---
title: Changelog | Tiger Data Docs
description: Get the latest updates and changes to Tiger Cloud products with links to detailed documentation
---

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## New cloud platform status page

April 6, 2026

✨ New Feature

[#](#new-cloud-platform-status-page)

## New cloud platform status page

The Tiger Cloud platform status page has been migrated to [status.tigerdata.com](https://status.tigerdata.com/). The new status page is tightly integrated with our incident response workflows to provide better visibility into service health, including historical uptime. You can subscribe to be notified whenever an incident is created, updated, and resolved.

## TimescaleDB v2.26 now on Tiger Cloud

March 30, 2026

✨ New Feature

[#](#timescaledb-v2-26-now-on-tiger-cloud)

## TimescaleDB v2.26 now on Tiger Cloud

TimescaleDB v2.26 continues improving how TimescaleDB scales for real-world analytical workloads, with major gains in columnstore query performance, better filtering efficiency on compressed data, and practical query-planning improvements that reduce unnecessary work. TimescaleDB 2.26.0 was released on March 24, 2026, and is available on GitHub and on Tiger Cloud as of March 30, 2026.

### Highlighted features in TimescaleDB v2.26

- **Faster analytical queries on the columnstore**

  This release expands the vectorized query path so more analytical queries can stay on the high-performance columnar execution engine instead of falling back to slower row-based processing.

  - **Vectorized PostgreSQL functions in aggregation paths:** Queries that use functions like `time_bucket()` in grouping or aggregation expressions can now continue running in the columnar pipeline. This delivers significantly faster performance for common analytical patterns, with benchmark examples showing roughly **3.5x faster** execution on affected workloads.
  - **Faster `MIN()`/`MAX()` on text columns:** `MIN()` and `MAX()` on text columns using C collation now run natively in the vectorized aggregation path, avoiding row-based fallback and improving performance for workloads that use text values as tie-breakers or grouping outputs.

- **Faster summary-style queries on compressed data**

  TimescaleDB 2.26 enables a new fast path for common aggregate and “latest/earliest value” queries on compressed chunks.

  - **`ColumnarIndexScan` enabled by default:** First introduced in 2.25.0 and now enabled by default in 2.26, this execution path allows queries using `COUNT`, `MIN`, `MAX`, and partial `FIRST`/`LAST` to read directly from sparse min/max metadata instead of decompressing full batches. This substantially improves performance for common summary queries on the columnstore, with benchmark examples showing speedups of up to **70x+**.

- **Better filtering and UPSERT performance with composite bloom filters**

  This release improves how TimescaleDB prunes compressed batches when queries or conflict checks involve multiple columns.

  - Composite bloom filters: Multi-column predicates can now be pushed down directly into compressed scans for both `SELECT` and `UPSERT` operations.
  - This helps avoid unnecessary decompression, improving efficiency for workloads with selective multi-column lookups and conflict-heavy writes.
  - Benchmark examples show **2x+ faster** performance when composite bloom filters apply.
  - `EXPLAIN` plans now surface more details to help you understand pruning effectiveness.

- **Smarter chunk exclusion**

  This release improves query planning so TimescaleDB can skip more irrelevant chunks earlier.

  - **Runtime chunk exclusion on nested loop joins:** Chunk exclusion now applies on the inner side of nested loop joins, reducing unnecessary scans for join-heavy workloads.
  - **Chunk exclusion for `IN`/`ANY` on open time dimensions:** Queries using these predicate patterns can now benefit from pruning as well, reducing wasted work on large datasets.

- **Quality of life and operability**

  - **Safer extension re-creation in-session:** `CREATE EXTENSION timescaledb` now works correctly after `DROP EXTENSION` in the same session.
  - **More reliable chunk creation in replication edge cases:** Fixes a failure mode tied to replica identity invalidation.
  - **Improved background worker reliability:** Advisory locks were removed from background worker job coordination and replaced with graceful cancellation logic, reducing contention and deadlock risk under concurrency.
  - **Internal catalog cleanup:** Removes a dropped column from `_timescaledb_catalog.chunk`; if you query internal catalog tables directly, update any dependencies.

For complete details, refer to the [TimescaleDB 2.26.0 release notes](https://github.com/timescale/timescaledb/releases/tag/2.26.0).

## New performance graphs in Metrics and Insights

March 31, 2026

✨ New Feature

[#](#new-performance-graphs-in-metrics-and-insights)

## New performance graphs in Metrics and Insights

Several new graphs are now available to help you monitor database performance and resource usage over time.

In `Metrics`, a new `Queries per Second` graph gives you a real-time view of your database’s throughput, making it easier to spot unexpected spikes or drops in query volume.

![Queries per second in Tiger Cloud](/docs/_astro/queries-per-second-tiger-cloud.BdpulxpZ_ZCpKXJ.webp)

In `Insights`, the query deep dive page now includes resource consumption metrics — CPU, memory, and storage IO (read and write) — tracked over time. Use this to identify whether a query’s performance is improving or degrading, and to understand the downstream impact of your queries on overall system health.

![Resource consumption metrics in Tiger Cloud](/docs/_astro/resource-consumption-metrics-tiger-cloud.BfLtWHmY_1kagqF.webp)

See [Metrics](/docs/deploy/tiger-cloud/tiger-cloud-aws/monitoring#metrics/index.md) and [Insights](/docs/deploy/tiger-cloud/tiger-cloud-aws/monitoring#insights/index.md) for more information.

## pg\_textsearch v1.0.0 (GA)

March 31, 2026

✨ New Feature 🏎️ Performance

[#](#pg-textsearch-v1-0-0-ga)

## pg\_textsearch v1.0.0 (GA)

**pg\_textsearch v1.0.0** is **generally available** and **production-ready** on Tiger Cloud. This release marks BM25 full-text search as supported for production workloads, with documentation and operations guidance aligned to GA. This includes implicit `<@>` query syntax, `bm25_force_merge()` for segment consolidation, expanded configuration and limitations, and PostgreSQL 17–18 compatibility.

**Learn more:**

- [Optimize full text search with BM25](/docs/deploy/tiger-cloud/tiger-cloud-aws/tiger-cloud-extensions/pg-textsearch/index.md)
- [pg\_textsearch v1.0.0 release notes](https://github.com/timescale/pg_textsearch/releases/tag/v1.0.0)

## Additional metrics available for export

March 24, 2026

✨ New Feature 🔌 Integration

[#](#additional-metrics-available-for-export)

## Additional metrics available for export

You can now enable the export of database metrics such as replication, cache usage, and background activity to Amazon CloudWatch, Datadog, and Prometheus by selecting `PostgreSQL metrics` when creating or modifying an exporter in Tiger Console. Additionally, system-level disk metrics such as IO and throughput are now being exported by default.

See [Exported metrics](/docs/integrate/observability-alerting/exported-metrics/index.md) for the full list of default and additional metrics, and [Observability & Alerting](/docs/integrate/observability-alerting/index.md) for how to create exporters.

## Support cases in Tiger Console

March 23, 2026

✨ New Feature

[#](#support-cases-in-tiger-console)

## Support cases in Tiger Console

You can now view and manage your support cases directly in Tiger Console. Open the `Support` tab at the project level to:

- View all support cases for your project from the last 90 days
- Read the full email conversation thread
- Reply to open cases
- Close open cases

![Manage support in Tiger Cloud](/docs/_astro/tiger-cloud-manage-support.oAio5bba_Z1Ot3bO.webp)

## Support for Azure Monitor

March 17, 2026

✨ New Feature 🔌 Integration

[#](#support-for-azure-monitor)

## Support for Azure Monitor

Tiger Cloud now offers support for exporting telemetry data from your Tiger Cloud services with the time-series and analytics capability enabled to Azure Monitor. To learn more, see [Integrate Azure Monitor with Tiger Cloud](/docs/integrate/observability-alerting/azure-monitor/index.md).

## Automated chunk tuning (beta)

March 6, 2026

✨ New Feature 🧪 Beta

[#](#automated-chunk-tuning-beta)

## Automated chunk tuning (beta)

Tiger Cloud now offers automated chunk tuning in beta, taking the guesswork out of setting and maintaining chunk intervals for your hypertables. When enabled, the tuner monitors your workload and adjusts chunk intervals automatically, no manual intervention required.

- **Per-hypertable opt-in:** disabled by default, automated chunk tuning can be enabled for individual hypertables in the Explorer.
- **Recommendations for all users:** even without enabling automated tuning, you can view the recommended chunk interval for any hypertable in the Explorer.
- **Gradual, safe adjustments:** the tuner moves chunk intervals incrementally to avoid disruptive jumps, and will never increase an interval beyond your configured compression lookback.
- **Activity log integration:** chunk interval changes are recorded in the Activity log for a full audit trail.
- **No instance overhead:** all calculations run outside your service via Schemata.

![Chunk auto-tuning in Tiger Cloud](/docs/_astro/automated-chunk-tuning.CjjnJoty_Z33plA.webp)

If you experience any negative impact, you can opt out at any time and manually reset the interval via the UI or SQL. [Learn more](/docs/build/performance-optimization/improve-hypertable-performance#optimize-hypertable-chunk-intervals/index.md) about automated chunk tuning.

## TimescaleDB v2.25 now on Tiger Cloud

March 5, 2026

✨ New Feature 🏎️ Performance

[#](#timescaledb-v2-25-now-on-tiger-cloud)

## TimescaleDB v2.25 now on Tiger Cloud

TimescaleDB v2.25 continues improving how PostgreSQL scales for time-series workloads, with major wins in query performance on compressed data, smoother continuous aggregate refresh behavior, and practical operational improvements as datasets and chunk counts grow. TimescaleDB 2.25 was released on January 29, 2026, and is now available to all users on Tiger Cloud.

### Release highlights

This release includes the following highlights:

- **Faster queries on compressed data**

  A new `ColumnarIndexScan` execution path uses columnar metadata to accelerate common aggregates and `FIRST`/`LAST` queries on compressed chunks. The feature is currently disabled by default due to a known issue with partial aggregations, but can be enabled by setting the GUC `enable_columnarindexscan` to `true`. It will be enabled by default in 2.26.

  - **`MIN`/`MAX`/`FIRST`/`LAST` on compressed data** can take fast paths and avoid scanning full chunks (reported up to **289× faster** in the example).
  - **`COUNT(*)` with time filters** can often skip reading the time column entirely (reported up to **50× faster** in the example), reducing CPU and memory pressure.

- **Continuous aggregates**

  This release reduces contention and refresh overhead for continuous aggregates, especially when using the columnstore.

  - **Direct compress on continuous aggregate refresh (GUC, off by default)** writes refresh results directly to the columnstore, bypassing the rowstore step that can cause policy contention and temporary storage overhead. This also reduces WAL activity, and will be enabled by default in an upcoming release.
  - **Direct batch delete** restores a key columnstore optimization for `DELETE`s on compressed hypertables: when conditions allow, it can delete whole batches without decompressing and deleting row-by-row. Previously, this path was disabled for tables with continuous aggregates because it didn’t emit the invalidation details needed to trigger the right refresh ranges. In 2.25, that support is added, so hypertables using the columnstore and continuous aggregates can benefit from faster, lower-I/O deletes.
  - **Smaller, steadier refresh transactions by default**: continuous aggregate refreshes can be broken into smaller “batches,” where each batch refreshes a portion of the overall time range. This keeps materialization results (and transactions) smaller, reducing stress on the service and improving predictability under heavy refresh/backfill patterns. The default `buckets_per_batch` is now **10** (previously **1**, effectively no batching).
  - **Safer defaults for continuous aggregates using the columnstore:** we’ve seen cases where columnstore-backed CAggs can time out during refresh due to suboptimal defaults. This release removes the automatic assignment of `segmentby` for columnstore CAggs (effectively using no `segmentby`) and sets the `orderby` column to the bucketing timestamp to improve refresh behavior.

- **Quality of life/operability**

  - **Estimate original size for columnstore chunks** to support workflows that depend on pre-compression sizing (for example, tiering/billing and Console reporting), especially as direct compress becomes more common and raw-size stats may not exist. This also improves accuracy versus older “frozen” compression stats that didn’t reflect subsequent DML (like deletes).

    Example:

    ```
    SELECT _timescaledb_functions.estimate_uncompressed_size('<schema>.<chunk_name>');
    ```

  - **Option to auto-add newly created chunks to a publication** (GUC, off by default) to simplify logical replication workflows.

  - **Configurable `work_mem` for background worker jobs** when jobs need more memory to avoid spooling to disk. You can set it per job via the job `config` JSON.

    Example:

    ```
    SELECT add_job('my_proc', '1 hour', config => '{"work_mem": "256MB"}'::jsonb);
    ```

    Update an existing job:

    ```
    SELECT alter_job(id, config := jsonb_set(config,'{work_mem}','"256MB"')) FROM _timescaledb_catalog.bgw_job WHERE id = <job_id>;
    ```

For complete details, refer to the [TimescaleDB 2.25 release notes](https://github.com/timescale/timescaledb/releases/tag/2.25.0).

## CLI and MCP walkthrough in Tiger Console

March 4, 2026

✨ New Feature

[#](#cli-and-mcp-walkthrough-in-tiger-console)

## CLI and MCP walkthrough in Tiger Console

We have added a new panel in Tiger Console that walks you through setting up:

- the Tiger Cloud command line interface (CLI) for easily controlling your project from your terminal
- the Tiger Data MCP server for adding functionality to your AI building tools

There are walkthroughs for MacOS, Linux, and Windows. Find the actions in the project view under the `CLI/MCP` tab.

![Tiger Cloud CLI/MCP walkthrough](/docs/_astro/cli-mcp-walkthrough-tiger-console.BnV9UKe2_2oBHfe.webp)

## Jobs timeline view

March 2, 2026

✨ New Feature

[#](#jobs-timeline-view)

## Jobs timeline view

We have added a timeline view to the `Jobs` page so you can easily see the status of all of your recent job runs at a glance. Hover over each run for more detail, or click on a specific job to go into the deep dive jobs view. See [Monitor your Tiger Cloud services](/docs/deploy/tiger-cloud/tiger-cloud-aws/monitoring/#jobs/index.md).

![Tiger Cloud jobs timeline](/docs/_astro/tiger-console-jobs-timeline-view.B9LcH-xP_Z2ii5eF.webp)

## Azure Marketplace automation and UI updates

February 18, 2026

✨ New Feature 💡 Improvement

[#](#azure-marketplace-automation-and-ui-updates)

## Azure Marketplace automation and UI updates

### Azure Marketplace automation

Microsoft customers can quickly sign up for Tiger Cloud through Azure Marketplace, enabling streamlined procurement and consolidated billing. Previously the signup process was manual, requiring help from us at Tiger Data. Now it’s completely self-serve! You can find the product under the annual commit and pay as you go pricing options at the marketplace.

![Azure marketplace Tiger Cloud entry](/docs/_astro/azure-marketplace-automation-1.DBewpA2P_WpPp4.webp)![Azure marketplace Tiger Cloud integration](/docs/_astro/azure-marketplace-automation-3.egoI1tPC_giPcR.webp)

### Floating SQL editor

We have changed the interface for the SQL editor to be floating, as opposed to a dedicated tab. Now SQL editor follows you as you navigate around the UI within an individual service. This change improves the usability and allows you to easily reference your schema (through Explorer) when writing SQL queries.

![Floating SQL editor](/docs/_astro/floating-sql-editor-tiger-cloud.BY0zI1Ac_OPpBS.webp)

### Data/Ops view toggle added at the service level

We brought back the toggle between the Ops view and Data view within the context of a service. You can now easily switch to Data view from inside an individual service. The toggle is available above the top navigation in the UI.

![View toggle](/docs/_astro/tiger-cloud-view-toggle.VAwzX9p3_2fbxO.webp)

## pg\_textsearch v0.5.0

February 13, 2026

✨ New Feature

[#](#pg-textsearch-v0-5-0)

## pg\_textsearch v0.5.0

pg\_textsearch v0.5.0 is now available on Tiger Cloud.

This release includes the following highlights:

- Parallel index builds: `CREATE INDEX` now uses multiple workers for faster indexing of large tables. PostgreSQL automatically allocates workers based on the table size and the `max_parallel_maintenance_workers` setting.
- Improvements for BM25 indexes on hypertables.
- Stability fixes.

See [Optimize full text search with BM25](/docs/deploy/tiger-cloud/tiger-cloud-aws/tiger-cloud-extensions/pg-textsearch/index.md) for how to use it.

## Tiered storage on Microsoft Azure

February 11, 2026

✨ New Feature

[#](#tiered-storage-on-microsoft-azure)

## Tiered Storage on Microsoft Azure

Tiered Storage is now available for Tiger Cloud services running on Microsoft Azure, bringing cost-effective data management to our Azure customers. This feature enables you to automatically move rarely accessed data to low-cost storage on Azure Blob Storage while maintaining the ability to query it seamlessly with standard SQL. Customers typically see a reduction of 2-5x in storage costs depending on data compression rates.

Azure Tiered Storage works just like the AWS version: enable it in Tiger Console, set tiering policies on your hypertables, and Tiger Cloud handles the rest. With this release, Tiger Cloud Services on Azure offer the same powerful data lifecycle management capabilities as those running on AWS.

## Europe (Zurich) is now available

February 11, 2026

🌍 Availability

[#](#europe-zurich-is-now-available)

## Europe (Zurich) is now available

Starting today, you can use Tiger Cloud in the AWS Europe (Zurich) Region. This enables applications to have low-latency access to Tiger Cloud services while meeting data residency requirements. To create your first service, see [Get started with Tiger Data](https://www.tigerdata.com/docs/getting-started/latest). For a complete list of regional availability, see [available regions](https://www.tigerdata.com/docs/about/latest/supported-platforms#available-regions).

## pg\_textsearch improvements (v0.3.0 and v0.4.0)

January 16, 2026

🏎️ Performance

[#](#pg-textsearch-improvements-v0-3-0-and-v0-4-0)

## pg\_textsearch improvements (v0.3.0 and v0.4.0)

Tiger Cloud now includes significant improvements to `pg_textsearch`, bringing major gains in query performance, index size, and scalability.

**What’s new:**

- **Block MAX-WAND ranked search (v0.3.0):** Introduces the Block MAX-WAND algorithm for ranked keyword search, delivering substantial performance improvements. Query performance is now competitive with the fastest PostgreSQL-based search solutions.
- **Posting-list compression (v0.4.0):** Reduces index sizes by 40% or more, making `pg_textsearch` indexes smaller and more efficient.
- **Improved partition handling (v0.4.0):** Fixes and stability improvements for indexes on tables with large numbers of partitions.

Later releases added **parallel index builds** (v0.5.0) and further refinements; see the [pg\_textsearch changelog](https://github.com/timescale/pg_textsearch/blob/main/CHANGELOG.md) and [v1.0.0 GA](/docs/deploy/tiger-cloud/tiger-cloud-aws/tiger-cloud-extensions/pg-textsearch/index.md) for current status.

**Learn more:**

- [pg\_textsearch v0.3.0 release notes](https://github.com/timescale/pg_textsearch/releases/tag/v0.3.0)
- [pg\_textsearch v0.4.0 release notes](https://github.com/timescale/pg_textsearch/releases/tag/v0.4.0)

## PostgreSQL 18 support

January 13, 2026

✨ New Feature

[#](#c-pg-18-support)

## PostgreSQL 18 support

Tiger Cloud now supports **PostgreSQL 18**. All new services are created with PostgreSQL 18 by default, and existing services can upgrade to PostgreSQL 18.

**PostgreSQL 18 highlights include:**

- **Asynchronous I/O (AIO)** for significantly faster read-heavy workloads
- **Faster, less disruptive major upgrades** with improved `pg_upgrade` capabilities
- **Virtual generated columns** and the **`uuidv7()`** function for better UUID handling
- **Query performance improvements**, including expanded index usage and parallel GIN index builds
- **Security enhancements** including OAuth 2.0 authentication support

For more details about PostgreSQL 18, see the [official announcement](https://www.postgresql.org/about/news/postgresql-18-released-3142/).

## Terraform support for S3 source connectors and pg\_textsearch update

January 9, 2026

🔌 Integration

[#](#terraform-support-for-s3-source-connectors-and-pg-textsearch-update)

## Terraform Support for S3 Source Connectors and pg\_textsearch update

### Terraform support for S3 source connectors

We’ve added a new `timescale_connector_s3` resource to the Tiger Data Terraform provider, enabling full Infrastructure as Code management of S3 source connectors. Teams can now declaratively create, update, and manage S3 connectors supporting CSV and Parquet files, multiple auth methods, and configurable sync options. Available in [Terraform provider v2.7.0+](https://releases.hashicorp.com/terraform-provider-archive).

### pg\_textsearch v0.2.0 released and on Tiger Cloud

The newest version of pg\_textsearch has automated benchmark infrastructure, groundwork for storage and query optimizations in upcoming releases, and numerous bugfixes.

See more details in the [pg\_textsearch GitHub release notes](https://github.com/timescale/pg_textsearch/releases/tag/v0.2.0).

## Activity log and TimescaleDB v2.24

December 12, 2025

✨ New Feature 💡 Improvement

[#](#activity-log-and-timescaledb-v2-24)

## Activity log and TimescaleDB v2.24

### Activity log

Tiger Cloud Console now offers the Activity tab that displays the activity log for all your services. This serves as a record of actions that have happened to your services and Tiger Cloud account, such as service resizes and project invitations. The activity log includes the corresponding service, the user who performed the action, and a description of the action itself.

![Activity log on Tiger Cloud](/docs/_astro/activity-log.BjZOKP7B_17Id74.webp)

### TimescaleDB 2.24

TimescaleDB 2.24 delivers more efficient recompression operations, expanded use of continuous aggregates, and better invalidation behavior.

**Highlighted features:**

- **In-memory recompression:** A new `recompress := true` option for `convert_to_columnstore()` performs batch compaction entirely in memory, offering 4–5x faster performance compared to the previous spill-to-disk method.
- **Bloom filters on ARM-based Tiger Cloud services:** Bloom filters return with corrected hashing support for the ARM architecture.
- **Continuous aggregate updates:** Smarter invalidation range capping, direct compress invalidation support, and UUIDv7 support for continuous aggregates.

For complete details, see the [TimescaleDB 2.24 release notes](https://github.com/timescale/timescaledb/releases/tag/2.24.0).

## New navigation in Console

December 5, 2025

💡 Improvement

[#](#new-navigation-in-console)

## New navigation in Console

We have updated the design of the navigation in Console to improve consistency, reduce distractions, and make it easier and faster to navigate through the different menus.

![New console navigation](/docs/_astro/console-new-navigation.C3bb9RpJ_Z1yU9RU.webp)

## S3 connector GA and Tiger Lake public beta

November 28, 2025

🎉 GA 🧪 Beta

[#](#s3-connector-ga-and-tiger-lake-public-beta)

## S3 connector GA and Tiger Lake public beta

### S3 source connector general availability

The S3 source connector is now production-ready, delivering major improvements in reliability, performance, and correctness across the entire ingestion pipeline.

### Tiger Lake public beta

Tiger Lake is now available in public beta with full DML support, high-performance ingestion, enhanced resilience and self-healing, and improved deployment experience.

Read the [documentation](https://www.tigerdata.com/docs/use-timescale/latest/tigerlake) to get started.

## TimescaleDB v2.23 – improved getting started, automatic columnstore, and faster continuous aggregate invalidation tracking

November 14, 2025

✨ New Feature ⚠️ Deprecation

[#](#timescaledb-v2-23-improved-getting-started-automatic-columnstore-and-faster-continuous-aggregate-invalidation-tracking)

## TimescaleDB v2.23 – improved getting started, automatic columnstore, and faster continuous aggregate invalidation tracking

### Highlighted features in TimescaleDB v2.23.0

- Simplified hypertable creation with automatic selection of all parameters
- UUIDv7 compression enabled by default (\~30% storage savings and up to 2x faster queries)
- Direct-to-Columnstore (tech preview) with INSERT support
- Relaxed locking for chunk merging
- Unlogged hypertables for improved performance when durability is not required
- Continuous aggregates improvements with 10–20% faster DML performance

### Deprecations

- PostgreSQL 15 deprecation: Support will be removed after June 2026
- WAL-based invalidation will be sunset in upcoming releases

For more details on simplified hypertable creation, see [Create a hypertable](https://www.tigerdata.com/docs/api/latest/hypertable/create_table/#samples). To learn more about Direct-to-Columnstore, see the [documentation](https://www.tigerdata.com/docs/use-timescale/latest/write-data/insert/#direct-compress-on-insert) and this [blog post](https://www.tigerdata.com/blog/introducing-direct-compress-up-to-40x-faster-leaner-data-ingestion-for-developers-tech-preview). For currently supported TimescaleDB versions, see [Supported platforms](https://www.tigerdata.com/docs/about/latest/supported-platforms/#postgres-timescaledb-support-matrix). For a comprehensive list of changes, see the [TimescaleDB 2.23 release notes](https://github.com/timescale/timescaledb/blob/main/CHANGELOG.md#2230-2025-10-29).

## S3 source connector and crypto payments

October 31, 2025

✨ New Feature 🔐 Security

[#](#s3-source-connector-and-crypto-payments)

## S3 source connector and crypto payments

### Crypto payments: early access!

You can now pay Tiger Cloud invoices with stablecoins (USDC, USDP, USDG) through Stripe’s crypto payments.

![Crypto payments](/docs/_astro/tiger-cloud-crypto-payment.DKnIzw9Y_25w5sk.webp)

### Detailed S3 source connector progress screen

Major improvements to the S3 source connector with better observability including cumulative summary, search, detailed file statuses, filtering, bulk retry, lifecycle history, and auto-refresh.

![S3 connector stats](/docs/_astro/tiger-console-s3-connector-import-details.DbkXHMp-_1BMtgk.webp)

## AI and Tiger Cloud major changes!

October 24, 2025

✨ New Feature

[#](#ai-and-tiger-cloud-major-changes)

## AI and Tiger Cloud major changes!

### Free pricing plan and free services

New Free plan with up to two free services for prototyping.

### Tiger CLI

New CLI tool to control Tiger Cloud from the terminal for signing up, spinning up services, and executing SQL.

### Tiger MCP for PostgreSQL and TimescaleDB

New MCP server enabling AI agents to interact with the database with built-in master prompts and high-level tools.

### Fluid storage

New distributed storage layer for instant forks, snapshots, and automatic scaling with over 100,000 IOPS throughput.

### pg\_textsearch extension preview

New extension enabling BM25 on PostgreSQL for significant improvements in text search.

## TimescaleDB 2.22.1 – configurable indexing, enhanced partitioning, and faster queries

October 10, 2025

🏎️ Performance ✨ New Feature

[#](#timescaledb-2-22-1-configurable-indexing-enhanced-partitioning-and-faster-queries)

## TimescaleDB 2.22.1 – configurable indexing, enhanced partitioning, and faster queries

### Highlighted features

- **Configurable sparse indexes:** Manually configure sparse indexes on compressed hypertables
- **UUIDv7 support:** Native support for UUIDv7 for compression and partitioning
- **Multi-column SkipScan:** Support for multiple distinct keys with millisecond-fast deduplication and `DISTINCT ON` queries across billions of rows. Learn more in our [blog post](https://www.tigerdata.com/blog/skipscan-in-timescaledb-why-distinct-was-slow-how-we-built-it-and-how-you-can-use-it) and [documentation](https://www.tigerdata.com/docs/use-timescale/latest/query-data/skipscan/).
- **Compression improvements:** Default `segmentby` and `orderby` settings are now applied at compression time for each chunk, automatically adapting to evolving data patterns for better performance. This was previously set at the hypertable level and fixed across all chunks.

For a comprehensive list of changes, refer to the TimescaleDB [2.22](https://github.com/timescale/timescaledb/releases/tag/2.22.0) and [2.22.1](https://github.com/timescale/timescaledb/releases/tag/2.22.1) release notes, as well as [TimescaleDB 2.22.1](https://github.com/timescale/timescaledb/releases).

## Kafka source connector (beta)

September 19, 2025

🧪 Beta 🔌 Integration

[#](#kafka-source-connector-beta)

## Kafka Source Connector (beta)

New Kafka Source Connector enables you to connect existing Kafka clusters directly to Tiger Cloud and ingest data from Kafka topics into hypertables. Supports AVRO format and Confluent Cloud and Amazon Managed Streaming for Apache Kafka.

Learn more in the [Kafka Source Connector docs](https://www.tigerdata.com/docs/migrate/latest/livesync-for-kafka/).

![Kafka source connector in Tiger Cloud](/docs/_astro/kafka-source-connector-tiger-data.0RSrebOp_ZxV71X.webp)![Kafka source connector streaming in Tiger Cloud](/docs/_astro/kafka-source-connector-streaming.VTY9OdlM_ZteHBr.webp)

## Phased update rollouts, pg\_cron, larger compute options, and backup reports

September 12, 2025

✨ New Feature 💡 Improvement

[#](#phased-update-rollouts-pg-cron-larger-compute-options-and-backup-reports)

## Phased update rollouts, pg\_cron, larger compute options, and backup reports

### Phased rollouts for TimescaleDB minor releases

Starting with TimescaleDB 2.22.0, minor releases roll out in phases, dev services first, followed by prod after 21 days. See [Maintenance and upgrades](https://www.tigerdata.com/docs/use-timescale/latest/upgrades/) for details.

### pg\_cron extension

`pg_cron` is now available on Tiger Cloud for scheduling SQL commands automatically.

### Larger compute options: 48 and 64 CPU

New compute options with 48 and 64 CPUs available on Enterprise plan.

![CPU options in Tiger Cloud](/docs/_astro/tiger-cloud-cpu-options.BRmYoK88_ZexpNd.webp)

### Backup report for compliance

Scale and Enterprise customers can now view backup lists for compliance needs.

![Backup reports in Tiger Cloud](/docs/_astro/backup-history-tiger-cloud.ks7kQEWt_1TeMS9.webp)

## New data import wizard

September 5, 2025

💡 Improvement

[#](#new-data-import-wizard)

## New data import wizard

### Improved import experience

Cleaner, more intuitive UI for data import with recommended options and clear categories.

![Data import in Tiger Cloud](/docs/_astro/data-import-wizard-in-tiger-cloud.DkQN8EFR_pbL7A.webp)

A new data import component has been added to the overview dashboard:

![Overview dashboard in Tiger Cloud](/docs/_astro/service-dashboard-tiger-cloud.qsMYDbTm_ZTG9WY.webp)

## Enhancements to the PostgreSQL source connector

August 28, 2025

💡 Improvement

[#](#enhancements-to-the-c-pg-source-connector)

## Enhancements to the PostgreSQL source connector

### What’s new

- Easy table selection with dropdown menus
- Enhanced metadata sync showing initial data copy progress and change data capture replication lag
- Improved UX design with separate sections for initial data copy and change data capture

![Connectors UX](/docs/_astro/connectors-new-ui.CoW2nvhj_Q032p.webp)

## Developer role GA and hypertable transformation in Console

August 21, 2025

🎉 GA ✨ New Feature

[#](#developer-role-ga-and-hypertable-transformation-in-console)

## Developer role GA and hypertable transformation in Console

### Developer role (GA)

Project-scoped permission set for technical users to build, operate services, create or modify resources, and use observability.

### Transform a table to a hypertable from the Explorer

Easy hypertable creation directly from the Explorer for regular PostgreSQL tables.

![Transform a table to a hypertable](/docs/_astro/table_to_hypertable_1.Brdn2xRH_ZVLz2j.webp)![Transform a table to a hypertable](/docs/_astro/table_to_hypertable_2.BZo-eWo3_Z1atsK5.webp)

## Cross-region backups, PostgreSQL options, and onboarding

August 14, 2025

✨ New Feature 🔐 Security

[#](#cross-region-backups-c-pg-options-and-onboarding)

## Cross-region backups, PostgreSQL options, and onboarding

### Cross-region backups

Store backups in a different region than your service for improved resilience.

### Standard PostgreSQL instructions for onboarding

Basic instructions for INSERT, UPDATE, DELETE commands in the Import Data page.

### PostgreSQL-only service type

Option to choose PostgreSQL-only in the service creation flow.

## Viewer role GA, EXPLAIN plans, and chunk index sizes in Explorer

July 31, 2025

🎉 GA 💡 Improvement

[#](#viewer-role-ga-explain-plans-and-chunk-index-sizes-in-explorer)

## Viewer role GA, EXPLAIN plans, and chunk index sizes in Explorer

### GA release of the viewer role

Read-only access to services, metrics, and logs without modify permissions.

### EXPLAIN plans in Insights

Automatically generated EXPLAIN plans for queries taking longer than 10 seconds.

### Chunk index size in Explorer

Find the index size of hypertable chunks in the Explorer.

## TimescaleDB v2.21 and catalog objects in the Console Explorer

July 25, 2025

🏎️ Performance ✨ New Feature

[#](#timescaledb-v2-21-and-catalog-objects-in-the-console-explorer)

## TimescaleDB v2.21 and catalog objects in the Console Explorer

### TimescaleDB v2.21

- **High-scale ingestion performance:** Compress data directly into columnstore during ingestion (1.2M rows/second in tests)
- **Faster UPSERTs:** 2.5x faster for heavily constrained tables
- **Faster deletion:** 42x faster DELETE operations on non-segmentby columns
- **Enhanced continuous aggregates:** Concurrent refresh policies and batched refreshes enabled by default

For a comprehensive list of changes, see the [TimescaleDB v2.21 release notes](https://github.com/timescale/timescaledb/releases/tag/2.21.0).

### Catalog objects in the Console Explorer

View catalog objects in the Console Explorer to understand database inner workings.

![Explore catalog objects](/docs/_astro/tiger-cloud-explorer-catalog-objects.B5WkWcUv_1Hhz92.webp)

## Iceberg destination connector (Tiger lake)

July 18, 2025

🧪 Beta 🔌 Integration

[#](#iceberg-destination-connector-tiger-lake)

## Iceberg Destination Connector (Tiger Lake)

### Beta availability

Beta Iceberg destination connector enables Scale and Enterprise users to integrate Tiger Cloud with Amazon S3 tables. For setup details, see the [Iceberg destination connector documentation](https://www.tigerdata.com/docs/use-timescale/latest/tigerlake/).

## Console just got better

July 11, 2025

💡 Improvement

[#](#console-just-got-better)

## Console just got better

### Editable jobs in Console

Edit jobs directly in Console with custom wizards for Tiger Cloud job types.

![Edit jobs in console](/docs/_astro/console-jobs-edit.Cy5fuIMM_Z18m3p6.webp)

### Connection history

View historical connection counts in the Connections tab.

![View connection history in console](/docs/_astro/console-connection-history.BU7uzpN7_1lPHs6.webp)

### Read-Only access through RBAC (Public beta)

New viewer-only permissions for users who need visibility without modify access.

## Super useful doc updates

July 4, 2025

💡 Improvement

[#](#super-useful-doc-updates)

## Super useful doc updates

### Updates to livesync instructions

Clarified step-by-step procedures for setting up livesync with more detailed examples.

### New optional argument for add\_continuous\_aggregate\_policy API

Added the `refresh_newest_first` argument to control incremental refresh order.

## Multi-command queries in SQL editor, improved job page experience, multiple AWS Transit gateways, and a new service creation flow

June 20, 2025

✨ New Feature 💡 Improvement

[#](#multi-command-queries-in-sql-editor-improved-job-page-experience-multiple-aws-transit-gateways-and-a-new-service-creation-flow)

## Multi-command queries in SQL editor, improved job page experience, multiple AWS Transit Gateways, and a new service creation flow

### Run multiple statements in SQL editor

Execute complex queries with multiple commands in a single run.

### Branch conversations in SQL assistant

Start new discussion threads from any point in SQL assistant chat.

### Smarter results table

- Expand JSON data instantly into readable columns
- Smart filters with dropdown options

### Jobs page improvements

Individual job pages now display their configuration for TimescaleDB job types.

### Multiple AWS Transit gateways

Connect multiple AWS Transit Gateways with overlapping CIDRs.

### Updated service creation flow

Clearer service type options for PostgreSQL extensions.

![Create a new Tiger Cloud service in Tiger Console](/docs/_astro/create-tiger-cloud-service.DR9ESqG0_1WwCkT.webp)

## Improved Terraform support and TimescaleDB v2.20.3

June 13, 2025

🔌 Integration 💡 Improvement

[#](#improved-terraform-support-and-timescaledb-v2-20-3)

## Improved Terraform support and TimescaleDB v2.20.3

### Terraform support

Latest version adds support for creating and attaching observability exporters and AWS Transit Gateway configuration. Check the [Timescale Terraform provider documentation](https://registry.terraform.io/providers/timescale/timescale/latest/docs) for more details.

### TimescaleDB v2.20.3

Patch release with bug fixes including SkipScan costing adjustments and dump/restore operation fixes. For a comprehensive list of changes, see the [TimescaleDB 2.20.3 release notes](https://github.com/timescale/timescaledb/releases/tag/2.20.3).

## Read replica sets, faster tables, new anthropic models, and VPC support in data mode

June 6, 2025

✨ New Feature 🏎️ Performance

[#](#read-replica-sets-faster-tables-new-anthropic-models-and-vpc-support-in-data-mode)

## Read replica sets, faster tables, new anthropic models, and VPC support in data mode

### Horizontal read scaling with read replica sets

[Read replica sets](https://docs.timescale.com/use-timescale/latest/ha-replicas/read-scaling/) let you scale reads horizontally by creating up to 10 replica nodes behind a single read endpoint.

![Create a read replica set in Timescale Console](/docs/_astro/create-read-replica-set-timescale-console.B66ju_Nt_ZlGNTh.webp)

### Faster, smarter results tables in data mode

Completely rebuilt query results display with smooth scrolling, custom settings preservation, and better filtering.

### Latest anthropic models added to SQL assistant

Support for Sonnet 4, Sonnet 4 (extended thinking), Opus 4, and Opus 4 (extended thinking).

### VPC support for passwordless data mode connections

Expanded passwordless data mode functionality to services using a VPC.

## Enhanced service monitoring, TimescaleDB v2.20, and livesync for PostgreSQL

May 30, 2025

🏎️ Performance ✨ New Feature ⚠️ Deprecation

[#](#enhanced-service-monitoring-timescaledb-v2-20-and-livesync-for-c-pg)

## Enhanced service monitoring, TimescaleDB v2.20, and livesync for PostgreSQL

### Updated top-level navigation - monitoring tab

Consolidated service information tabs into a single Monitoring tab.

![Insights](/docs/_astro/insights_overview_timescale.BhuLGBUI_1YYAD2.webp)

### Monitor active connections

View information about active connections including queries, application names, and duration.

![Connections](/docs/_astro/console-monitoring-connections.DHoCoklS_ZlvtQh.webp)

### TimescaleDB v2.20

All new services use TimescaleDB v2.20 with significant performance improvements:

- Handle data updates and upserts up to 10x faster
- Up to 6x faster point queries with new bloom filters
- Up to 2500x faster DISTINCT operations with SkipScan
- 8x more efficient Boolean column storage

For details, see the [TimescaleDB v2.20 release notes](https://github.com/timescale/timescaledb/releases/tag/2.20.0).

### PostgreSQL 13 and 14 deprecated on Tiger Cloud

TimescaleDB 2.20 requires PostgreSQL 15+. Upgrade required by September 15, 2025.

### Enhancements to livesync for PostgreSQL

- Edit running livesync to add and drop tables
- Create multiple livesync instances per service
- Dropdown menu for schema and table name selection

For setup steps, see [Livesync for PostgreSQL](https://docs.timescale.com/migrate/latest/livesync-for-postgresql/).

## More storage types and IOPS

May 22, 2025

✨ New Feature

[#](#more-storage-types-and-iops)

## More storage types and IOPS

### Enhanced storage: scale to 64 TB and 32,000 IOPS

New storage type supporting up to 64 TB capacity and 32,000 IOPS per service, powered by AWS io2 volumes.

![I/O boost in Timescale Cloud](/docs/_astro/io-boost-timescale-cloud.BVtNAdBZ_16DwU.webp)

Learn more in the [data tiering documentation](https://docs.timescale.com/use-timescale/latest/data-tiering/enabling-data-tiering/).

## New export and import options

May 15, 2025

🔌 Integration ✨ New Feature

[#](#new-export-and-import-options)

## New export and import options

### Ship TimescaleDB metrics to Prometheus

Prometheus Exporter for Tiger Cloud enables shipping of TimescaleDB metrics with custom Grafana dashboards and alerting. For configuration details, see [metrics to Prometheus](https://docs.timescale.com/use-timescale/latest/metrics-logging/metrics-to-prometheus/).

![Prometheus export user interface](/docs/_astro/timescale-create-prometheus-exporter.BHEEPZEg_ZxycP6.webp)

### Import text files into PostgreSQL tables

New import option for local text files for use with Vectorizers, available from **Service → Actions → Import Data** in Timescale Console.

## Automatic document embeddings from S3 and a sample dataset for AI testing

May 9, 2025

✨ New Feature 🔌 Integration

[#](#automatic-document-embeddings-from-s3-and-a-sample-dataset-for-ai-testing)

## Automatic document embeddings from S3 and a sample dataset for AI testing

### Automatic document embeddings from S3

pgai vectorizer now supports automatic document vectorization from S3 with support for PDFs, DOCX, XLSX, HTML, and more.

![create a vectorizer](/docs/_astro/console-create-a-vectorizer.Cs7zTRP2_12gHpR.webp)

### Sample dataset for AI testing

Import a dataset directly from Hugging Face using Tiger Console.

![hugging face sample data](/docs/_astro/console-import-huggingface-data.DtglKMky_Z1TBsE6.webp)

## Livesync for S3 and passwordless connections for data mode

April 25, 2025

🧪 Beta ✨ New Feature

[#](#livesync-for-s3-and-passwordless-connections-for-data-mode)

## Livesync for S3 and passwordless connections for data mode

### Livesync for S3 (beta)

[Livesync for S3](https://docs.timescale.com/migrate/latest/livesync-for-s3/) syncs data in S3 buckets to a Tiger Cloud service, handling both existing and new data in real time.

![Timescale Console new livesync](/docs/_astro/livesync-s3-start-new-livesync.CQL6Yfwa_bxTQJ.webp)![Timescale Console livesync view status](/docs/_astro/livesync-s3-view-status.BiwCeKxV_2nHCPO.webp)

### UX improvements to livesync for PostgreSQL

Added a detailed two-step checklist with configuration instructions to Tiger Console, building on [livesync for PostgreSQL](https://docs.timescale.com/migrate/latest/livesync-for-postgresql/).

![Livesync PostgreSQL configuration instructions in Tiger Console](/docs/_astro/livesync-postgres-console-config-instuctions.BU_CuHCl_oFUWt.webp)

### Passwordless data mode connections

All new services created in Tiger Cloud are now automatically accessible from [data mode](https://docs.timescale.com/getting-started/latest/run-queries-from-console/#connect-to-your-timescale-cloud-service-in-the-data-mode) without credentials.

![Timescale Console passwordless data mode](/docs/_astro/data-mode-connections.CPJY0TVX_Zn1Wdq.webp)

## Embeddings spot checks, TimescaleDB v2.19.3, and new models in SQL assistant

April 18, 2025

💡 Improvement ✨ New Feature

[#](#embeddings-spot-checks-timescaledb-v2-19-3-and-new-models-in-sql-assistant)

## Embeddings spot checks, TimescaleDB v2.19.3, and new models in SQL Assistant

### Embeddings spot checks

Quickly check embedding quality from vectorizers’ outputs using a simple UI.

![Embedding Quality Inspection](/docs/_astro/ai-spot-checks.DhtQ_Bb8_1e5dIj.webp)

### TimescaleDB v2.19.3

New services use TimescaleDB v2.19.3 with bug fixes for columnstore queries and hypercore table access.

### New OpenAI, Llama, and Gemini models

SQL Assistant now supports GPT-4.1, Llama 4, and Gemini models.

![SQL Assistant - New Models](/docs/_astro/sql-assistant-new-models.C23zc_TE_Z1S9HTl.webp)

## TimescaleDB v2.19, new service overview page, and log improvements

April 11, 2025

🏎️ Performance 💡 Improvement

[#](#timescaledb-v2-19-new-service-overview-page-and-log-improvements)

## TimescaleDB v2.19, new service overview page, and log improvements

### TimescaleDB v2.19

- Improved concurrency of INSERT, UPDATE, and DELETE on columnstore
- Faster continuous aggregate refreshes with smaller batches
- Faster analytical queries with SIMD vectorization
- Enable chunk size optimization with merge\_chunk

See the [TimescaleDB v2.19 release notes](https://github.com/timescale/timescaledb/releases/tag/2.19.0) for more details.

### New service overview page

Overhauled service overview with architecture diagram and general information with recommendations.

![New Service Overview page](/docs/_astro/new-timescale-service-overview.BNwv99Oz_Z2grpnI.webp)

### Find logs faster

Added date, time, and timezone picker for quick log navigation.

![Find logs faster](/docs/_astro/find-logs-faster-timescale-console.D-SL2XSC_1mCJwA.webp)

## Faster vector search and improved job information

April 4, 2025

🏎️ Performance 💡 Improvement

[#](#faster-vector-search-and-improved-job-information)

## Faster vector search and improved job information

### pgvectorscale 0.7.0

Label-based filtered vector search with filtered indexes for StreamingDiskANN. For details, see the [pgvectorscale 0.7.0 release notes](https://github.com/timescale/pgvectorscale/releases/tag/0.7.0) and the [usage example](https://github.com/timescale/pgvectorscale?tab=readme-ov-file#label-based-filtering-with-diskann).

### Job errors and individual job pages

Each job has individual page with detailed error information for debugging.

- Successful jobs:

  ![Log success in Timescale Console](/docs/_astro/changelog-job-success-page.BkxJXCH6_6pw3H.webp)

- Unsuccessful jobs with errors:

  ![Log errors in Timescale Console](/docs/_astro/changelog-job-error-page.BZvvzk7t_Z2bPEiE.webp)

## In-Console Livesync for PostgreSQL

March 21, 2025

✨ New Feature

[#](#in-console-livesync-for-c-pg)

## In-Console Livesync for PostgreSQL

### Set up in Console

Set up active data ingestion with [livesync for PostgreSQL](https://docs.timescale.com/migrate/latest/livesync-for-postgresql/) in Tiger Console.

![Livesync in Timescale Console](/docs/_astro/timescale-cloud-livesync-tile.Cgbq_FBz_Z1WsRo7.webp)![Set up Timescale Livesync](/docs/_astro/set-up-timescale-cloud-livesync.DHsrZI57_1Xrx3q.webp)![Select tables for Livesync](/docs/_astro/select-tables-for-timescale-cloud-livesync.CIqfcfCY_9ftJL.webp)![Timescale Livesync running](/docs/_astro/livesync-view-status.DsDu_Sad_ZLmAqn.webp)

## 16K dimensions on pgvectorscale plus new pgai Vectorizer support

March 14, 2025

✨ New Feature 🔌 Integration

[#](#16k-dimensions-on-pgvectorscale-plus-new-pgai-vectorizer-support)

## 16K dimensions on pgvectorscale plus new pgai Vectorizer support

### pgvectorscale 0.6

Support for vectors with up to 16,000 dimensions. NEON support for SIMD distance calculations on aarch64 processors. See the [pgvectorscale 0.6.0 release notes](https://github.com/timescale/pgvectorscale/releases/tag/0.6.0) for details.

### pgai Vectorizer supports models from AWS Bedrock, Azure AI, Google Vertex via LiteLLM

Access embedding models from popular cloud model hubs.

## Agent mode for PopSQL and more

March 7, 2025

✨ New Feature 💡 Improvement

[#](#agent-mode-for-popsql-and-more)

## Agent Mode for PopSQL and more

### Agent mode for PopSQL

SQL Assistant automatically adjusts and executes queries without intervention.

![Timescale SQL Assistant Agent Mode](/docs/_astro/timescale-sql-assistant-agent-mode.D0Pu8NGz.gif)

### Improved AWS marketplace integration

Enhanced AWS Marketplace workflow with full automation and seamless billing integration.

### Tiger Console recommendations

Recommendations based on service context for onboarding and service health.

![Timescale Console recommendations](/docs/_astro/timescale-console-recommendations.DsWDxz1v_qhBzJ.webp)

## Configuration options for secure connections and more

February 28, 2025

🔐 Security 💡 Improvement

[#](#configuration-options-for-secure-connections-and-more)

## Configuration Options for Secure Connections and More

### Edit VPC and AWS Transit Gateway CIDRs

Modify CIDR blocks for VPC or Transit Gateway directly from Tiger Console.

![VPC connection wizard](/docs/_astro/2025-02-27changelog_VPC_transit_gateway.CKv0Ux5r_1MpFy3.webp)

### Improved log filtering

Enhanced Logs screen with Warning and Log filters.

![Logs with filters](/docs/_astro/2025-02-27changelog_log_filtering.DtG4O0-P_1xRbXt.webp)

### TimescaleDB v2.18.2

New services use TimescaleDB v2.18.2 with bug fixes. See the [TimescaleDB v2.18.2 release notes](https://github.com/timescale/timescaledb/releases/tag/2.18.2) for details.

### SQL assistant improvements

Support for Claude 3.7 Sonnet with extended thinking and ability to abort requests.

## SQL assistant improvements and pgai docs reorganization

February 21, 2025

💡 Improvement 🔌 Integration

[#](#sql-assistant-improvements-and-pgai-docs-reorganization)

## SQL Assistant Improvements and Pgai Docs Reorganization

### New models and improved UX for SQL assistant

Added fireworks.ai and Groq as providers with new LLM options and improved model picker with descriptions.

![Timescale Cloud SQL Assistant AI model picker](/docs/_astro/sql-assistant-ai-models.BaBBXzWO_Z2lfPS6.webp)

### Updated and reorganized docs for pgai

Improved GitHub docs with grouped sections and comprehensive summary. See the updated docs on [GitHub](https://github.com/timescale/pgai/tree/main/docs).

## TimescaleDB v2.18.1 and AWS Transit Gateway support generally available

February 14, 2025

🎉 GA 🏎️ Performance

[#](#timescaledb-v2-18-1-and-aws-transit-gateway-support-generally-available)

## TimescaleDB v2.18.1 and AWS Transit Gateway Support Generally Available

### TimescaleDB v2.18.1

New services use [TimescaleDB v2.18.1](https://github.com/timescale/timescaledb/releases/tag/2.18.1) with faster columnar scans and improved constraint handling.

### AWS Transit Gateway support is now generally available!

Securely connect Tiger Cloud to multiple VPCs across different environments.

See the [AWS Transit Gateway documentation](https://docs.timescale.com/use-timescale/latest/security/transit-gateway/) for configuration details.

## TimescaleDB v2.18 and SQL assistant improvements in data mode and PopSQL

February 6, 2025

🏎️ Performance 💡 Improvement

[#](#timescaledb-v2-18-and-sql-assistant-improvements-in-data-mode-and-popsql)

## TimescaleDB v2.18 and SQL Assistant Improvements in Data Mode and PopSQL

### TimescaleDB v2.18

- Dense indexes in columnstore through new hypercore table access method
- SIMD vectorization improvements for aggregations
- Hypertables support triggers for transition tables
- Updated methods to manage hybrid row-columnar store

For more information, see the [TimescaleDB v2.18 release notes](https://github.com/timescale/timescaledb/releases/tag/2.18.0).

### SQL assistant improvements

- Dedicated conversation threads for queries
- Ability to delete messages from threads
- Support for OpenAI o3-mini

![Dedicated threads](/docs/_astro/timescale-cloud-sql-assistant-threads.CBjxZ3w9.gif)![Delete messages in SQL Assistant threads](/docs/_astro/timescale-cloud-sql-assistant-delete-messages.BhbqUED1_Z1fUI2T.webp)![SQL Assistant o3 mini](/docs/_astro/timescale-cloud-sql-assistant-o3-mini.BSPDngYm_mfyxb.webp)

## IP allowlists in data mode and PopSQL

January 31, 2025

🔐 Security

[#](#ip-allowlists-in-data-mode-and-popsql)

## IP Allowlists in Data Mode and PopSQL

### Now available

IP allowlists now available in Tiger Console data mode and PopSQL for enhanced network security. For background and configuration examples, see the [IP allow list documentation](https://docs.timescale.com/use-timescale/latest/security/ip-allow-list/).

![Timescale Console data mode IP allowlist](/docs/_astro/timescale-data-mode-ip-allowlist.CqqN3cJD_Z12MDTd.webp)

## pgai extension and Python library updates

January 24, 2025

🔌 Integration ✨ New Feature

[#](#pgai-extension-and-python-library-updates)

## pgai Extension and Python Library Updates

### pgai PostgreSQL extension 0.7.0

Added configurable base\_url support for OpenAI API, public granting of vectorizers, and improved Ollama client. See all changes in the [pgai extension 0.7.0 release](https://github.com/timescale/pgai/releases/tag/extension-0.7.0).

### pgai Python library 0.5.0

Comprehensive SQLAlchemy and Alembic support for vector embeddings. See all changes in the [pgai Python library v0.5.0 release](https://github.com/timescale/pgai/releases/tag/pgai-v0.5.0).

## AWS Transit Gateway support

January 17, 2025

🧪 Beta 🔐 Security

[#](#aws-transit-gateway-support)

## AWS Transit Gateway Support

### AWS Transit Gateway support (Early access)

Connect to Tiger Cloud services through AWS Transit Gateway for Scale and Enterprise customers.

## New region in India, PostgreSQL 17 upgrades, and TimescaleDB on AWS marketplace

January 10, 2025

🌍 Availability ✨ New Feature

[#](#new-region-in-india-c-pg-17-upgrades-and-timescaledb-on-aws-marketplace)

## New region in India, PostgreSQL 17 upgrades, and TimescaleDB on AWS Marketplace

### Welcome India! (Mumbai region)

Tiger Cloud now supports the Mumbai region.

### PostgreSQL major version upgrades to PG 17

Services can now upgrade directly to PostgreSQL 17 from versions 14, 15, or 16.

### Tiger Cloud available on AWS marketplace

Centralize billing on AWS account with committed spend via [AWS Marketplace](https://aws.amazon.com/marketplace/seller-profile?id=seller-wbtecrjp3kxpm).

## PostgreSQL 17, feature requests, and PostgreSQL Livesync

December 20, 2024

✨ New Feature 🧪 Beta

[#](#c-pg-17-feature-requests-and-c-pg-livesync)

## PostgreSQL 17, feature requests, and PostgreSQL Livesync

### PostgreSQL 17

All new Tiger Cloud services come with PostgreSQL 17.2 with significant performance improvements and enhanced JSON support.

### Submit feature requests from Tiger Console

Submit feature requests directly from Console with visibility into status.

![Submit a feature request in Timescale Console](/docs/_astro/submit-feature-request.Bzdxh2O8_Z6MM2x.webp)

### PostgreSQL Livesync (Alpha release)

Continuously replicate PostgreSQL tables directly into Tiger Cloud. Learn more in the [Livesync for PostgreSQL documentation](https://docs.timescale.com/migrate/latest/livesync-for-postgresql/).

## In-Console import from S3, I/O boost, and jobs Explorer

December 13, 2024

✨ New Feature 💡 Improvement

[#](#in-console-import-from-s3-i-o-boost-and-jobs-explorer)

## In-Console import from S3, I/O Boost, and Jobs Explorer

### In-Console import from S3 (CSV and Parquet files)

Connect S3 buckets to import CSV and Parquet files with 10 GB size limit.

![Import data into Timescale with S3](/docs/_astro/import-your-data-s3.CDllLX3x_Z2SzjU.webp)![Import data into Timescale with S3 details](/docs/_astro/import-data-s3-details.C0BubIic_Z1fur3G.webp)

### Self-Serve I/O boost

Add-on for Scale or Enterprise tiers maximizing I/O to 16,000 IOPS with $0.41/hour per node.

![Timescale I/O Boost](/docs/_astro/timescale-i-o-boost.DtXyGO_l_Z1lSnnQ.webp)

### Jobs Explorer

New Jobs tab showing all associated jobs with status and detailed history.

![Timescale Console Jobs tab](/docs/_astro/timescale-console-jobs-tab.CHd-dTvi_ZEG7QF.webp)![Timescale Console Jobs tab expanded](/docs/_astro/timescale-console-jobs-expanded.BggmAE-q_2iw98b.webp)

## New service creation flow

December 6, 2024

💡 Improvement

[#](#new-service-creation-flow)

## New service creation flow

### What’s new

- **AI and Vector options:** Choose AI and Vector-ready services with pgai, pgvector, and pgvectorscale

  ![Create Timescale Cloud service](/docs/_astro/create-timescale-service.5lJYjTPf_ZkWlsU.webp)

- **Compute size recommendations:** Recommendations based on planned data volume

  ![Service compute recommendation](/docs/_astro/timescale-service-compute-size.BzqV3evZ_Z1Ufx26.webp)

- **More information about configuration options:** Clearer descriptions for informed choices

## IP allow lists!

November 21, 2024

🔐 Security

[#](#ip-allow-lists)

## IP Allow Lists!

### IP allow lists now available

IP Allow Lists let you specify IP addresses that have access to services and block others. They provide a lightweight alternative to a full [Virtual Private Cloud (VPC)](https://docs.timescale.com/use-timescale/latest/security/vpc/).

To get started, open [Timescale Console](https://console.cloud.tigerdata.com/), then go to **Operations → Security → IP Allow List**. For more details, see the [IP allow list documentation](https://docs.timescale.com/use-timescale/latest/security/ip-allow-list/).

![IP Allow lists](/docs/_astro/IP-Allow-lists.CT150lU1_5YEb5.webp)

## SQL assistant, TimescaleDB v2.17, HIPAA compliance, and better logging

November 14, 2024

✨ New Feature 🔐 Security 💡 Improvement

[#](#sql-assistant-timescaledb-v2-17-hipaa-compliance-and-better-logging)

## SQL Assistant, TimescaleDB v2.17, HIPAA compliance, and better logging

### New AI companion: SQL assistant

Chat with AI models to get help writing SQL, propose fixes for errors, and generate titles/descriptions.

![AI error fix](/docs/_astro/ai-error-fix.CtpBoXeU_Z1KbVJa.webp)![AI generated query title](/docs/_astro/ai-generate-title.W6ui3GGn_Z3CQ9E.webp)

See the [SQL Assistant blog post](https://www.tigerdata.com/blog/postgres-gui-sql-assistant/) and [SQL Assistant docs](https://www.tigerdata.com/docs/getting-started/latest/run-queries-from-console/#sql-assistant) for full details.

### TimescaleDB v2.17

Significant performance improvements for continuous aggregate refreshes and analytical queries. For details, see the [TimescaleDB v2.17 release notes](https://github.com/timescale/timescaledb/releases/tag/2.17.0).

### HIPAA compliance

Tiger Cloud’s Enterprise plan is now HIPAA compliant.

### Expanded logging within Tiger Console

Access more than 500 logs with infinite scrolling capabilities.

![Expanded console logs](/docs/_astro/console-expanded-logs.K0pBlxbN.gif)

## Connect to Tiger Cloud from .NET stack and check status of recent jobs

November 7, 2024

🔌 Integration 💡 Improvement

[#](#connect-to-tiger-cloud-from-net-stack-and-check-status-of-recent-jobs)

## Connect to Tiger Cloud from .NET Stack and check status of recent jobs

### Connect with your .NET stack

Added instructions for connecting using Npgsql for .NET workflows.

![.NET instructions](/docs/_astro/connect-via-net.CgKjpO8m_ZqMyyL.webp)

### Last 5 jobs status

See status of last 5 runs of each job in the Jobs section.

![job status](/docs/_astro/explorer-job-list.B5vckOX0_Z1mVg3I.webp)

## New AI, data integration, and performance enhancements

October 31, 2024

✨ New Feature 🏎️ Performance

[#](#new-ai-data-integration-and-performance-enhancements)

## New AI, data integration, and performance enhancements

### Pgai Vectorizer (early access)

Automatically create, update, and maintain embeddings as data changes. For more details, see the [pgai Vectorizer guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer/overview.md).

![Vectorizer setup](/docs/_astro/vectorizer-setup.BWMriB7K_Z1NxG2C.webp)

### PostgreSQL-to-PostgreSQL foreign data wrappers

Fetch and query data from multiple PostgreSQL databases directly using [foreign data wrappers (FDW)](https://docs.timescale.com/use-timescale/latest/schema-management/foreign-data-wrappers/).

### Faster queries over tiered data

Support for runtime chunk exclusion for [tiered storage](https://docs.timescale.com/use-timescale/latest/data-tiering/). For background, see the blog post on [implementing constraint exclusion for faster query performance](https://www.tigerdata.com/blog/implementing-constraint-exclusion-for-faster-query-performance), and the [`disable_tiering` function docs](https://docs.timescale.com/use-timescale/latest/data-tiering/enabling-data-tiering/#disable-tiering).

### Chunk interval recommendations

Console shows recommendations for services with too many small chunks.

![Chunk interval recommendation](/docs/_astro/chunk-interval-recommendation.Dekuccb3_Z25mYFM.webp)

## Help with hypertables and faster notebooks

October 18, 2024

💡 Improvement

[#](#help-with-hypertables-and-faster-notebooks)

## Help with hypertables and faster notebooks

### Hypertable creation wizard

Create hypertable directly in Tiger Console after service creation.

![Hypertable creation wizard: image 1](/docs/_astro/hypertable-creation-wizard-1.D7xMmkCw_diqNv.webp)

### PopSQL Notebooks

Newly developed v3 query engine provides significantly faster query response times.

## Production-Ready low-Downtime migrations, MySQL import, actions tab, and current lock contention visibility in SQL editor

October 10, 2024

🎉 GA ✨ New Feature

[#](#production-ready-low-downtime-migrations-mysql-import-actions-tab-and-current-lock-contention-visibility-in-sql-editor)

## Production-Ready Low-Downtime Migrations, MySQL Import, Actions Tab, and Current Lock Contention Visibility in SQL Editor

### Live migrations v1.0 release

Live migration is production-ready with enhanced functionality and performance optimizations.

### Actions tab

Actions persisted within service for on-demand access to connect, import, and migrate.

![Timescale Console Actions tab](/docs/_astro/timescale-console-actions-tab.CmtRJ_mG_Z1KvVkC.webp)

### Import data from MySQL

Easy-to-follow instructions for converting MySQL schema and data.

![MySQL import instructions](/docs/_astro/mysql-import-instructions.DP8VxQwC_Z1s04Bo.webp)

### Current lock contention

Console displays current lock contention when queries wait on locks.

![View console services](/docs/_astro/current-lock-contention.DDhJVEA8_ZJwJ0w.webp)

## CIDR & VPC updates

October 3, 2024

🔐 Security

[#](#cidr-vpc-updates)

## CIDR & VPC Updates

### Multiple CIDRs supported

Timescale now supports multiple CIDRs on customer VPC.

## New modes in Tiger Console: ops and data mode, and Console based Parquet file import

September 19, 2024

✨ New Feature

[#](#new-modes-in-tiger-console-ops-and-data-mode-and-console-based-parquet-file-import)

## New modes in Tiger Console: Ops and Data mode, and Console based Parquet File Import

### Ops and data mode

**Ops mode:** Manage services, add replicas, configure compression, change parameters.

**Data mode:** Full PopSQL experience with queries, visualizations, dashboards, and sharing.

![Timescale Console Ops and Data mode](/docs/_astro/ops-data-mode.Dy4Pr2x_.gif)

### Console based Parquet file import

Upload Parquet files from local file system.

![Upload from Parquet to Timescale Cloud](/docs/_astro/upload_parquet.DNlrGNcR.gif)

## High availability, usability, and migrations improvements

September 12, 2024

✨ New Feature 💡 Improvement

[#](#high-availability-usability-and-migrations-improvements)

## High availability, usability, and migrations improvements

### Multiple HA replicas

Scale and Enterprise customers can configure two new HA replica options. For more information, see [Manage high availability](https://docs.timescale.com/use-timescale/latest/ha-replicas/high-availability/).

![Change Replica Configuration](/docs/_astro/change-replica-configuration.DPnJ1ewF_ZSBWGt.webp)![High Availability](/docs/_astro/high-availability.CYb7tdCG_EL7KS.webp)

### Other improvements

Session health indicator in Console SQL editor shows connection status.

![Session Status Indicator](/docs/_astro/session-status-indicator.D1S-s987.gif)

## One-click SQL statement execution from Tiger Console, and session support in the SQL editor

September 5, 2024

✨ New Feature

[#](#one-click-sql-statement-execution-from-tiger-console-and-session-support-in-the-sql-editor)

## One-click SQL statement execution from Tiger Console, and session support in the SQL editor

### One-click SQL execution

Execute SQL statements with one click throughout Console for hypertables, extensions, and CSV imports. This requires that the [SQL editor](https://docs.timescale.com/getting-started/latest/run-queries-from-console/#sql-editor) is enabled for the service.

![Enable Continuous Aggregates](/docs/_astro/enable-continuous-aggregates.BhHoS7mw.gif)![Enable extensions from Console](/docs/_astro/enable-extensions-from-console.CnSK6N20.gif)![Query data after CSV import](/docs/_astro/query-data-after-csv-import.BfFPh6HW.gif)

### Session support in the SQL editor

Database session persistence enables transactions, temporary tables, and set commands.

## Query your database directly from the Console and enhanced data import and migration options

August 30, 2024

✨ New Feature 💡 Improvement

[#](#query-your-database-directly-from-the-console-and-enhanced-data-import-and-migration-options)

## Query your database directly from the Console and enhanced data import and migration options

### SQL editor in Tiger Console

New tab allowing direct database queries without leaving console.

![SQL Editor](/docs/_astro/sql-editor-query.BjuXrhAw_12iuNl.webp)

### Enhanced data import options

Dedicated section with multiple import options and enhanced PostgreSQL import instructions.

![Data import screen](/docs/_astro/data-import-screen.DBNiUJ5Q_Z1FAcWU.webp)

### Improvements to live migration

Support for timescaledb on non-public schema and pre-migration compatibility checks.

## Improved tooling in Tiger Cloud and new AI and vector extension releases

August 22, 2024

✨ New Feature 🔌 Integration

[#](#improved-tooling-in-tiger-cloud-and-new-ai-and-vector-extension-releases)

## Improved tooling in Tiger Cloud and new AI and Vector extension releases

### CSV import

Added CSV import tool with data type selection and hypertable creation.

![CSV import](/docs/_astro/csv-import.CZA8AOX1_x3qWm.webp)

### Replica lag

New Replica Lag parameter shows bytes behind primary for replicas.

![Replica lag indicator](/docs/_astro/replica-lag-indicator.DF2ZWmx3_ZUcdD1.webp)

### Adjust chunk interval

Change chunk interval for hypertables and continuous aggregates through UI.

![Edit chunk interval](/docs/_astro/edit-chunk-interval.X8SnpGcq_Zj7Dmy.webp)

### CloudWatch permissions via role assumption

Permission granting via role assumption for CloudWatch integration. For more details, see the CloudWatch integration documentation at <https://docs.timescale.com/use-timescale/latest/integrations/>.

### Two-factor authentication (2FA) indicator

2FA status column on Members page.

![2FA status](/docs/_astro/2FA-status-indicator.CnSypf3U_2hHQt1.webp)

### Anthropic and Cohere integrations in pgai

pgai extension v0.3.0 supports Anthropic and Cohere models. For details and examples, see the blog posts on pgai with Cohere at <https://www.tigerdata.com/blog/build-search-and-rag-systems-on-postgresql-using-cohere-and-pgai> and pgai with Anthropic at <https://www.tigerdata.com/blog/use-anthropic-claude-sonnet-3-5-in-postgresql-with-pgai>.

### pgvectorscale extension

V0.3.0 adds ARM processor support and improved recall for low dimensional vectors. See the pgvectorscale v0.3.0 release notes at <https://github.com/timescale/pgvectorscale/releases/tag/0.3.0>.

## Optimizations for compressed data and extended join support in continuous aggregates

August 15, 2024

🏎️ Performance

[#](#optimizations-for-compressed-data-and-extended-join-support-in-continuous-aggregates)

## Optimizations for compressed data and extended join support in continuous aggregates

### TimescaleDB v2.16.0

Significant performance improvements for DML over compressed chunks, chunk skipping on non-partitioning columns, foreign key support, and extended continuous aggregate join support.

## Performance, packaging and stability improvements for Tiger Cloud

August 8, 2024

💡 Improvement

[#](#performance-packaging-and-stability-improvements-for-tiger-cloud)

## Performance, packaging and stability improvements for Tiger Cloud

### New plans

Three new plans: Performance (cost-focused), Scale (critical apps), and Enterprise (mission-critical). For details on features and differences, see the pricing and account management docs at <https://docs.timescale.com/about/latest/pricing-and-account-management/>.

### Improvements to the Tiger Console

Enhanced service tiles with HA status information.

### Live migration release v0.0.24

Automatic retries, pgcopydb support for initial copy, and TimescaleDB v2.13.x support.

## Performance and stability improvements for Tiger Cloud and TimescaleDB

July 12, 2024

🏎️ Performance 🐛 Bug Fix

[#](#performance-and-stability-improvements-for-tiger-cloud-and-timescaledb)

## Performance and stability improvements for Tiger Cloud and TimescaleDB

### Improvements in this release

- Connection pooler improvements
- tsdbadmin user role enhancements
- TimescaleDB v2.15.3 and v2.15.2 patch releases with multiple improvements. For more information, see the [2.15.3 release note](https://github.com/timescale/timescaledb/releases/tag/2.15.3) and the [2.15.2 release note](https://github.com/timescale/timescaledb/releases/tag/2.15.2).

## Performance improvements for live migration to Tiger Cloud

June 27, 2024

🏎️ Performance

[#](#performance-improvements-for-live-migration-to-tiger-cloud)

## Performance improvements for live migration to Tiger Cloud

### Live migration updates

The Timescale live-migration Docker image now supports table-based filtering during live migration, improvements to `pbcopydb` (including better performance and removal of unhelpful warnings), and a user notification log to help you always select the most recent release for a migration run.

For improved stability and new features, update to the latest `timescale/live-migration` image on Docker Hub: <https://hub.docker.com/r/timescale/live-migration/tags>. To learn more, see the live migration docs at <https://docs.timescale.com/migrate/latest/live-migration/>.

## Ollama integration in pgai

June 21, 2024

🔌 Integration

[#](#ollama-integration-in-pgai)

## Ollama integration in pgai

### Ollama now available

Ollama is now integrated with the pgai extension, making it easy to work with open-source language models such as Llama 3, Mistral, Phi 3, and Gemma. Ollama acts like “Docker for LLMs,” providing a simple way to run and manage models locally.

With pgai installed in your database, you can embed Ollama-powered AI directly into your app using SQL, for example, by generating completions or working with images in a single query.

To learn more and see a quick-start example, see the pgai Ollama documentation at <https://github.com/timescale/pgai/blob/main/docs/vectorizer/quick-start.md>.

## Compression wizard

June 13, 2024

✨ New Feature

[#](#compression-wizard)

## Compression Wizard

### Now available in Console

The compression wizard is now available in Timescale Console. From the Explorer, select a hypertable and, in the top-right corner, hover where it says “Compression off” to open the wizard. You’ll be guided through configuring compression for the hypertable and can enable it directly from the UI.

![Run the compression wizard in Timescale Console](/docs/_astro/compress-data-in-console.cGL8pcZZ_Z1nXNy3.webp)

## High performance AI apps with pgvectorscale

June 11, 2024

✨ New Feature 🏎️ Performance

[#](#high-performance-ai-apps-with-pgvectorscale)

## High Performance AI Apps With pgvectorscale

### pgvectorscale on Tiger Cloud

The pgvectorscale extension is now available on Timescale Cloud. It complements pgvector and introduces:

- A new index type, StreamingDiskANN, inspired by Microsoft’s DiskANN algorithm.
- Statistical Binary Quantization, a compression method developed by Timescale researchers that improves on standard binary quantization.

On a benchmark dataset of 50 million Cohere embeddings (768 dimensions), PostgreSQL with pgvector and pgvectorscale achieves dramatically lower p95 latency and higher query throughput than Pinecone’s storage-optimized index at comparable recall, while running at significantly lower cost on self-hosted AWS EC2.

For more, see the pgvectorscale documentation at <https://github.com/timescale/pgvectorscale/>.

## Integrate AI into your database using pgai

June 11, 2024

✨ New Feature 🔌 Integration

[#](#integrate-ai-into-your-database-using-pgai)

## Integrate AI Into Your Database Using pgai

### pgai on Tiger Cloud

The pgai extension is now available on Timescale Cloud, bringing embedding and generative AI models closer to your database. With pgai you can:

- Create embeddings for your data directly from SQL.
- Retrieve LLM chat completions from models like OpenAI GPT‑4o.
- Run classification, summarization, enrichment, and other AI-powered workloads over existing relational data in PostgreSQL.

For an overview, see the pgai documentation at <https://github.com/timescale/pgai>.

## Continuous aggregate and hypertable improvements for TimescaleDB

June 7, 2024

🏎️ Performance 💡 Improvement

[#](#continuous-aggregate-and-hypertable-improvements-for-timescaledb)

## Continuous Aggregate and Hypertable Improvements for TimescaleDB

### TimescaleDB v2.15.x

- Continuous Aggregate supports time\_bucket with origin and/or offset
- Compression improvements with optimized defaults and planner enhancements

These releases also add planner improvements to inspect more WHERE conditions before decompression (reducing the number of rows that must be decompressed), allow minmax sparse indexes to be used when compressing columns with btree indexes, and introduce vectorized filters in WHERE clauses containing text equality operators and LIKE expressions.

For more details, see the TimescaleDB release notes at <https://github.com/timescale/timescaledb/releases>.

## Database audit logging with pgaudit

May 31, 2024

🔐 Security

[#](#database-audit-logging-with-pgaudit)

## Database Audit Logging with pgaudit

### pgaudit now available

PostgreSQL Audit extension (pgaudit) now available on Tiger Cloud for detailed session and object audit logging. See the [PG Audit extension (pgaudit)](https://github.com/pgaudit/pgaudit/) and [pgaudit documentation](https://github.com/pgaudit/pgaudit/) for more information.

## International system of unit support with postgresql-unit

May 31, 2024

✨ New Feature

[#](#international-system-of-unit-support-with-postgresql-unit)

## International System of Unit Support with postgresql-unit

### postgresql-unit extension

The [SI Units for PG extension(unit)](https://github.com/df7cb/postgresql-unit) provides support for the [ISU](https://en.wikipedia.org/wiki/International_System_of_Units) in Timescale Cloud.

You can use Timescale Cloud to solve day-to-day questions. For example, to see what 50°C is in °F, run the following query in your Timescale Cloud service:

```
SELECT '50°C'::unit @ '°F' as temp;
  temp
--------
 122 °F
(1 row)
```

To learn more, see the [postgresql-unit documentation](https://github.com/df7cb/postgresql-unit).