--- title: "What's New in Tiger Cloud: Faster Performance, Easier Workflows, Simpler Adoption" published: 2026-03-16T14:07:05.000-04:00 updated: 2026-03-16T14:07:05.000-04:00 excerpt: "Tiger Cloud's latest updates: 289x faster queries on compressed data, Postgres 18 by default, Azure Marketplace signup, Tiered Storage on Azure, and a new SQL editor." tags: Announcements & Releases, Tiger Cloud authors: Naveen Sukumar --- > **TimescaleDB is now Tiger Data.** **TL;DR:** Over the last few months, we shipped a lot. TimescaleDB 2.25 brings up to 289x faster queries on compressed data. Postgres 18 is now the default. Full-text search got dramatically faster and leaner. Azure customers get Tiered Storage and self-serve Marketplace signup. Tiger Console has a new floating SQL editor, a jobs timeline view, and built-in CLI/MCP setup. And Terraform now manages S3 source connectors. Here is everything, and why it matters. * * * It has been a busy start to 2026 at Tiger Data. We have shipped improvements across every layer of Tiger Cloud: from deep query engine optimizations in TimescaleDB to new cloud regions, Azure feature parity, and developer experience upgrades in Tiger Console. Rather than cover each release in isolation, this post groups everything into four themes so you can see the bigger picture: _Tiger Cloud is getting faster at the core, reaching more customers where they are, making day-to-day work smoother, and becoming easier to manage programmatically_. ## Performance and scalability ### TimescaleDB 2.25 is now on Tiger Cloud TimescaleDB 2.25 landed on Tiger Cloud on March 5, and it is a significant release for anyone running analytical queries on compressed data. **Fast queries on compressed data, without the tradeoffs:** The headline feature is a new `ColumnarIndexScan` execution path that uses columnar metadata to accelerate common aggregate functions. Instead of scanning individual rows or decompressing batches, queries using `MIN`, `MAX`, `FIRST`, or `LAST` on compressed data can now resolve directly from chunk-level summaries. In internal testing, this class of queries ran up to 289x faster. Similarly, `COUNT(*)` with time filters can skip reading the time column entirely, with speedups of up to 50x in tested workloads. The feature is currently opt-in via the `enable_columnarindexscan` GUC and will be on by default in 2.26. **Continuous Aggregates (i.e. incremental materialized views in TimescaleDB) also got more efficient.** Direct compress on refresh (experimental feature, opt-in via GUC `timescaledb.enable_direct_compress_on_cagg_refresh`) now writes results straight to the columnstore, skipping the intermediate rowstore step that could cause policy contention and extra WAL activity.  The "direct batch delete" optimization (which deletes whole batches on the columnstore instead of row-by-row) was previously disabled for tables with Continuous Aggregates because it didn't emit the necessary invalidation logs. This is now fully supported, meaning **columnstore hypertables with Continuous Aggregates will benefit from much faster, lower-I/O deletes**, keeping refresh transactions smaller and steadier. On the operational side, 2.25 adds **the ability to estimate original size for columnstore chunks** (useful for billing and Console reporting), an option to auto-add new chunks to a publication for logical replication, and configurable `work_mem` for background worker jobs. Example: ```SQL SELECT _timescaledb_functions.estimate_uncompressed_size('.'); ``` For the full architectural context on why these changes matter, read the [TimescaleDB 2.25 release notes](https://github.com/timescale/timescaledb/releases) and our related blog post, [Start on Postgres, Scale on Postgres](https://www.tigerdata.com/blog/start-on-postgres-scale-on-postgres). ### Postgres 18 support Tiger Cloud now runs Postgres 18 by default for all new services. Existing services can upgrade over the coming weeks. Postgres 18 is a meaningful release. Asynchronous I/O with `io_uring` on Linux significantly **_speeds up read-heavy workloads_**. Major upgrades are faster and less disruptive thanks to improved `pg_upgrade` and the ability to preserve planner statistics across versions. Virtual generated columns are now the default, and the new `uuidv7()` function improves UUID indexing behavior. Query performance gets a boost from expanded index usage, including skip-scan on multicolumn B-tree indexes, and parallel GIN index builds. On the security side, OAuth 2.0 authentication and page checksums enabled by default round out the release. For more, see the [official Postgres 18 announcement](https://www.postgresql.org/about/news/postgresql-18-released-3142/). ### pg\_textsearch gets faster and leaner `pg_textsearch` has seen three releases on Tiger Cloud _as it moves toward GA_, and the cumulative improvements are substantial. **v0.3.0** introduced the Block MAX-WAND algorithm for ranked keyword search. Query performance is now competitive with the fastest Postgres-based search solutions, including ParadeDB. **v0.4.0** added posting-list compression, shrinking index sizes by 40% or more. In many cases, `pg_textsearch` indexes are now smaller than ParadeDB equivalents. This release also includes stability improvements for indexes on tables with large partition counts. **v0.5.0** brings parallel index builds, so `CREATE INDEX` now uses multiple workers for faster indexing of large tables, along with improvements for BM25 indexes on hypertables and additional stability fixes. 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) | [Optimize full text search with BM25](https://www.tigerdata.com/docs/use-timescale/latest/extensions/pg-textsearch) ## Platform reach and enterprise access ### Azure Marketplace automation Microsoft customers can now sign up for Tiger Cloud through Azure Marketplace with fully self-serve procurement and consolidated billing. Previously, this required manual intervention from our team. Now you can find Tiger Cloud under both [annual commit](https://marketplace.microsoft.com/en-us/product/timescale1759504210261.tigerdata-annualcommit?tab=Overview) and [pay as you go](https://marketplace.microsoft.com/en-us/product/timescale1759504210261.tigerdata-payg?tab=Overview) pricing options and get started immediately. ### Tiered Storage on Microsoft Azure [Tiered Storage](https://www.tigerdata.com/docs/use-timescale/latest/data-tiering/about-data-tiering) is now available for Tiger Cloud services running on Azure. You can automatically move rarely accessed data to low-cost Azure Blob Storage while continuing to query it with standard SQL. The experience mirrors what Tiger Cloud AWS customers already have: enable Azure Tiered Storage in Tiger Console, set tiering policies on your hypertables, and Tiger Cloud handles the rest. Customers typically see 2-5x reductions in storage costs depending on compression rates. ### Tiger Cloud in AWS Europe (Zurich) Tiger Cloud is now available in the AWS Europe (Zurich) region, enabling low-latency access for applications with European data residency requirements. For a complete list of available regions, see [available regions](https://www.tigerdata.com/docs/about/latest/supported-platforms#available-regions). To learn more, see [Get started with Tiger Data](https://www.tigerdata.com/docs/getting-started/latest). ## Developer experience ### Floating SQL editor ![](https://storage.ghost.io/c/6b/cb/6bcb39cf-9421-4bd1-9c9d-fa7b6755ba0e/content/images/2026/03/floating-sql-editor-tiger-cloud.png) The SQL editor in Tiger Console is now a floating panel instead of a dedicated tab. It follows you as you navigate around the UI within a service, so you can reference your schema through Explorer while writing queries without switching contexts. This is a small change that makes a real difference in daily workflow. ### Data/Ops view toggle ![](https://storage.ghost.io/c/6b/cb/6bcb39cf-9421-4bd1-9c9d-fa7b6755ba0e/content/images/2026/03/tiger-cloud-view-toggle.png) We brought back the toggle between Ops view and Data view at the service level. You can now switch to Data view from inside an individual service without navigating away. The toggle sits above the top navigation in the UI. ### Timeline view for Jobs ![](https://storage.ghost.io/c/6b/cb/6bcb39cf-9421-4bd1-9c9d-fa7b6755ba0e/content/images/2026/03/tiger-console-jobs-timeline-view.png) The Jobs page now includes a timeline view that shows the status of all recent job runs at a glance. Hover over any run for details, or click into a specific job for the deep dive. This makes it much easier to spot failures, delays, or patterns without scrolling through log tables. See [Monitor your Tiger Cloud services](https://www.tigerdata.com/docs/use-timescale/latest/metrics-logging/monitoring#jobs) for more. ### CLI and MCP walkthrough in Tiger Console Tiger Console now includes a built-in panel that walks you through setting up the [Tiger CLI](https://www.tigerdata.com/docs/getting-started/latest/get-started-devops-as-code) (for managing your project from the terminal) and the [Tiger MCP server](https://www.tigerdata.com/docs/ai/latest/mcp-server) (for adding Tiger Cloud functionality to your AI-assisted development tools). Walkthroughs are available for macOS, Linux, and Windows. Find them in the project view under the **CLI/MCP** tab. ![](https://storage.ghost.io/c/6b/cb/6bcb39cf-9421-4bd1-9c9d-fa7b6755ba0e/content/images/2026/03/cli-mcp-walkthrough-tiger-console.png) ## Infrastructure as Code ### Terraform support for S3 source connectors The Tiger Data (TimescaleDB) Terraform provider now includes a `timescale_connector_s3` resource for full Infrastructure as Code management of S3 source connectors. You can declaratively create, update, and manage connectors that support CSV and Parquet files, multiple auth methods, and configurable sync options alongside the rest of your TimescaleDB infrastructure. Available in [Terraform provider v2.7.0+](https://registry.terraform.io/providers/timescale/timescale/latest). ## Try Tiger Cloud for free All of these features are live on Tiger Cloud. If you are already a customer, check out TimescaleDB 2.25 on your compressed hypertables, try the new floating SQL editor, or explore the Jobs timeline view. If you are new to Tiger Cloud, [start a free trial](https://console.cloud.timescale.com/signup) and see what a purpose-built Postgres cloud looks like.