Products & Services
Tiger Cloud
A reliable PostgreSQL cloud for your workloads
Support Services
Support options for your use case, infrastructure, and budget
Workloads
Time Series
Lightning-fast ingest and querying on PostgreSQL
Real-Time Analytics
The fastest real-time analytics on PostgreSQL
AI and Vector
Build RAG, search, and Al agents, all on PostgreSQL
Open-Source Extensions and Tools
Time Series and Real-Time Analytics
A reliable PostgreSQL cloud for your workloads
AI and Vector
Security Scanner
Security, reliability, and support for demanding businesses.
Industries That Rely On Us
Featured Articles
Scale PostgreSQL via Partitioning: A Dev’s Intro to Hypertables
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Boosting Postgres INSERT Performance by 2x With UNNEST
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Documentation
TigerData Docs
Learn how to make PostgreSQL faster with our documentation
AI and Vector
Learn how to use PostgreSQL for Al with our documentation
Learn PostgreSQL
Learn PostgreSQL
Learn the PostgreSQL basics and scale your database performance
TigerData Benchmarks
TigerData benchmarks
See how TigerData performs against the competition
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Postgres extended for time-series. Millions of writes, millisecond queries

Hypercore, Continuous Aggregates, and 100+ Hyperfunctions help you store, analyze, and act on time- series data at any scale

Massive ingest, instant queries, 95% less storage

Millions

Rows per second ingest

350x

Faster analytical queries than vanilla postgres

95%

Compression, saving you money

Launch your time-series native Postgres today

From ingest to insight in a heartbeat

TigerData streams millions of rows per second into a hypertable, rolls them up with Continuous Aggregates, and serves real-time queries through a vectorized columnstore—all in standard SQL. No shards to manage, no new query language to learn; just plug Grafana in and watch fresh metrics render in < 100 ms.

562,333 rows/s sustained ingest
350 × faster scans with Hypercore
95% compression & tiered storage

Hypercore

Columnar speed, row simplicity

Continous Aggregates

Dashboards stay real-time

Hyperfunctions

Analytics—pure SQL, no ETL

Auto-compression

Shrink cold chunks by 95% with one command; Storage costs drop, queries stay fast.

Smart retention

Setting a retention policy prunes obsolete rows on schedule—no cronjobs, no batch scripts—keeping hot data lean and cacheable.

Tiered storage

Age old partitions out to cheap object storage without losing SQL access. Same table, lower bill.

Observability ready

Native PromQL adapter and pg-exporter metrics mean TigerData drops into your existing Grafana stack.

High availability

Multi-AZ clusters with synchronous replicas deliver < 30 s failover; nothing new to learn—it’s still Postgres.

Open-source freedom

Apache-2.0 core, cloud when you want convenience. Migrate in either direction with standard pg_dump.

We calculated the compression savings to be about $17 K a month just by using compression

Linktree

Compression and continuous aggregates are working as promised. They reduce costs and increase visibility into our manufacturing facilities.

Titan America

It was a very easy process to set up, so we went with the Timescale Cloud solution, which is helpful because we process a lot of time-series data.

Polimarket