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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

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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

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From ingest to insight in a heartbeat

Tiger Data 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
insight
Hypercore

Columnar speed, row simplicity

Dive into Hypercore docs

Continous Aggregates

Dashboards stay real-time

Create your first continous aggregate

Hyperfunctions

Analytics—pure SQL, no ETL

Browse the function cookbook

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 Tiger Data 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

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.

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 Tiger Cloud solution, which is helpful because we process a lot of time-series data.

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

Polymarket

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