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PostgreSQL for time series

Make decisions faster from relentless streams of time series data with a purpose built, cloud-native time series database.

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Build faster with a PostgreSQL database purpose-built for time series

Scale PostgreSQL for time series, events, and analytics with Tiger Data’s automatic time-based partitioning and indexing, incrementally-updated materialized views, columnar compression, and time series hyperfunctions.
Build faster with a PostgreSQL database purpose-built for time series

Supercharge your PostgreSQL performance

Get 10-100x faster time series queries than vanilla PostgreSQL, InfluxDB, and MongoDB with automatic time-based partitioning and indexing. Give your users answers in milliseconds, not minutes with Tiger Data's continuous aggregates.
Supercharge your PostgreSQL performance

TimescaleDB’s continuous aggregations changed our dashboards from sluggish to lightning fast. It used to take minutes to run some long-term data queries. Now, almost all queries for long-term data are sub-second

Jon Eskilsson, Software Architect at Edeva

Scale PostgreSQL further without breaking the bank

Get 90+% storage savings via columnar compression. Seamlessly tier data into consumption-based object storage, while still querying tiered data in SQL. Flexible vertical scaling with independent compute and storage plans. Powerful horizontal scaling with multi-node deployments. Bottomless object storage on Amazon S3.
Scale PostgreSQL further without breaking the bank

Leverage the PostgreSQL ecosystem you know and love

Every Tiger Data database comes equipped with PostgreSQL and TimescaleDB, the PostgreSQL extension for time series. Leverage the entire PostgreSQL ecosystem of extensions, tools, and connectors. If it works with PostgreSQL, it works with Tiger Data. Keep using all the PostgreSQL features you love: data types, index types, CTEs, UDFs and more. 100% SQL. No learning curve.
Leverage the PostgreSQL ecosystem you know and love

Since TimescaleDB is an extension to PostgreSQL and immediately integrates with existing tools including PostGIS, it was a very painless integration for our engineering team.

Luke Smith, Technical Architect at Urban Observatory
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