Analyze time-series data with a query language your developers, business analysts, and DBAs already know how to use.
Consolidate your time-series data with the relational metadata that gives it meaning.
Leverage best-of-breed technologies for your stack. If they work with PostgreSQL, they work with TimescaleDB.
TimescaleDB automatically partitions data into time-based chunks to support faster performance at scale. Users interact with a single table that transparently manages chunks.
We modified the PostgreSQL insert path, execution engine, and query planner to intelligently process queries across chunks. We continue to leverage PostgreSQL’s battle-tested storage layer for the reliability you need to support mission critical workloads.
TimescaleDB is architected for time-series and supports efficient data lifecycle management operations including data retention and archival policies. TimescaleDB also comes with time-series specific analytical functions for easier data manipulation.
Have time-series data? Let's chat.
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