Timescale

Time-series superpowers for Postgres

Databases / Data · Open-Core · 23.7k

Reviewed 2026-08-19 · last push 2026-10-20 · repo checked 2026-10-21

What's Good

Full Postgres compatibility means your existing tools work. Automatic partitioning handles time-series data at scale. Continuous aggregates precompute expensive queries. The managed platform handles operations.

The Catch

License first: TimescaleDB is split — the core is Apache-2.0, but features in the tsl directory (compression, continuous aggregates and more) are under the Timescale License (TSL), which is source-available and bars offering TimescaleDB as a database service. Adds complexity to Postgres operations. Some hypertable features have limitations. The learning curve for optimal performance is real.

Verdict

Time-series data without leaving Postgres.

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