#7272nd of 173 in Backends, databases and hosting

timescaledb

PostgreSQL extension for time-series and event data with columnar storage

Stars
23.9k
License
custom license
Last commit
Nov 2026
Last release
Nov 2026
Language
C

Missed the latest GitHub check; these facts may be older.

Overview

TimescaleDB adds hypertables to PostgreSQL, which partition data into time-based chunks, plus a columnstore that accepts direct inserts for analytical queries. It also provides incrementally refreshed continuous aggregates, time_bucket(), and SkipScan for DISTINCT ON queries. It is used through standard SQL and any PostgreSQL client.

Who it is for: Engineers storing metrics, IoT or event data in PostgreSQL

Strengths

  • Runs inside PostgreSQL, so existing SQL, clients and extensions keep working
  • Continuous aggregates refresh incrementally, unlike plain materialized views
  • Columnstore compression, README cites 90%+ typical, with direct insert into columnar format
  • Quickstart includes a local start script and worked examples with sample datasets

Weaknesses

  • Not an AI project; it is a general time-series database extension
  • License is detected as NOASSERTION; check the license terms before commercial use
  • Some features, such as tiering to S3, are described under hosted Tiger Cloud
  • One-line install script is for local development only, not production

What it needs

  • RAM ≥ 8 GB
  • no GPU
  • Needs PostgreSQL, Docker (quickstart), psql

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