timescale/timescaledb
Some data may be outdated — see provenance labels.
A time-series database for high-performance real-time analytics packaged as a Postgres extension observed · 2026-10-01
Health v2 · maintenance only
98/100
- Activity 97
- Release rhythm 97
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 13
- age_days: 3514
- days_rel: 21
- days_push: 20
- n_releases_24m: 44
Adoption not part of the score
23629 stars · 1165 forks observed · 2026-10-01
What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-12, confidence 0.97
TimescaleDB is an open-source PostgreSQL extension that adds native time‑series capabilities and high‑performance analytics. It provides automatic partitioning, compression, and hybrid row‑columnar storage for massive data volumes.
Use cases
- store and query IoT sensor data at scale
- run real‑time analytics on financial tick data
- monitor and analyze server metrics and logs
- perform time‑series forecasting and anomaly detection
- manage large event streams for smart manufacturing
When to choose
- You need a relational database with built‑in time‑series functions.
- Your workload requires high ingest rates combined with fast analytical queries.
- You want to leverage existing PostgreSQL tools, extensions, and ecosystem.
When to avoid
- Your use case is purely key‑value or document storage without relational queries.
- You need a NoSQL database with flexible schema for unstructured data.
- You require a fully managed cloud service without self‑hosting responsibilities.
Facets
library · maturity active
database search-engine vector-database databases time-series analytics windows cloud self-hosted time-series hypertable columnstore postgres-extension real-time-analytics data-engineering linux macos docker
10 sources
- readme: https://github.com/timescale/timescaledb · fetched 2026-10-01 · d3d8df08a30f
- homepage: https://www.tigerdata.com/ · fetched 2026-09-28 · 99cff41172b0
- site_page: https://www.tigerdata.com/docs · fetched 2026-09-28 · df43ec6441e0
- site_page: https://www.tigerdata.com/docs/about/latest/changelog · fetched 2026-09-28 · b43357aa7825
- site_page: https://www.tigerdata.com/docs/integrations/latest · fetched 2026-09-28 · d5b86643be34
- site_page: https://www.tigerdata.com/about · fetched 2026-09-28 · 664686f5f243
- site_page: https://www.tigerdata.com/docs/use-timescale/latest/hypertables · fetched 2026-09-28 · 82a8092dc6ec
- site_page: https://www.tigerdata.com/docs/use-timescale/latest/hypercore · fetched 2026-09-28 · 25b8c4e72b07
- site_page: https://www.tigerdata.com/docs/use-timescale/latest/data-tiering/about-data-tiering · fetched 2026-09-28 · 12c1a9cd95da
- site_page: https://www.tigerdata.com/pricing · fetched 2026-09-28 · 99a9b1795501
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| timescale/timescaledb | main | 98 |
For agents
markdown · JSON · MCP: product_card(name="timescale/timescaledb")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem