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TimescaleDB

TimescaleDB is an open-source PostgreSQL extension designed for running real-time analytics on time-series data.

  • Databases
  • Network Services
  • Productivity
  • Tools & Utilities
TimescaleDB is an open-source PostgreSQL extension designed for running real-time analytics on time-series data. It is engineered up from PostgreSQL and maintains full SQL support. The lighter-weight TimescaleDB non-ha image uses Alpine TimescaleDB is pre-created in the default PostgreSQL database. By default, TimescaleDB is added to any new database you create. Configuration Parameters POSTGRES_PASSWORD - superuser password. Default user and password are both "postgres". Database Storage Path (Appdata) - the directory where TimescaleDB stores its application data and configuration files. TimescaleDB access port - the listening port the database server accepts TCP/IP connections.

Platform availability

Available on 2 of 9 platforms

  • Unraid
  • TrueNAS (not listed)
  • Umbrel (not listed)
  • ZimaOS (not listed)
  • Proxmox (not listed)
  • Helm
  • Mac (not listed)
  • Windows (not listed)
  • Linux (not listed)

Health score?A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). When the source code has been checked, a fifth factor, security check (20%: automated scan for committed secrets, unsafe desktop-app settings, known-vulnerable dependencies and project hygiene; any serious finding caps it at 20), is added. Factors without data are left out and the rest are rescaled.

67/100 Good

Maintained
100last commit 9 days ago
Popular
8723,652 GitHub stars
Easy to install
302 install platforms, Docker image
Light to run
602 GB minimum RAM, runs on ARM
Security check
201 serious finding, 3 minor, CI, tests, OpenSSF Scorecard 4.6/10

Availability: platform listings confirmed today, links checked 16 days ago

GitHub stars
23,652
Open issues
426
Last commit
2026-10-06
Latest release
2.30.2
Activity
steady

Checked 9 days ago - source: GitHub (timescale/timescaledb)

Resources & Compatibility

Minimum requirements: 2 GB RAM, 2 CPU core(s), 10 GB disk. ARM (e.g. Raspberry Pi) is supported.

Checked 16 days ago - source: Docker Hub image tags and published docs

First-install notes

No first-install notes yet.

Alternatives (4)

  • Datadog - Datadog Agent is an on-host monitoring agent that collects metrics, logs, and traces from hosts, containers, and Kubernetes clusters and se…
  • Graphite Monitoring - Graphite is a highly scalable real-time graphing system.
  • VictoriaMetrics - Cost-effective easy to use monitoring solution and time series database.
  • questdb - QuestDB is an open-source database designed to make time-series lightning fast and easy.

Checked 14 days ago - source: AlternativeTo

Common questions

What backup practices should I implement for a production self-hosted TimescaleDB instance?

The docs recommend incremental backups, database snapshots, and efficient point-in-time recovery, with many of these achievable using PostgreSQL tooling.

What TimescaleDB limitation should I consider when designing an event-data schema?

The source notes that TimescaleDB has foreign-key limitations that should influence schema design for event data.

Can TimescaleDB manage data retention?

A community thread describes TimescaleDB as solving common PostgreSQL operational problems through data retention management.

How does TimescaleDB compare to NoSQL databases for time-based logs?

A thread compares their speed and scalability for storing and parsing time-based logs and mentions performance concerns as log volumes grow.

Answers sourced from docs.timescale.com, www.reddit.com, www.reddit.com, www.reddit.com

Community

Collected 16 days ago - public community threads