Time-series databases · Tiger Data, Inc. (formerly Timescale)

TimescaleDB

Open-source time-series extension for PostgreSQL, giving full SQL and joins alongside time-series performance.

TimescaleDB is an open-source extension that adds time-series database capabilities to PostgreSQL rather than replacing it, so teams get automatic time-based partitioning ("hypertables"), compression, and continuous aggregates while keeping standard SQL, joins, and the full Postgres ecosystem of tools and drivers. This makes it a common choice for teams that already run Postgres and need to add metrics, IoT or event time-series data without adopting a separate specialized database. The extension can be self-hosted on any Postgres installation, or consumed through the managed cloud service, now branded Tiger Cloud, from the company behind the project (renamed from Timescale to Tiger Data). Tiger Cloud adds automatic backups, high availability, read replicas and point-in-time recovery on top of the same engine. TimescaleDB is generally positioned against purpose-built time-series databases like InfluxDB for teams that value relational SQL and joins over a specialized time-series query language.

At a glance

Vendor Tiger Data, Inc. (formerly Timescale)
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud, Self-hosted
Open source Yes (Apache-2.0)
Best for Teams already on PostgreSQL who need time-series performance without adopting a separate database.

Pricing

The self-hosted extension is free; the managed Tiger Cloud service starts at a flat monthly rate and scales with compute/memory, with a custom-priced Enterprise tier.

Plan Price Notes
Performance From $30/month Up to 8 CPU/32GB memory per service, single-node HA, 3-day point-in-time recovery
Scale From $36/month Up to 32 CPU/128GB memory per service, multi-node HA, 14-day point-in-time recovery, read scaling
Enterprise Custom pricing Up to 64 CPU/256GB memory, cross-region backups, 24/7 support, HIPAA compliance

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Automatic time-based partitioning (hypertables)
  • Native compression for time-series columns
  • Continuous aggregates (materialized rollups)
  • Full PostgreSQL SQL compatibility and joins
  • High availability and read replicas (Tiger Cloud)
  • Point-in-time recovery

Integrations

Profile last reviewed September 21, 2026

Head to head

Alternatives

TimescaleDB in the index now

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