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Reviews onG2
114 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

PostgreSQL extension

Biggest con

PostgreSQL required

TL;DR - TimescaleDB

  • TimescaleDB is a time-series database built on PostgreSQL
  • It handles time-series data with full SQL and PostgreSQL compatibility
  • Free self-hosted option, Cloud from $29/month
Pricing: Free plan available
Best for: Growing teams
4.6/5 across review platforms

What is TimescaleDB?

Editorial review
TimescaleDB adds time-series superpowers to PostgreSQL. Time-series queries and compression on familiar PostgreSQL-analytics for timestamped data. The PostgreSQL foundation is familiar. The time-series features are powerful. The compression helps storage. Teams with time-series data who love PostgreSQL choose TimescaleDB for temporal analytics.

Available on: Web

Pros & Cons

Pros

  • PostgreSQL extension
  • Time series optimized
  • Full SQL support
  • Easy to start
  • Good compression

Cons

  • PostgreSQL required
  • Some features paid
  • Learning curve
  • Scaling complex
  • Resource usage

Ratings Across the Web

4.6(114 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Time series databasePostgreSQLContinuous aggregatesCompressionSQLOpen source

Pricing Plans

30-day Free Trial
Most Popular

Self-hosted

Free

Free

  • Time-series
  • PostgreSQL extension
  • Full features

Cloud

$29/month

Starting

  • Dynamic storage
  • Auto backups
  • Managed

Reviews

4.6/5

Across 114 verified user reviews on G2

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TimescaleDB FAQ

Is TimescaleDB free?

Apache 2.0 edition is free. Community features are free. Enterprise features require license. Built on PostgreSQL.

What is TimescaleDB?

TimescaleDB is a time-series database. PostgreSQL extension for time-series data. SQL with time-series optimizations.

TimescaleDB vs InfluxDB?

TimescaleDB uses PostgreSQL and SQL. InfluxDB has custom query language. TimescaleDB if you know PostgreSQL.

What are hypertables?

TimescaleDB's automatic time partitioning. Regular tables that scale for time-series. Transparent to queries.

Guides & Articles