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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

Pricing checked Jul 13, 2026

Most Popular

Self-hosted

Free

Free

  • Time-series
  • PostgreSQL extension
  • Full features

Cloud

$29/month

Starting

  • Dynamic storage
  • Auto backups
  • Managed

Reviews

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4.6/5

Across 114 verified user reviews on G2

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TimescaleDB FAQ

How does TimescaleDB enhance PostgreSQL for time-series data?

TimescaleDB extends PostgreSQL by adding specialized capabilities for time-series queries and compression. It allows users to perform powerful analytics on timestamped data while leveraging the familiar PostgreSQL environment.

What kind of user benefits most from TimescaleDB?

Teams that work with time-series data and already have a preference for PostgreSQL will find TimescaleDB particularly beneficial. It provides robust temporal analytics within a familiar database ecosystem.

How does TimescaleDB compare to InfluxDB for time-series analytics?

TimescaleDB operates as an extension to PostgreSQL, offering full SQL support and leveraging a familiar database environment. In contrast, InfluxDB is a standalone time-series database with its own query language and ecosystem.

Does TimescaleDB include a free tier?

Yes, TimescaleDB is available on a free tier, allowing users to get started without initial cost. Paid plans are offered for those requiring more extensive usage and additional features.

What are the main trade-offs when choosing TimescaleDB?

A primary trade-off is the requirement for PostgreSQL, as TimescaleDB functions as an extension to it. Users may also encounter a learning curve for its specialized features and potentially complex scaling scenarios, alongside some features being exclusive to paid plans.

Can TimescaleDB help reduce storage costs for time-series data?

Yes, TimescaleDB includes good compression capabilities specifically designed for time-series data. This feature helps to reduce the overall storage footprint required for large volumes of timestamped information.

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