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TimescaleDB

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Time series database on PostgreSQL

From $29/mo (free plan available)
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Reviews on G2
114 reviews tracked

The Bottom Line

Price
From $29/mo (free plan available). Compare plans

Key facts

  • TimescaleDB is a time-series database built on PostgreSQL
  • It handles time-series data with full SQL and PostgreSQL compatibility
  • Offers a free self-hosted option, with cloud plans available

Pros

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

Cons

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

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

how we evaluate Source timescale.com ↗

Ratings Across the Web

4.6 (114 reviews)

TimescaleDB holds an aggregate rating of 4.6 out of 5 from 114 reviews across G2, last checked May 29, 2026.

G2 114 reviews
4.6/5

Ratings aggregated from independent review platforms. Learn more

Key Features

  • Time series database
  • PostgreSQL
  • Continuous aggregates
  • Compression
  • SQL
  • Open source

Pricing Plans

30-day Free Trial

Pricing checked Oct 3, 2026

TimescaleDB plans and prices, checked October 2026
PlanPriceDetails
Self-hosted Popular

$0

Free

  • Time-series
  • PostgreSQL extension
  • Full features
Cloud

$29/month

Starting

  • Dynamic storage
  • Auto backups
  • Managed
Calculate your cost View full pricing

Is TimescaleDB worth the price?

Great value

TimescaleDB's pricing is quite generous, especially with the free self-hosted option offering full features.

The Cloud tier starting at $29/month is competitive for a managed time-series database. This pricing model is best for developers and small teams who want to start for free and scale to a managed service as needed.

Hidden Costs & Gotchas

Cloud tier storage/compute beyond base limits

Potential for overage charges on dynamic storage

Full TimescaleDB pricing: every plan, hidden costs and alternatives

Reviews

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4.6/5

Across 114 verified user reviews on G2

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

TimescaleDB vs Influxdb Head-to-head: features, pricing, who wins TimescaleDB vs CrateDB Head-to-head: features, pricing, who wins TimescaleDB vs Prometheus Head-to-head: features, pricing, who wins

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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.

Source: timescale.com

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