TimescaleDB

Name: TimescaleDB
Brand: TimescaleDB
Price: 29 USD
Rating: 4.6 (114 reviews)

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Time series database on PostgreSQL

Data & Databases Analytics Developer Tools

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4.6(114 across the web)

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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
Offers a free self-hosted option, with cloud plans available

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

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourcetimescale.com ↗

Pros & Cons

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

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.

G2114 reviews

4.6/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Time series databasePostgreSQLContinuous aggregatesCompressionSQLOpen source

Pricing Plans

30-day Free Trial

Pricing checked Aug 22, 2026

Self-hosted

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?

90/100

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

Data transfer fees in cloud

Potential for overage charges on dynamic storage

How TimescaleDB Compares to Competitors

Compared to InfluxDB Cloud, which also has a free tier but can quickly escalate based on data ingestion and storage, TimescaleDB's $29/month starting cloud price for managed service feels more transparent. AWS Timestream, while integrated into the AWS ecosystem, often has a more complex pricing structure based on data ingestion, storage, and queries, making TimescaleDB's cloud offering potentially simpler to budget for smaller operations.

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.

Source: timescale.com

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