How much does TimescaleDB cost?

TimescaleDB offers a free plan and paid plans starting from $10/month.

How good is TimescaleDB?

TimescaleDB has a Lunoo score of 7.9/10. This score is based on AI-powered analysis of category fit, feature coverage, pricing signals, public reception, and recency.

Is TimescaleDB worth it in 2026?

TimescaleDB scores 7.9/10 in the Database category on Lunoo. Compare it with alternatives to find the best fit for your needs.

What are the best alternatives to TimescaleDB?

Visit lunoo.com/alternatives/timescaledb to see top-ranked competitors with objective AI-powered scores and side-by-side comparisons.

How does TimescaleDB compare to competitors?

Lunoo provides objective, AI-powered comparisons. Use the comparison tool to see TimescaleDB side-by-side with any alternative.

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TimescaleDB

7.07

Good

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Database Metrics Analytics Real Time SQL Postgresql IOT Time Series Postgres

Free Plan • From $10/month

language

description TimescaleDB Overview

TimescaleDB is an open-source time-series database built as a PostgreSQL extension. It is engineered for ingesting and analyzing massive volumes of time-stamped data in real-time, such as metrics, IoT sensor data, and financial tick data. It combines the familiarity and reliability of SQL with the performance and scalability needed for time-series workloads. Its continuous aggregates and data retention policies are powerful for real-time analytics.

While excellent for time-series, it's not a general-purpose real-time processing engine like Kafka, and complex joins can be less performant.

recommend Best for: Ideal for organizations dealing with large volumes of time-series data, such as IoT providers or financial institutions.

insights Ranking position

TimescaleDB ranks #69 of 92 in the Database ranking, behind Graphite, ahead of Cloud Firestore.

info TimescaleDB Specifications

Api	SQL, RESTful API
Languages	Python, Node.js, Go
Integration	Kubernetes, Docker, AWS, Azure, GCP
Key Features	Time-series support, automatic sharding, hypertables
Database Engine	PostgreSQL

balance TimescaleDB Pros & Cons

thumb_up Pros

check Scalability with PostgreSQL
check Real-time analytics capabilities
check Ease of use with SQL
check Support for large volumes of time-series data

thumb_down Cons

close Limited community support compared to mainstream databases
close Steep learning curve for advanced features
close Performance degradation with very high write loads
close Less mature than traditional PostgreSQL in some areas

help TimescaleDB FAQ

What makes TimescaleDB different from regular PostgreSQL?

TimescaleDB is optimized for time-series data, offering advanced features like automatic sharding and hypertables that aren't available in standard PostgreSQL.

Is there a free plan available?

Yes, Timescale offers a free tier with limited storage and query capabilities.

Can TimescaleDB handle real-time data processing?

Absolutely, it is designed for real-time ingestion and analysis of time-series data, making it ideal for IoT applications.

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