Postgres for time-series
TimescaleDB is the open-source relational database for time-series and analytics. Build powerful data-intensive applications.
Great companies trust Timescale
Become instantly productive with full SQL. Rely on the same PostgreSQL you know, love, and trust.
Hyperfunctions make time-series easier. Achieve 10-100x faster queries than with vanilla PostgreSQL, InfluxDB, MongoDB.
Write millions of data points per second per node. Horizontally scale to petabytes. Don’t worry about cardinality.
Simplify your stack, ask more complex questions, and build more powerful applications.
Don’t break the bank. 94-97% compression rates from best-in-class algorithms. Downsample + retention policies. Decouple compute and storage.
You’re in trusted hands. Fully-managed TimescaleDB on AWS, Azure, or GCP in just one click. Top-rated support and ops available 24/7 worldwide.
Time-series data is everywhere.
Financial data
Developers can combine relentless streams of financial and tick data with other business data to build new apps and uncover unique insights.
Web3 / Crypto
Web3 developers need to ingest, analyze, and explore real-time cryptocurrency data, mining metrics, and blockchain activity.
Application metrics
Developers can understand how a product is used over time, make data-driven decisions about user segmentation, and identify the impact of product and business decisions.
Internet of Things
Developers need to track the performance of millions of devices and sensors with pinpoint geospatial and temporal accuracy.
Observability
Companies need to find and address infrastructure and application issues in real-time.
Built by developers for developers
Tutorials
Explore step-by-step tutorials to get a tour of TimescaleDB features, including built-in SQL functions, and run your first queries using a public dataset.
Explore all tutorialsUse continuous aggregates
Follow this tutorial to use TimescaleDB's automated materialization capabilities to speed up your common aggregate queries.
View tutorialTimescale Blog
Visit our blog to get our latest demos, tips and tricks, best practices for using time-series data, and updates about upcoming virtual events.
Explore the blogVisualize your data with TimescaleDB and Grafana
Learn how to set up, connect, and build your dashboards with TimescaleDB and Grafana (a popular open-source visualization tool).
View tutorialSet up TimescaleDB with Prometheus
Create analytical, long-term storage for Prometheus data in TimescaleDB with one command-line statement using our Helm charts.
Launch nowAPI Reference
Get in-depth knowledge about all of TimescaleDB’s features and how to use them.
Explore the docsHacking NFL data with PostgreSQL, TimescaleDB, and SQL
Learn how to use time-series data provided by the NFL to uncover valuable insights and improve your fantasy league team.
Learn moreAnalyze historical intraday stock data
Financial data is time-series data. Follow this step-by-step guide on how to collect, store, and analyze intraday stock data with TimescaleDB.
View tutorialAnalyze cryptocurrency trends with ease
Developers love using TimescaleDB to analyze cryptocurrency data. Follow the tutorial and learn how.
View tutorial
An ecosystem
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More than a product.
A community.
Join thousands of developers solving similar problems in a supportive environment.
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