Rely on the same PostgreSQL you know and love, with full SQL, rock-solid reliability, and a massive ecosystem.
Achieve 10-100x faster queries than PostgreSQL, InfluxDB, and MongoDB. Native optimizations for time-series.
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.
Let us run TimescaleDB for you, fully managed on AWS, Azure, or GCP in 75+ regions. Access top-rated support.
Spend less with 94-97% compression rates from best-in-class algorithms and other performance improvements.
Time-series data is everywhere
All observability data is time-series data. Efficiently finding and addressing infrastructure and application issues is a time-series problem.
Promscale is the observability backend powered by SQL. It provides a single storage and query language for metrics and traces. Built on the dependable foundation of TimescaleDB and Postgres, it seamlessly integrates with Prometheus, Grafana, OpenTelemetry, and Jaeger and offers 100% PromQL compliance.
-- What is the change of memory consumption for each
-- of my k8s containers over the past 10 minutes?
SELECT time_bucket('10 seconds', time) AS period,
container_id, avg(free_mem)
FROM metrics
WHERE time > NOW () - interval '10 minutes'
GROUP BY period, container_id
ORDER BY period DESC, container_id;
Built on PostgreSQL
Use the PostgreSQL tools and utilities you know and love
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
