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.
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;
Use the PostgreSQL tools and utilities you know and love
Learn how to use time-series data provided by the NFL to uncover valuable insights and improve your fantasy league team.Learn more