An Incremental Materialized View on Steroids: How We Made Continuous Aggregates Even Better

TimescaleDB expands PostgreSQL query performance by 1,000x, reduces storage utilization by 90%, and provides time-saving features for time-series and analytical applications—while still being 100% Postgres.
They’re so fast we can’t catch up! Check out our benchmarks with two datasets to learn how we used continuous aggregates to make queries up to 44,000x faster, while requiring 60 % less storage (on average).
Instrumenting your code with OpenTelemetry traces is a manual effort that requires considerable time and effort. With tobs, OpenTelemetry Operator, and Promscale, you can deploy—with a single command— a complete pre-configured observability stack in Kubernetes.
Learn how observability powered by SQL can help you unveil performance issues in your distributed systems, courtesy of the now generally available OpenTelemetry tracing support in Promscale.
Managing career growth and development can be tricky, especially in fast-paced software companies. Drawing from personal experience, Timescale’s VP of Engineering shares five lessons for healthy and productive organizations.
Deploy this simple microservices demo and learn how to get unprecedented insights about your systems! The demo application is instrumented with OpenTelemetry, and it includes six powerful Grafana dashboards built with traces and SQL.
With this release, we introduce continuous aggregates in multi-node TimescaleDB, support for Postgres 14, and support for time zones in time_bucket_ng (under experimental).
An in-depth look at how ClickHouse and TimescaleDB architectures impact application design, developer experience, and performance - with detailed benchmark results comparing ingest speeds, disk space, and query response times.
Today we are releasing function pipelines, a new feature that allows you to analyze data by composing multiple functions in SQL - introducing a simpler, cleaner way of expressing complex logic in PostgreSQL.