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A continuous aggregate is similar to a PostgreSQL materialized view, speeding up queries. But rolling up (or downsampling) previously rolled up data can increase calculation speed while decreasing storage needs. Say hi to continuous aggregates on continuous aggregates, courtesy of TimescaleDB 2.9.



PostgreSQL + TimescaleDB: 1,000x Faster Queries, 90 % Data Compression, and Much More
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.



How We Made Data Aggregation Better and Faster on PostgreSQL With TimescaleDB 2.7
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).

Kubernetes Observability in One Command: How to Generate and Store OpenTelemetry Traces Automatically
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.




Observability Powered by SQL: Understand Your Systems Like Never Before With OpenTelemetry Traces and PostgreSQL
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.

Five Lessons for Managing Growth and Career Development in Software Companies
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.

