When Boring is Awesome: Building a Scalable Time-Series Database on PostgreSQL
(Update: Follow the discussion on this Hacker News thread.) TimescaleDB: SQL made scalable for time-series data. Today we are announcing the beta release of TimescaleDB, a new open-source time-series database optimized for fast ingest and complex queries, now available on GitHub under the Apache 2 license. TimescaleDB is engineered up from PostgreSQL (packaged as an extension) and yet scales ou
(Update: Follow the discussion on this Hacker News thread.) TimescaleDB: SQL made scalable for time-series data. Today we are announcing the beta release of TimescaleDB, a new open-source time-series database optimized for fast ingest and complex queries, now available on GitHub under the Apache 2 license. TimescaleDB is engineered up from PostgreSQL (packaged as an extension) and yet scales out horizontally, which means it supports normal SQL and all of the features you expect from a relational database: JOINs, secondary indexes, complex predicates and aggregates, window functions, CTEs,…
related reading
- Debezium and TimescaleDBdebezium.io
- Making 768 servers look like 1 — PlanetScaleplanetscale.com
- An Overview of Distributed PostgreSQL... | Crunchy Data Blogcrunchydata.com
- Blog — PlanetScaleplanetscale.com
- Why PostgreSQL Is the Bedrock for the Future of Datatigerdata.com
- Benchmarking How Workflow Execution Scales on Postgres | DBOSdbos.dev
- When Boring is Awesome | Tiger Datatimescale.com
- Scaling Temporal: The basics | Temporaltemporal.io
- The startup's Postgres survival guidehatchet.run
- Just Use Postgres for Everything | Amazing CTOamazingcto.com
- Nine ways to shoot yourself in the foot with PostgreSQLphilbooth.me
- The Beginner's Guide to Databasestechnically.substack.com