CERN Engineers Explain Why they Switched to TimescaleDB for Mission-Critical Time-Series Data

CERN’s detector control systems generate millions of time-series signals, and they needed an archiving engine that could keep up. In this technical talk, CERN engineer Rafal Kulaga explains how they modernized their aging Oracle-based system, built a multi-backend architecture, and why TimescaleDB delivered faster writes, massive compression gains, and 40× faster reads. 🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 📌 Sign up for FREE ⇒ https://tsdb.co/td-yt 📌 Read the Blog Post ⇒ https://www.tigerdata.com/blog/how-cern-powers-ground-breaking-physics-with-timescaledb 💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲! 🔍 Website ⇒ https://tsdb.co/homepage 🔍 Slack ⇒ https://slack.timescale.com 🔍 GitHub ⇒ https://github.com/timescale 🔍 Twitter ⇒ https://twitter.com/timescaledb 🔍 LinkedIn ⇒ https://www.linkedin.com/company/tigerdata 🔍 Tiger Data Blog ⇒ https://tsdb.co/blog 🔍 Tiger Data Documentation ⇒ https://tsdb.co/docs 📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀 ⏱ 0:00 ⇒ Introduction ⏱ 0:36 ⇒ Why CERN Needed a New Data Stack ⏱ 1:40 ⇒ CERN's New Architecture Plan ⏱ 3:12 ⇒ Why CERN Chose TimescaleDB ⏱ 4:05 ⇒ Results and Gains from using TimescaleDB ⏱ 5:45 ⇒ Summary & Wrap up