Ignition and TimescaleDB: the Perfect Pairing
Ignition's SQL Historian stores tag data in Postgres, which isn't built for time-series workloads. TimescaleDB fixes that in the storage engine.
By Doug Pagnutti
April 17th, 2026
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Ignition's SQL Historian stores tag data in Postgres, which isn't built for time-series workloads. TimescaleDB fixes that in the storage engine.
By Doug Pagnutti
April 17th, 2026
In this post, Nakylai Taiirova shows how TimescaleDB solved Postgres performance issues: 83% storage reduction, 979x faster queries, and seamless SQL compatibility for time-series data.
By NAKYLAI TAIIROVA
September 4th, 2025
How Evergen replaced MongoDB with Tiger Cloud to handle renewable energy monitoring, cutting resource usage 50% and improving query speed to under 500ms.
By Anya Sage
August 19th, 2025
Discover how Speedcast built a unified global communications network using Tiger Lake, processing 20GB/hour of real-time satellite and IoT data to reduce support tickets and improve service reliability across 12,000+ terminals worldwide.
By Kevin Otten
July 23rd, 2025
Discover how CERN uses TimescaleDB to archive millions of SCADA signals—cutting storage by 7x and boosting query speed up to 40x.
By Rafal Kulaga
July 17th, 2025
Postgres isn't built for real-time analytics. Timescale solves that problem—dive into our architecture choices to learn how.
By Anya Sage
April 18th, 2025
Learn how you can solve your IoT application's scalability issues, including the 10 most common challenges when IoT data outgrows your architecture.
By Anya Sage
April 17th, 2025
Lookup queries and inserts have just become much faster on TimescaleDB. Read how we now support B-tree and hash indexes in our columnstore.
By Mats Kindahl
March 18th, 2025
Learn about the top five IoT manufacturing trends, their data challenges, and how to address them in our upcoming webinar.
By Anya Sage
March 12th, 2025