Case Study: Palas achieves faster air quality data analysis with TimescaleDB

Palas reduces database size 4x with Timescale

Palas, a German company specializing in advanced air quality measurement devices, faced challenges in managing the high volume of real-time data generated by its global network of sensors. They required a scalable and cost-effective solution for efficient data ingestion, storage, and complex querying to support diverse environmental monitoring applications. To solve this, they implemented TimescaleDB.

By using TimescaleDB, Palas significantly improved its data management. The solution enabled a 4x reduction in database size from 200 GB to 55 GB through compression, maintained average query times of 25 milliseconds, and achieved a high insertion rate. These performance gains allowed Palas to offer efficient real-time data access and analysis to its customers with reduced operational costs and simplified development.

Palas