Case Study: Conserv improves ingest rates and query speed with TimescaleDB from Timescale

Conserv improves ingest rates and query speed with TimescaleDB

Conserv, a provider of environmental monitoring solutions for museums and libraries, faced challenges managing the influx of data from numerous sensors. Their legacy system struggled with data ingestion and query performance, which delayed critical insights and alerts for artifact preservation. To solve this, they implemented TimescaleDB through a fully-managed Postgres solution from Tiger Data on AWS.

By adopting TimescaleDB, Conserv drastically improved its ingest rates and query speed. The solution provided a performant and scalable repository for their time-series data, enabling real-time monitoring and rapid response to environmental changes. This upgrade from Timescale enhanced system reliability and streamlined operations with features like continuous aggregates and automated data retention policies.

Conserv