Case Study: European Space Agency improves geospatial and time-series performance with Timescale

ESA stores billions of rows with Timescale

The European Space Agency (ESA) faced performance challenges managing vast geospatial and time-series data from its missions using legacy database systems. While they moved to open-source PostgreSQL for its tooling, they still struggled with data management at scale. They turned to Timescale to address these specific issues.

By implementing Timescale, ESA significantly improved performance and usability. The solution automatically partitioned time-series data into hypertables, eliminating manual complexity and enabling the efficient storage of billions of rows in a single virtual table. This provided the European Space Agency with easy scalability, improved performance, and streamlined developer onboarding for their Digital Library of the Universe.

European Space Agency (ESA)