Glovo is a food delivery platform based out of Spain that serves over 15 million customers across Europe and Sub-Saharan Africa. The quick-commerce start-up quickly outgrew its monolithic data warehouse and started on its Data Mesh journey to scale its data platform with decentralized data ownership. Glovo deployed Starburst as the analytics engine for Data Mesh in order to empower data users with self-service analytics.
With the Parquet and Delta connectors, the data platform team has seen a significant improvement in query time. Compared to open-source Trino, queries that used to take 10 minutes now take 5 minutes.
Starburst Insights provides a visual overview of important metrics about Glovo’s cluster for all types of users, from platform administrators to data consumers.
Starburst separates compute from storage, allowing Glovo to store its data in the most affordable storage layer (Amazon S3) while only spinning up compute resources, as needed.
We started to try the open-source Trino engine to get familiar with the technology. But our goal was to work with Starburst, because we saw some interesting features like the simplicity by which we could deploy on Kubernetes and autoscale the clusters. These were key for us.
Engineering Manager in Data Platform at Glovo
Up to $500 in usage credits included