Federated analytics with Starburst: unlock the value of decentralised data

Data fragmentation and heterogeneity are key limiting factors for data analytics. In any organization, data is scattered around different systems and stored using different formats and technologies, making it extremely difficult to build a unified view of all the appropriate information.

Starburst, an enterprise analytics engine, aims to mitigate this by providing you with a single point of access to all of your data, without the need of centralising information using complex and expensive copy processes. Its parallel and distributed architecture enables you to efficiently query massive data lakes and data warehouses within a single SQL statement, and it supports use cases such as interactive analytics and batch ETL at scale.