With Sarus, organizations can leverage data from multiple geographic and organizational areas. The non-movement of data principle means that all confidential information remains in the original infrastructure. Yet, its value can be extracted by the central data team or external stakeholders thanks to the remote query execution approach.
Data scientists can train and validate AI models across various subsidiaries, and boost model performance from larger datasets. Central BI teams can analyze international data through federated statistics.
Organizations embrace a data-mesh approach where each location owns their data assets as a product while removing barriers to collaboration.