As part of the representation Aqurate of UCL will offer data virtualization services to its clients.

UCL group Aqurate will distribute Starburst services in Israel
Aqurate is representing Talend, Trifacta, HVR, and now Starburst for data management and integration and will now offer a virtual data layer to its clients with the new agreement signing.

Yosi Rodrik, CEO of UCL group, says: “we found in Starburst an essential completing product for smart data management in organizations. The time for producing insights from the data that is collected in the organizations’ databases is shortened significantly, and the organizations’ response ability shortens accordingly”.

What does the Starburst platform do?

According to the company, Starburst offers a data-mesh-based platform that enables retrieval of distributed data from every database. It’s a fast and efficient engine that performs queries and enables instant data analysis without the need for performing ETL processes and centralizing the data in a single place. With this approach, instead of centralizing all the data in one big silo, you keep it where it already is. At the same time, there is the creation of a main platform for performing queries, and it can access all the databases for data collection and analysis. There is no need for coping and duplication or transforming the data. It is possible to schedule the queries in much more effective time constants and combine with the answers updated data that parks outside of the warehouse.

This engine saves data supplication and transfer by making a virtual layer for data consumption, so the analysts and data systems in the organization can access the data from every platform in one place, whether it’s in the cloud or databases. It is also possible to run queries quickly and simultaneously from different sources and sizes, from petabytes up to exabytes.

In addition, the platform has an easy configuration and enables layout both in the cloud and locally, advanced monitoring, and support of over 40 kinds of organizational links. Furthermore, only authorized people can access the data relevant to them. That saves the costs and delays of building an ETL. The permission issue is resolved because it’s possible to impose all of the elements on the main platform, and there is no need to classify the stored data. The data-mesh approach (including storing costs) is not only cheaper but also more updated and accessible for the different consumers it was built to serve. That’s why the ROI is improving dramatically.