Starbust, a Boston, MA-based analytics anywhere company, acquired Varada, a Ramat Gan, Israel-based data lake analytics accelerator.
The amount of the deal was not disclosed.
With the acquisition, Starbust helps customers take their data lake analytics to the next level, move with critical decision-making while reducing data management costs.
Led by CEO Eran Vanounou, Varada provides a proprietary and patented caching and indexing solution which helps customers:
- Speed query performance with autonomous indexing. Varada splits the data to be processed into blocks and then automatically chooses the most effective index for each block based on the data content and structure. This ensures data is available for fast analysis, reducing query response times up to 7x.
- Adapt to business requirements with elastic resource management. Varada’s solution includes a smart cache which caches frequently accessed data to speed performance, but also provides data teams with the tools to adjust settings to meet performance & budget requirements. With the integration, Starburst Enterprise and Varada can elastically scale together to optimize for cost and performance.
- Reduce operational costs with workload-level monitoring. Varada’s workload-level monitoring detects hot data and bottlenecks, alerting data engineering teams to areas for improvement. With the solution overall reducing the need to move & model data, customers see up to 40% cloud compute cost reduction on AWS.
Led by CEO Justin Borgman, Starburst provides an analytics engine for data warehouse, data lake, or data mesh, unlocking the value of distributed data by making it fast and easy to access, no matter where it lives. Starburst queries data across any database, making it instantly actionable for data-driven organizations. The platform is used by companies like Comcast, FINRA, and Condé Nast.
FinSMEs
06/07/2022