Data is everywhere and data leaders and consumers need to unlock access wherever it lives. Starburst provides easy access to data in multiple sources, reducing storage costs and bringing faster time to insights to make better business decisions.
In today’s complex data ecosystem, the business asks a question of the data, and data engineers struggle with providing answers in a timely manner. Large enterprises are constantly trying to solve the following problems:
Starburst solves for the intersection of ever-increasing data volumes and ever-increasing data consumers. The historical approach of constantly moving data into a single-source-of-truth method is no longer possible — there’s too much data, and too many people trying to ask new questions of the data. We help our customers de-prioritize data movement while they give their teams consistent, easy, and fast SQL-based access to all their data. We call this the data consumption layer.
Starburst Enterprise is a data consumption layer that unlocks siloed data by providing fast access to any data source, via SQL — the tool language your team already knows and then can be utilized in the analytics tool you already use. With advanced security features — this data consumption layer provides a secure single-point-of-access for all your data.
Easily brings together more than one data source; whether they be on-premise or in any cloud, in a data lake, data warehouse, or lakehouse
Reducing or eliminating the need for ETL, decreasing total cost of ownership (TCO), and ensuring the quality of your data while performing ad-hoc queries
Data lock-in is not an option regardless of where your data lives. We help to unlock access to all your data sources to speed up your time to insights
Speeding time to insights on your data lake with our fast ANSI SQL query engine.
Scaling with your growing data volume so you can significantly reduce resource utilization provide adequate concurrency
Providing a centralized security framework that controls access to data wherever it lies conforming to strict data governance and security regulations
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