Value proposition

The data lake analytics platform

For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Trusted by companies like Comcast, Grubhub, and Priceline, Starburst helps companies make better decisions faster on all their data.

For more information: starburst.io

Join us! -- Our company was founded in an unusual way; with customers and revenue from the beginning! Our growth is already ahead of some of the most successful software start-ups, and we don’t plan on slowing down.

We believe our opportunity is huge. Every large company in the world suffers from a data silo problem. Traditional data warehouse products approach the problem with old solutions that breed inefficiency and ultimately can’t help business analysts run fast analytics on all their data. This prevents the business from making better decisions to improve their company’s performance. Starburst provides a modern solution that addresses these data silo & speed of access problems. Starburst helps enterprises harness the value of Trino, the fastest distributed query engine available today, by adding the tools and 24x7 support that meet the needs for big data access at scale. Ultimately, Starburst helps organizations run analytics anywhere to make better business decisions.

We’re building a team of all-stars: engineers, customer success, sales, and marketing pros who are at the top of their game. If this sounds like you, check out our open roles:

starburst.io/careers

Hadoop, SQL, Hive, Amazon Athena, Distributed Systems, Databases, Big Data, Analytics, Data Lake, Data Virtualization, Data Federation, SQL-on-Anything, SQL-on-Hadoop, Trino, Data Mesh, TrinoDB, and SQL Query Engine