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Starburst releases lakehouse platform on Trino and Apache Iceberg


Big Data

Starburst releases lakehouse platform on Trino and Apache Iceberg

Starburst is introducing Galaxy, its multi-cloud data lakehouse service, to its fully managed Icehouse implementation.

The company emphasizes that customers will greatly benefit from the revolutionary Galaxy Icehouse architecture, which seamlessly integrates Trino and Iceberg. It offers scalability, performance, and cost-effectiveness. They do not have to worry about the costs and effort of creating and managing a custom solution.

Starburst CEO, Justin Borgman, said that adding a fully managed Icehouse implementation to Starburst Galaxy is a big step towards their goal of providing the best open data analytics platform. He said that this improvement, along with their cutting-edge capabilities, helps users manage data and analytics more accurately, efficiently, and easily.

Icehouse, the latest addition to Starburst's lineup, builds upon the already impressive Trino SQL analytics, governance, and auto-scaling capabilities found in Starburst Galaxy. It also provides new support for ingesting petabyte-scale data into managed Iceberg tables in near-real-time.

Just collecting a lot of data is not enough. An organization must ensure that the data is accurate and meets performance standards in order to provide value to end users through dashboards and live apps. Starburst's Icehouse allows development teams and customers to prepare and optimize their data in almost real-time for production use using simple Structured Query Language (SQL).

However, just collecting a large amount of data is not enough. An organization must ensure that the data is accurate and meets performance standards. This data should also bring value to end users by being used in dashboards and live apps. According to the company, Starburst's Icehouse enables development teams and customers' data to prepare and optimize their data in almost real-time for production use using simple Structured Query Language (SQL).


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