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Upgrade from Hive and Impala for immediate performance gains

Enhanced Trino is the modern engine for your on-premises Hadoop, offering increased concurrency, faster queries, more connectors, and efficient scalability.

Starburst customers report an average 10x increase in performance, 60% reduction in total cost of ownership, and significant reduction in ETL for ad hoc analytics.

Improve performance by 2-20x

Improve performance by 2-20x

Say goodbye to the nosy neighbor problem with an MPP SQL query engine built for faster queries, high concurrency, petabyte scale, and improved query completion.

Reduce TCO by 60-75%

Reduce TCO by 60-75%

Optimized price-performance to increase speed to insight without demanding vast amounts of compute resources.

Reduce ETL for ad hoc analytics

Reduce ETL for ad hoc analytics

Enhanced access to 40+ data sources to reduce dependency on ETL for ad hoc analytics, data discovery, and experimentation.

Optum showcases the power of using Starburst optimize Hadoop

10X faster queries. 30% reduction in infrastructure costs. $8 million in projected savings.

 

 

 

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Featured resources for you

Transitioning from Hadoop to modern data lakehouse

Transitioning from Hadoop to modern data lakehouse

With the integration of Starburst, Hadoop’s architecture transforms into a modern, efficient lakehouse model. Starburst introduces Trino as the powerful query engine, replacing Hive and Impala, which significantly enhances query performance and scalability. 

Free O'Reilly Book - Trino: The Definitive Guide

Free O'Reilly Book - Trino: The Definitive Guide

Trino: The Definitive Guide is the first and foremost book about the Trino (formerly known as Presto) distributed query engine.

Understanding the Starburst and Trino Hive Connector Architecture

Understanding the Starburst and Trino Hive Connector Architecture

In this blog we’re going to dive into arguably the quintessential use case of the Starburst query engine to gain an insight into the answer to this question.

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