INTELLIGENT BRANDS // Software for Business
Starburst advances ‘ Icehouse ’ for near real-time analytics on the Open Data Lakehouse
Fully managed end-to-end lakehouse platform built on open-source Trino and Apache Iceberg . the most advanced and user-friendly open data analytics platform available ," said Justin Borgman , Co-founder and CEO , Starburst .
Starburst has announced its fully managed Icehouse implementation on Starburst ’ s multi-cloud data lakehouse service , Galaxy . With the Galaxy Icehouse , customers can benefit from the scalability , performance and cost-effectiveness of a combined Trino and Iceberg architecture ( Icehouse ) without building and maintaining a custom solution themselves .
Now , Starburst has introduced its fully managed implementation of an Icehouse in Starburst Galaxy .
Starburst ’ s Icehouse builds on the proven Trino SQL analytics , governance and auto-scaling capabilities in Starburst Galaxy and adds new support for near real-time data ingestion at petabyte-scale into managed Iceberg tables .
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“ The move to Starburst and Iceberg has resulted in a 12x reduction in compute costs versus our previous data warehouse . This efficiency allows us to focus our attention on using analytics for revenuegenerating opportunities .” – Peter Lim , Sr . Data Engineer , Yello .
This announcement builds on the strong momentum of Starburst Galaxy including 3x year-over-year growth in both active customers and usage volume .
Starburst is setting new benchmarks in the industry , proven by the rapid adoption of its Galaxy platform , addressing customers ' need for an open data lakehouse architecture .
As seen in the Icehouse Manifesto , the open-source Trino query engine combined with the Apache Iceberg table format provides powerful scalability , costeffectiveness and query performance without the risk of vendor lock-in .
The Icehouse architecture underpins some of the most sophisticated lakehouses on the planet , including those at Netflix , Apple , Shopify and Stripe .
With Starburst ' s Icehouse , customers ' data and development teams can use easy-to-use Structured Query Language ( SQL ) to prepare and optimize their data – making it available for production use in near real-time .
Further , building on the auto-tuning capabilities in Starburst Warp Speed , Starburst ’ s Icehouse automatically uses the optimized data to improve query performance , enabling interactive use cases without requiring costly expert tuning and code changes .
" Adding a fully managed Icehouse implementation to Starburst Galaxy marks a significant milestone in our journey to provide
“ Starburst Galaxy has been a game-changer for our team , significantly enhancing our data pipeline performance . Our analysts are thrilled with the faster response times , while our stakeholders appreciate the expedited updates to their dashboards . – Johni Michels , Data Team Lead , Kovi .
“ BestSecret transitioned from a monolithic system to a decentralized Starburst and Iceberg setup , enabling direct analytics on data – bypassing traditional data warehousing steps and achieving notable cost reductions .” – Lutz Künneke , Director of Engineering , BestSecret p
Effectively operationalizing an Icehouse requires handling data ingestion , data governance , Iceberg data management and capacity management at scale – especially in multi-cloud environments .
Most organizations don ’ t have the time or expert resources required to fully implement and benefit from the Icehouse architecture .
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