New functionality allows customers to ingest, govern, and share data in near real-time, while leveraging the scale and cost-efficiency of a data lake
BOSTON, Nov. 28, 2023 /PRNewswire/ -- Starburst, the data lake analytics platform, today at AWS re:Invent 2023 announced new capabilities that enable organizations to build and scale game-changing data applications without compromising on performance or cost. With the increasing interest in building artificial intelligence (AI)-driven data applications, customers need to establish a solid data platform. New features in Starburst Galaxy help customers simplify development on the data lake by unifying data ingestion, data governance, and data sharing on a single platform.
Interactive applications oftentimes require the scalability and cost-efficiency of a data lake, but building and maintaining that data lake is complex and time-consuming for data teams. To overcome these challenges, Starburst has added support for:
"Data-intensive initiatives like AI require a solid data foundation to be successful," said Justin Borgman, Co-founder & CEO of Starburst. "We provide that foundation, giving our customers the ability to quickly access and analyze all their data in order to scale applications from the first hundred users to the first thousand and beyond. We ensure optimal performance even with high concurrency and exponentially growing data volumes. The new streaming ingest, data maintenance and governance automations, and data sharing capabilities in Starburst make it remarkably easy for teams to build, deploy, and scale applications on top of the data lake."
Halliburton is already taking advantage of this foundation. "After building good quality data products with Starburst, we saw an opportunity to use LLM to help with that process," said Fahad Ahmad, Data Science Leader, at Halliburton. "Previously it would take 2 to 3 weeks to get an answer to an ad hoc question. By embedding an LLM with Starburst's data products architecture, data consumers can ask questions in plain language, have it converted to SQL, and get the answer back immediately."
Starburst's position as an Amazon Web Services (AWS) Data and Analytics Competency Partner, means that AWS customers can rest assured that these features will be made available on the fastest hardware AWS has to provide, including AWS Graviton3 and the newly launched Amazon Simple Storage Service (Amazon S3) Zonal storage class, and will integrate seamlessly with core tools like AWS QuickSight and new tools like Amazon Bedrock.
To learn more about Starburst, including its offerings and integrations, please visit booth 1151 at AWS re:Invent 2023 or the website: www.starburst.io/.
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, enabling teams to focus on building differentiating features, not managing analytics infrastructure.
We believe the lake should be the center of gravity, and be the starting point for querying disparate data. 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.