Cookie Notice
This site uses cookies for performance, analytics, personalization and advertising purposes.
For more information about how we use cookies please see our Cookie Policy.
Manage Consent Preferences
These cookies are essential in order to enable you to move around the website and use its features, such as accessing secure areas of the website.
These are analytics cookies that allow us to collect information about how visitors use a website, for instance which pages visitors go to most often, and if they get error messages from web pages. This helps us to improve the way the website works and allows us to test different ideas on the site.
These cookies allow our website to properly function and in particular will allow you to use its more personal features.
These cookies are used by third parties to build a profile of your interests and show you relevant adverts on other sites. You should check the relevant third party website for more information and how to opt out, as described below.
Fully managed in the cloud
Self-managed anywhere
Use the input above to search.
Here are some suggestions:
Join us for Datanova 2024, October 23-24th. We'll be discussing advancing analytics with Open Data Lakehouse innovations.
Learn moreYour data architecture is unique to your specific business, governance, and security requirements. Data may continue to reside on-premises, in hybrid, or cloud centric data architectures and your lakehouse platform should support your requirements. With Starburst, you gain greater flexibility in how you modernize your Hadoop ecosystem while benefiting from an open data lakehouse.
10x faster queries on data that will stay on-premises in HDFS by upgrading Hive/Impala with Starbursts enhanced MPP SQL query engine built using OS Trino. Also gain 10x more access to data across the enterprise for a more integrated data estate. Compare engines.
Upgrade from Hadoop to the Dell Data Lakehouse powered by Starburst to gain more powerful and efficient on-premises compute, storage, and analytics while connecting to data in AWS S3, ADLS, GCS, and many more sources. Learn more.
Build an open and interoperable data lakehouse by migrating Hive to Iceberg to support cross-cloud and cross-region price-performant analytics at petabyte scale while democratizing secure data sharing with a single point of access and governance. Learn more.
Hadoop comes with many challenges, such as high maintenance costs, complex administration, scalability and nosey neighbor issues, and a lack of cloud-native features. An open data lakehouse over comes the challenges of Hadoop to provide a cost-effective, performant, and future proof data architecture that is built on an open foundation.
Both Starburst Enterprise (software) and Galaxy (SaaS) are powered by enhanced open source Trino and designed for analyzing large and complex data sets in and around your data lake – at petabyte scale.
Starburst makes it easy to discover, govern, analyze, and share data that enables the management of all your data assets through an easy-to-use interface.
Every data store is a first-class entity in Starburst. Use the architecture that meets your needs today and easily evolve it for tomorrow.
Comcast built a hybrid analytics platform, powered by Starburst and Trino, to provide end users easy access to datasets across sources.
With the platform, Hadoop jobs run 10-20x faster than Hive, storage costs are lower, and they’re able to migrate to the cloud without disrupting data access.
Optum’s mission of providing patients a complete view of their health depends in part on providing its analysts with fast, secure access to data.
By deploying Starburst on their Hadoop infrastructure, they achieved 10X faster queries, reduced infrastructure costs by 30%, and projected $8 million in savings.
A top 3 US bank realized Spark/Impala could not scale to meet their risk assessment needs.
With Starburst’s improved performance, scale, and ability to federate across HDFS and other sources, the bank reduced their end-to-end risk modeling time from 2+ days to minutes.
F&B giant turned to Starburst to connect silos across ADLS and legacy data sources.
By switching from HDInsight and Hive to Starburst and ADLS, the company achieved 75% savings from autoscaling, 42% faster queries, and a holistic view across their brands.
“Gartner clients have described plans to replace broad, complex suites of jobs running against large, optimized data warehouses by “moving it to Hadoop.” Not surprisingly, many of these projects have not succeeded.”
© Starburst Data, Inc. Starburst and Starburst Data are registered trademarks of Starburst Data, Inc. All rights reserved. Presto®, the Presto logo, Delta Lake, and the Delta Lake logo are trademarks of LF Projects, LLC
Up to $500 in usage credits included