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 moreSay goodbye to the nosy neighbor problem with an MPP SQL query engine built for faster queries, high concurrency, petabyte scale, and improved query completion.
Optimized price-performance to increase speed to insight without demanding vast amounts of compute resources.
Enhanced access to 40+ data sources to reduce dependency on ETL for ad hoc analytics, data discovery, and experimentation.
Trino was built as the new and improved MPP SQL query engine to overcome the limitations of Hive. Enhanced Trino powers Starburst to deliver up to 10x better performance, 10x more connectivity, and lower total cost of ownership. See how Starburst stacks up against Hive and Impala.
Features | Hive | Impala | Starburst |
---|---|---|---|
Connectivity | HDFS, S3, ADLS | HDFS, S3, ADLS |
HDFS, S3, ADLS, + 40 other enterprise sources |
— Object Storage | |||
— Operational RDBMS | |||
— Non-Relational DBs | |||
Data Federation | |||
— Streaming sources | |||
Concurrency | Low | Low | High |
Enhanced fault tolerant execution | |||
No Dependency on Hadoop | |||
No requirement for YARN | |||
Ranger/Sentry Integration | |||
Latency | High | Medium | Low |
Analytic workloads | Batch processing | Interactive analytics | Interactive & Ad-hoc analytics |
10X faster queries. 30% reduction in infrastructure costs. $8 million in projected savings.
© 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