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Improve your performance over Hive and Impala
Faster queries. More connectivity. With scalability.
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Want to try Starburst? Have questions? We’re here to help.
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 query speed
• Reduce failed queries
• Enable scale with concurrency
Reduce TCO by 60-75%
• Separation of compute and storage.
• Reduce time and money
spent on ETL
Reduce ETL for ad hoc analytics
• Enable faster time to insights
Compare the features
Starburst Enterprise delivers better performance, more connectivity, and lower total cost of ownership. Customers moving from Hive and Impala to Starburst Enterprise are experiencing the ability to scale, improve performance, federate data across different sources, and continue to maintain security with Ranger, Sentry. Starburst Enterprise allows you to analyze all your data no matter where it lies, and it can be installed and deployed anywhere.
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|---|---|---|---|
| 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 |
| No Dependency on Hadoop | |||
| No requirement for YARN | |||
| Ranger/Sentry Integration | |||
| Latency | High | High | Low |
| Analytic workloads | Batch processing | Interactive analytics | Interactive & Ad-hoc analytics |
Starburst customer results
Food & Beverage Giant Shifts to a Single Point of Access for All Data
While transitioning to Azure Data Lake Storage, this company has turned to Starburst to achieve secure, cost-effective data analytics at scale. In this case study, Starburst Enterprise allows them to analyze data where it lies, with high-performance connectors to several data storage platforms.
Prominent real estate company modernized their data architecture for 1,100 business analysts and ½ petabyte of data.
With their Hive on Cloudera Hadoop delivering slow query response times, a prominent real estate company chose Starburst to scale.
“Worlds Most Admired” in healthcare achieved 2x faster performance, with lower total cost of ownership, and fewer resources
After moving from their Hadoop & MapR environment to Starburst, they are in the process of saving millions, thanks to faster, better claims analytics.
Top 10 global pharmaceutical giant reduced manufacturing time-to-market by 50%
This customer leveraged Starburst to remove Impala and create a single query layer across all their data sets.
Watch the webinar
See how Optum was able to improve their data access and insights using Starburst Trino
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