Improve quality of service for Spark users and reduce infrastructure bottlenecks for IT by eliminating Java pauses, stalls, and stop-the-world failures.
See Spark Machine Learning Library Benchmarks
The Renaissance benchmarks, where Azul Platform Prime outperforms OpenJDK by 37%, features key Chi Square test, logistic regression and random forest decision trees from Apache Spark.
224% ROI over 3 years and payback in under 3 months for Azul Platform Prime.
Forrester Consulting conducted a Total Economic Impact™ study to evaluate the return on investment of Azul Platform Prime based on customers’ actual results. The results were game-changing.
Increase Hadoop cluster sizes with expanded NameNodes.
Reduce worst-case pauses from 34 seconds down to 35 milliseconds, facilitating larger heaps and allowing more DataNodes in your Hadoop clusters.
Azul powers the modern cloud enterprise.
Azul delivers the turbocharged performance you need to handle the scale of Java-based big data while actually reducing your infrastructure requirements.