Reduce stop-the-world pauses.
We love when our customers tell us they reduced worst-case pauses from 34 seconds down to 35 milliseconds, facilitating larger heaps and allowing larger DataNode clusters.
“This translates into millions of dollars in savings, both hardware we freed up and hosting costs avoided. The ROI of the project is just self-evident.”
Whatever your big data stack, where it’s based on Java and the JVM, Azul Platform Prime reduces infrastructure costs and improves performance, as well as Hadoop and HBase but also Kafka, Cassandra, Spark and many more.
Azul commissioned Forrester Consulting to conduct a Total Economic Impact™ study to evaluate Azul Platform Prime’s return on investment based on customer results.
Azul delivers the turbocharged performance you need to handle the scale of Java-based big data while actually reducing your infrastructure requirements.