Hadoop & HBase
Handle more HDFS metadata and larger clusters
while reducing infrastructure costs and complexity.
Increase NameNode capacity,
reduce pause times and failover.
Azul customers running Hadoop and HBase big data technologies drive infrastructure cost savings and performance improvements across data lake, data engineering, and big data analytics applications.
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.
Reduce Hadoop NameNode start-up time.
We also love it when our customers tell us that with Azul they reduced NameNode startup time from 10 hours to 30 minutes.
Improve stability and performance
of Hadoop NameNodes.
And we love it most when customers tell us, as many have, that they improved throughput by 25-40% and enabled 3x-6x more objects on NameNodes than on OpenJDK.
Explore big data technologies with Azul.
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.
224% ROI and payback
in under 3 months
for Azul Platform Prime.
Azul commissioned Forrester Consulting to conduct a Total Economic Impact™ study to evaluate Azul Platform Prime’s return on investment based on customer results.
the modern cloud enterprise.
Deliver highly consistent and pauseless Java execution
regardless of user load or memory allocation.