Turbocharge Zookeeper Performance While Reducing Infrastructure
More flexible memory management with reduced pauses and improved cluster efficiency
When using ZooKeeper in conjunction with clusters, infrastructures, and technologies, the Azul Platform drives infrastructure cost savings and improved response times across data lake, data engineering, and big data analytics applications.
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Reduce stop-the-world pauses.
We love when our customers tell us they reduced worst-case pauses by 10x.
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Improve memory management.
Use larger heaps with Azul Prime, and enable larger ZooKeeper-managed clusters.
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Improve stability and performance of Hadoop and Kafka clusters.
Improve throughput by 25-40% when compared to using OpenJDK or Oracle HotSpot.
Accelerate big data with Azul.
Azul Prime reduces infrastructure costs and improves response times in ZooKeeper-managed clusters such as Hadoop, HBase, Kafka, Solr, Spark, and many more.
Azul Prime reduces infrastructure costs and improves response times in ZooKeeper-managed clusters such as Kafka, Hadoop, HBase, Solr, Spark, and many more.
Azul Prime helped Workday reduce operational tickets by over 95%, reduce total pause time per JVM from 40,000 seconds per week to 14 seconds per week, and eliminate at least 42,000 person-hours over 1.5 years that would have been spent on performance tuning.
Azul delivers the turbocharged performance you need to handle the scale of Java-based big data while actually reducing your infrastructure requirements.