Java Technologies

Reduce infrastructure overhead and improve performance when using these technologies.

cassandra

Cassandra

Improve carrying capacity, eliminate memory bottlenecks, and reduce your infrastructure footprint by as much as 50%.

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kafka

Kafka

Reduce your infrastructure at least 20% while running Kafka 30% faster, with increased throughput and consistent, jitter-free performance.

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technologies-solr

Solr

Increase throughput on over 40% less infrastructure, and reduce median pause times.

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technologies-elasticsearch

Elasticsearch

Cut response times for Elasticsearch for the 75th to 99th percentiles by more than 75% without changing a single line of application code.

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technologies-hadoophbase

Hadoop & HBase

Expand NameNodes to handle more HDFS metadata, deliver larger HDFS clusters, and reduce infrastructure costs and operational complexity.

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spark

Spark

Improve Spark response times by 24% to 100%+ for most Spark queries, and deliver greater consistency.

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technologies-ignite

Ignite

Eliminate Ignite in-memory pauses, and process thousands of transactions per second in low milliseconds while scaling to petabytes of data.

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1200px-HazelcastLogo-Blue_Dark_Square.svg

Hazelcast

Deliver tighter response-time SLAs in Hazelcast, including in small heaps where Hazelcast stores 500MB to 1.5GB data sizes.

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technologies-tomcat

Tomcat

Improve web server responsiveness and reduce pauses on less infrastructure.

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technologies-jboss

JBoss

Eliminate application jitter, response time inconsistency and in-memory data limitations, including JBoss Data Grid, EAP and middleware applications.

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technologies-zookeeper

Apache ZooKeeper

Improve consistency and reliability in memory-sensitive ZooKeeper-managed infrastructures, including Kafka event-streaming infrastructures.

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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.