Java Technologies
Reduce infrastructure overhead and improve
performance when using these technologies.
Cassandra
Improve carrying capacity, eliminate memory bottlenecks, and reduce your infrastructure footprint by as much as 50%.
Kafka
Reduce your infrastructure at least 20% while running Kafka 30% faster, with increased throughput and consistent, jitter-free performance.
Solr
Increase throughput on over 40% less infrastructure, and reduce median pause times.
Elasticsearch
Cut response times for Elasticsearch for the 75th to 99th percentiles by more than 75% without changing a single line of application code.
Hadoop & HBase
Expand NameNodes to handle more HDFS metadata, deliver larger HDFS clusters, and reduce infrastructure costs and operational complexity.
Spark
Improve Spark response times by 24% to 100%+ for most Spark queries, and deliver greater consistency.
Ignite
Eliminate Ignite in-memory pauses, and process thousands of transactions per second in low milliseconds while scaling to petabytes of data.
Hazelcast
Deliver tighter response-time SLAs in Hazelcast, including in small heaps where Hazelcast stores 500MB to 1.5GB data sizes.
Tomcat
Improve web server responsiveness and reduce pauses on less infrastructure.
JBoss
Eliminate application jitter, response time inconsistency and in-memory data limitations, including JBoss Data Grid, EAP and middleware applications.
ZooKeeper
Improve consistency and reliability in memory-sensitive ZooKeeper-managed infrastructures, including Kafka event-streaming infrastructures.
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