We're counting down to the last free Oracle Java 8 update - what's your plan?
Azul can save your day.
Many Big Data applications, NoSQL databases (such as
Cassandra and HBase) and technology components are written in and depend on Java. Java has inherent limitations that can prevent enterprises from optimizing performance and utilizing large in-memory datasets.
Azul Zing is a high performance Java platform that is essential technology for Big Data. Zing ® lowers average latency by up to 70% and allows in-memory datasets beyond 8 TB without performance penalty. For more, read the test results for JBoss. ® Data Grid on Zing and Java HotSpot™
Zing improves business results through better, more timely decision making and predictable, real-time response for Big Data and analytics applications.
Massive In-memory Datasets, Without Pauses
Up to 8 TB per Java instance, if required
Reduces/eliminates the need for caching or data grid apps
Supercharges Java-based NoSQL databases like
Apache Cassandra™ Process more live data with faster results
Vocalabs Case Study Benchmark:
JBoss ® Data Grid No More Jitter
Get to Market Faster
Minimal tuning needed Works great out of the box
Reduces tuning to one parameter (-Xmx)
Open up New Business Opportunities
That weren’t practical before
Free up development time
Focus on innovation and new capabilities instead of juggling performance issues