Addressing Java issues to accelerate big data technologies
Better Java And Infrastructure Cost Savings For Big Data Technologies
Big data applications and components written in Java can lead to read time degradation, user timeouts and even system failures—but what if there was a platform proven to solve Java Virtual Machine (JVM) issues for big data technologies and improve performance of your entire JVM-centric big data solution stack?
Azul Platform Prime helps eliminate Java garbage collections as an issue and reduces peak latencies by up to three orders of magnitude, helping you improve system reliability and responsiveness.
Read on to learn how Azul Platform Prime can help you alleviate Java issues on big data platforms including Hadoop, Cassandra, and HDFS, allowing you to accelerate big data processes and meet demanding SLAs.