Better Java and Infrastructure Cost Savings for Big Data Technologies

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Brief

Better Java and Infrastructure Cost Savings for Big Data Technologies

In this brief

When written in Java, Apache Kafka, Hadoop, Cassandra, Spark, Elasticsearch and Solr applications can hit performance issues – which even time-consuming Java Virtual Machine (JVM) tuning can't fix.

This brief details:

How Azul Platform Prime supports big data use cases not possible with other JVMs.
The unique benefits of Azul Platform Prime for big data technologies

"Big data technologies often use in-memory data storage and processing for fast results. However, response times can spike and throughput stall if the JVM’s memory starts to fill."

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