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Consistently improve Apache Spark and Scala response times

Faster Spark response times.
More infrastructure savings.

Across most query types, Azul Platform Prime delivers 24% to 100% better response times.
This reduces infrastructure overhead and provides more opportunities for machine learning, streaming, and event-based anomaly detection use cases, such as fraud and intrusion threat detection, environmental monitoring, and trading.

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Reduce pauses.

Improve quality of service for Spark users and reduce infrastructure bottlenecks for IT by eliminating Java pauses, stalls, and stop-the-world failures.

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Deliver event-based machine learning analytics for faster results.

Spark delivers a 24% improvement in raw speed with Azul Platform Prime’s Falcon Compiler.

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Fewer pauses and faster streaming means infrastructure savings.

Meet your Spark and big data Scala SLA targets with fewer cloud instances and/or fewer servers.

 

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“The Azul Platform performance is so superior that we’re now doing things with our big data system that cannot be done without Azul.”

Ariel Pisetzky, VP of IT
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Forest decision trees from Apache Spark

See Spark Machine Learning Library Benchmarks

The Renaissance benchmarks, where Azul Platform Prime outperforms OpenJDK by 37%, features key Chi Square test, logistic regression and random forest decision trees from Apache Spark.

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Explore big data technologies with Azul.

Azul Platform Prime reduces infrastructure costs and improves performance of your big data stack, including Kafka, Cassandra, Spark, and Hadoop.

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The Total Economic Impact of Azul Zing eBook by Forrester

224% ROI over 3 years and payback in under 3 months for Azul Platform Prime.

Forrester Consulting conducted a Total Economic Impact™ study to evaluate the return on investment of Azul Platform Prime based on customers’ actual results. The results were game-changing.

Read the Study
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Increase Hadoop cluster sizes with expanded NameNodes.

Reduce worst-case pauses from 34 seconds down to 35 milliseconds, facilitating larger heaps and allowing more DataNodes in your Hadoop clusters.

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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.

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