Consistently improve Spark and Scala response times.
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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.

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.

Deliver event-based machine learning analytics for faster results.

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

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.

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

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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

From payment processing to digital marketing to predictive analytics—Azul enables today’s business-critical capabilities, for less.

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