Azul Recognizes Winners of its Inaugural 2024 Azul Java Hero Awards for Innovative, World-Class Java Deployments

Reduce Your Apache Cassandra Infrastructure Costs with Azul

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Ensure Apache Cassandra is always-on, scalable, real-time.

Azul is proven in Apache Cassandra deployments ranging from just a few nodes to thousands of server instances, reducing infrastructure costs for e-Commerce apps, personalization platforms, payment processing, fraud detection systems, and all types of Cassandra-based use cases.

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Reduce Cassandra infrastructure overhead.

Proven to reduce Cassandra infrastructure overhead up to 50%, sometimes more.

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Increase Cassandra carrying capacity.

No pauses at increased levels of throughput. More operations (reads/writes) per second leading to increased numbers of tables processed.

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Reduce Cassandra memory bottlenecks.

No more 1TB-memory limits, meaning fewer cluster instances required.

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“Azul Platform Prime allows us to free up a lot of monetary resources to invest in other aspects of the company as well as other new upcoming products.”

Ariel Pizetsky, VP of IT, Taboola

Apache Cassandra at Taboola.
Powered by Azul.

“This translates into millions of dollars in savings, both hardware we freed up and hosting costs avoided. The ROI of the project is just self-evident.”

Consistent performance equals massive infrastructure savings.

Azul Platform Prime JVM runtimes allow Apache Cassandra to run smoothly, free of Java-related performance glitches and hangs, and save on infrastructure costs.

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An elastic Java runtime optimized for Apache Cassandra.

Azul Cloud Native Compiler

35% more Cassandra throughput than OpenJDK with Azul Platform Prime.

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Real-time, machine learning-based fraud detection.

Cassandra Performance: Throughput, Responsiveness, Capacity and Cost

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Cassandra on Steroids – Alex Berkoff, Azul

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.