Reduce infrastructure overhead.
Proven to reduce Cassandra infrastructure overhead up to 50%, sometimes more.
Ensure Cassandra is always-on, scalable, real-time.
Azul is proven in 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.
Consistent performance equals massive infrastructure savings.
Azul Platform Prime JVM runtimes allow Cassandra to run smoothly, free of Java-related performance glitches and hangs, and save on infrastructure costs.
An elastic Java runtime optimized for Cassandra.
Out of the box, Azul reduces peak disruptions to a few milliseconds. You will immediately see better performance and responsiveness for your Cassandra-based applications
35% more throughput than OpenJDK.
Prime with Cloud Native Compiler delivers unsurpassed Cassandra performance, from warm-up to fully optimized code – see real Cassandra cluster benchmarks.
Real-time, machine learning-based fraud detection.
“With Feedzai, Azul powers the largest banks in the world with peak load demands of up to 50,000 transactions per second,” says Nuno Sebastiao, Chief Executive Officer of Feedzai.
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.