Increase Ignite capacity, reduce pause times & remove Java-caused limits to scalability.
Massive transactional, analytical & streaming workloads at petabyte scale? No problem.
Azul customers combining with Ignite dramatically speed up and add resilience for Java applications
in low-latency use cases, such as credit card authorization and payment processing.
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Reduce stop-the-world pauses.
Consistently deliver 10x better latency for the 99.99th percentile in Ignite in comparison to general-purpose JVMs like HotSpot.
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Deliver results in real-time.
Thousands of transactions per second—it doesn’t get any more real-time than that.
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Scale out across RAM and disk.
Scale to Terabytes, and cache more for fastest performance and cache less to reduce infrastructure costs.
“The combined solution of GridGain’s in-memory computing platform and Azul Platform Prime eliminates garbage collection pauses, enabling, for example, processing thousands of financial transactions per second in the low milliseconds range while scaling to petabytes of data.”
See benchmarks from a credit card payment system using the commercially supported version of Apache Ignite from GridGain alongside Azul Platform Prime.
224% ROI and payback in under 3 months for Azul Platform Prime.
Forrester Consulting conducted a Total Economic Impact™ study to evaluate Azul Platform Prime’s TCO and ROI over three years. The results are pretty mind-blowing.
Azul delivers the turbocharged performance you need to handle the scale of Java-based big data while actually reducing your infrastructure requirements.