C24 and Azul Collaborate on In-Memory FpML Storage Solution

Azul Systems, Inc. and C24 Technologies have released an in-memory Financial Products Markup Language (FpML) storage solution which combines C24 Integration Objects (C24-iO) SDO message compaction technology with Azul’s pauseless Zing runtime for Java.

Using C24’s new SDO compaction technology, OTC message storage is reduced by more than 10x, enabling financial services institutions to slash their hardware requirement by up to 10x.

Because the new solution leverages the memory scalability of the Azul Zing runtime, accessing FpML data in memory is simplified.

Zing supports hundreds of gigabytes of memory in a single instance, allowing in-memory data grids which host the FpML data to scale with substantially fewer, but larger nodes, simplifying configuration and management and improving performance.

Because Zing has a pauseless garbage collector, response time consistency is guaranteed, no matter how much in-memory data is used, and thereby ensures real-time reporting of OTC derivative data.

Scott Sellers, Azul Systems co-founder and CEO, said: “C24’s SDO technology amplifies the benefits of Zing. By combining the two, the fears that many banks and investment houses might have concerning Java memory size and predictable performance are eradicated. Quite simply, C24 addresses big data memory utilization efficiency and Azul mitigates JVM-induced production issues such as jitter and Garbage Collection pauses.”

John Davies, CTO and co-founder, C24, said: “We’ve been working with Azul for over 10 years now, Zing is their flagship product which reduces GC jitter to almost zero. For our clients one of the biggest concerns about using Java over hardware or lower level languages like C and C++ is JVM memory management, which is good but largely unpredictable resulting in jitter and in many cases ‘stop- the-world’ garbage collection pauses. C24 SDO technology compacts traditional complex XML messages down to a tightly packed binary and wraps them with an ultra-efficient Java API, in most cases reducing the memory footprint for stored data by well over 10 times. The data can be searched or queried with very little object creation but the applications and solutions built on this technology run in Java and the only way to make that work with the sort of SLAs our clients need is with a JVM like Zing.”

Azul Systems, a company focused on Java and the Java VM, builds supported, standards-compliant Java runtime solutions that help enable the real time business.

C24 Technologies is a software company in financial services messaging and integration solutions.