Java runtime specialist Azul Systems has announced new partnerships designed to expand opportunities for the Azul Zing Java Virtual Machine (JVM) into new "business-critical" solutions, including big data, in-memory computing, enterprise data grids, and cloud computing.
The firm is working to engineer "unprecedented application scalability" and reflect the advantages of the Zing JVM; namely, ultra-low latency transactions, highly consistent application response time consistency and fast time-to-deployment through what Azul likes to denote as "simplified configurations" in usage.
"Zing was designed to eliminate the response time and scalability challenges caused by Java Garbage Collection in even the most demanding applications. By partnering with Azul, commercial software vendors and open source developers are gaining tremendous advantages over their competitors by delivering high levels of scalability, ultra-low latency, and uninterrupted performance across a variety of industry sectors — without making changes to their existing code," said Scott Sellers, Azul Systems president and CEO.
The new Azul partnerships, including graph DB vendor Neo Technology, are said to reflect the growing enterprise demand for faster performance and greater scalability via new in-memory computing technologies. Big Data partners, such as GridGain and Drawn to Scale, reflect the enterprise's growing appetite for processing massive amounts of data in less time. New alliances with PaaS vendor CumuLogic and cloud identity management specialist UnBoundID highlight the importance of application scale and elasticity in cloud environments. Finally, Azul teams up with the leading Complex Event Processing (CEP) provider StreamBase Systems to help businesses in the financial services and gaming industries operate real-time analytics on streaming data and provide continuous, push-based business intelligence.
