Welcome!

Open Source Authors: Pat Romanski, Elizabeth White, Liz McMillan, Jnan Dash, Lacey Thoms

News Feed Item

Azul Systems Leverages Partner Ecosystem to Target New Innovative Solutions

New ISV Partner Alliances Provide Enterprise Solutions in Big Data, In-Memory Computing, Enterprise Data Grids, Complex Event Processing and Cloud Computing

SUNNYVALE, CA -- (Marketwire) -- 12/19/12 -- Azul Systems, the award-winning leader in Java runtime scalability, today announced new ISV partnerships that 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. New partnerships with industry leading ISVs are providing unprecedented application scalability and reflect the unique advantages of the Zing JVM -- ultra-low latency transactions, highly consistent application response time consistency, and fast time to deployment through simplified configurations.

Key new Azul partnerships, including graph DB vendor Neo Technology, 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.

"Zing provides Spire, our real-time operational SQL database for Big Data, an out-of-the-box, pre-tuned Java platform with optimal garbage collection, allowing our customers to utilize more of the memory in each server and operate more reliably while reducing the number of application instances needed for a given workload," said Ryan Rawson, Drawn to Scale VP of Engineering and well known HBase committer.

"The key to real-time big data is the ability to effectively manage very large in-memory data sets," said Jon Webster, VP of business development at GridGain. "The Zing JVM helps us to deliver the world's fastest MapReduce -- without risking the type of GC pauses inherent in all other Java runtimes."

Scott Sellers, Azul Systems president and CEO, added: "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."

ISVs interested in joining Azul's partner program can review program details at http://www.azulsystems.com/partners/partner-program-overview or email [email protected] for additional information.

About Azul Systems
Azul Systems delivers high-performance and elastic Java Virtual Machines (JVMs) with unsurpassed scalability, manageability and production-time visibility. Designed and optimized for x86 servers and enterprise-class workloads, Azul's Zing JVM is the only Java runtime that supports highly consistent and pauseless execution for throughput-intensive and QoS-sensitive Java applications. Azul's products enable organizations to dramatically simplify Java deployments with fewer instances, greater response time consistency, and dramatically better operating costs. http://www.azulsystems.com

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.