DataStax, provider of an enterprise version of the Apache Cassandra distributed database, has partnered with Azul Systems, provider of the Zing Java virtual machine (JVM). The partnership allows DataStax to provide its customers with a combined technology platform on which to build low-latency data management solutions for applications that require increasing amounts of in-memory data such as fraud detection.
The companies have worked together for several years and have formalised their arrangements in a partnership by naming Zing as a certified JVM for DataStax Enterprise, assuring DataStax users of ongoing development of the DataStax Enterprise and Azul Zing technology stack. Using Zing as the JVM for real-time Cassandra deployments allows the distributed database to operate more consistently as Zing eliminates response time delays that can be caused by JVM garbage collection pauses. It also allows each Cassandra node to use up to 1 Terabyte of in-memory data while still delivering response times below 20 milliseconds.
Gil Tene, chief technology officer and co-founder of Azul, says: “We are at the intersection of financial services and big data. We are seeing a significant increase in the number of people looking at moving big data processing from batch to embedding it in business processes, perhaps to get answers to questions in seconds or to ensure up-to-date analytics for trading. Cassandra works at appropriate latencies for these types of things, and using Zing with Cassandra provides consistency that is not available elsewhere. This combination is fast all the time, not just fast.”
Matt Rollender, vice president of infrastructure and ecosystem development at DataStax, adds: “DataStax is the distributed database management solution of choice for enterprises. With our partners we offer innovative solutions that complement our technology. We are pushing the envelope with Azul by delivering an incredible boost in performance.”
The partnership between DataStax and Azul is the latter’s first with a commercial provider of Cassandra, although it expects to make more ties as alternative enterprise versions of the open source software emerge. It continues to work with companies using the free, open source version of Cassandra.