Azul Systems and Neo Technology Announce Collaboration on the ISV Partner Program Run by Azul

The award winner leader in the JAVA runtime scalability, Azul Systems and Neo Technology, the creators of the Neo4j, which is the leading graph database in the world, have announced that Neo Technology is now a member of the ISV partner program run by the Azul. These two companies are currently working towards targeting key vertical markets where the performance and responsiveness of the large graph databases are extremely important.

The graph databases provide an extremely fast access to the types of complex data which is often found in the social networks, different networked systems and recommendation engines. In that sense, the graph databases are better than the relational and other types of NoSQL databases. These graph databases are optimized for the in-memory operations. It is important to push the limits of possible memory usage, whether it’s for a single machine or a large cluster for meeting the performance needs of the customers, be it the wireless operators, the financial trading systems, social media sites or the gaming operations.

On the other hand, the advanced JAVA technology of the Azul Systems enabled various applications to overcome the performance and scalability limitations of the traditional JAVA runtimes, thereby making extremely large in memory datasets practical. This is free of glitches and pauses which can plague applications, generally experienced in traditional JAVA Virtual Machines, also known as JVMs. The Zing JVM of Azul eliminates garbage collection pauses as an issue even for the biggest memory based computer systems, thereby helping to result into consistently low response times. Zing also eliminates any need of the lengthy and laborious JVM tuning which is generally required with the JAVA application development, thereby helping the applications to get into production stage as fast as possible.

According to the co-founder and CTO of Azul Systems, Gil Tene, thanks to Zing, it is possible for Neo4j to maintain interactive, smooth and responsive operations across a pretty wide range of operational scenario, thereby supporting pause free heap resident operation when it deals with large chunk of data. Tene added that different businesses will now be able to apply in memory graph database technologies such as Neo4j to more real time business uses, thereby expanding the practical data set sizes which such technology can process without any sort of loss in interactivity or responsiveness.