Neo Technology and Azul Systems Partner on Big Graph Databases

Azul Systems, the award-winning leader in Java runtime Scalability Scalability Scalability is a term that describes the constraints of a network via hash rates to meet increased demand. In the context of Bitcoin, scalability reflects the issue in which a limited rate can process transactions adequately.Blocks within the Bitcoin blockchain are limited in both size and frequency. The overall transaction processing capacity of the network is dictated by the average block creation time of 10 minutes as well as a block size limit of 1 megabyte. Consequently, this leads to pain Scalability is a term that describes the constraints of a network via hash rates to meet increased demand. In the context of Bitcoin, scalability reflects the issue in which a limited rate can process transactions adequately.Blocks within the Bitcoin blockchain are limited in both size and frequency. The overall transaction processing capacity of the network is dictated by the average block creation time of 10 minutes as well as a block size limit of 1 megabyte. Consequently, this leads to pain Read this Term and Neo Technology, creators of Neo4j, the world’s leading graph database, today announced that Neo Technology is now a member of Azul’s ISV partner program. The two companies are working together to target key vertical markets where performance and responsiveness of large graph databases are essential.

Unlike relational and other types of NoSQL databases, graph databases, such as the industry-leading Neo4j, provide extremely fast access to the types of complex data found in social networks, recommendation engines and other networked systems. Graph databases are optimized for in-memory operations. Being able to push the limits of memory usage-- whether for a single machine or a large cluster-- is key to meeting the performance needs of customers, be it a wireless operator, a financial trading systems, gaming, or social media.

Azul Systems’ advanced Java technology enables applications to overcome the performance and scalability limitations of traditional Java runtimes, making extremely large in-memory datasets practical – without the glitches and pauses that can plague applications using traditional Java Virtual Machines (JVMs). Azul’s Zing JVM eliminates garbage collection (GC) pauses as an issue for even the largest memory-based computing systems, delivering consistently low response times. Zing also eliminates the need for the lengthy and laborious JVM tuning that is typically required with Java application development, helping applications get into production faster.

“With Zing, Neo4j can maintain smooth, interactive and responsive operations across a wider range of operational scenarios, supporting pause-free heap-resident operation when dealing with Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econome Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econome Read this Term,” Gil Tene, Azul Systems co-founder and CTO said. “Businesses can now apply in-memory graph database technologies like Neo4j to more real time business uses, significantly expanding the practical data set sizes such technology can process without loss of responsiveness and interactivity.”

The key benefits using Zing with Neo4j include the following:

● Guaranteed performance and response time consistency with very large in-memory datasets

● Scaling beyond the Java heap limitations of traditional JVMs for extremely large graphs. Zing readily supports massive Java heaps of hundreds of Gigabytes – with an essentially flat, low latency curve, which is ideal for high-performing multi-terabyte graphs

● Improve time to deployment by reducing time-intensive JVM tuning

Philip Rathle, Senior Director of Products for Neo Technology, said: “Big data and large graphs are a sweet spot for Neo4j. Azul’s proven technology for JVM performance makes Zing a great match for Neo4j, which leverages in-memory processing. Azul will help our largest customers push past the limits of today’s JVM technology.”

Scott Sellers, CEO of Azul Systems, said: “We are delighted to welcome Neo Technology into our ISV program. By combining the world’s leading graph database with Zing, developers can now build and deploy Neo4j-based systems that can span hundreds of Gigabytes of memory while delivering results with consistent, millisecond-level latency.”