DataStax Introduces Graph Database Solution for the Cloud

DataStax, provider of database software for cloud applications, is releasing a scale-out graph database solution built for cloud applications, providing users with a new tool for maintaining their highly connected data.

“Relational databases were built to join different data together, it’s very limited,” said Martin Van Ryswyk, EVP of engineering at Datastax. “We believe that the right way to do a  truly enterprise scalable graph database requires a couple things and one of them is the power we get from tying this to the underlying Cassandra database lets us piggyback off of what has already been proven to be the best distributed data platform out there.”

Built on the foundation of Apache Cassandra and Apache TinkerPop the open source graph computing framework, DataStax Enterprise Graph, delivers continuous uptime, predictable performance and scalability for modern systems dealing with complex and constantly changing data, according to the company.

The concept for DataStax Graph was inspired by the open source Titan graph database, and the platform will allow existing Titan and other users of TinkerPop-supported graph databases to migrate with little or no effort, according to the company.

DataStax Enterprise Graph offers a variety of benefits including an advanced graph database functionality that includes an adaptive query optimizer, automatic graph data partitioning, a distributed query execution engine, and graph-specific index structures; DataStax OpsCenter is updated to provide full provisioning, management, and monitoring for DSE Graph; access to DataStax Studio which is a new web-based solution that helps developers visualize graphs and write/execute graph queries; access to DataStax Drivers that are available for popular development languages and enhanced to support the Gremlin graph language in addition to CQL and DSE Analytics/Search API’s;  enhanced master data management; the ability to leverage recommendation and personalization tasks, upgraded security and fraud detection; and new IoT and networking features.

A diverse set of users will benefit from this, according to Ryswyk. “We’re going to apply all of the heft of DataStax behind this graph offering and then from there we go to listening to our customers, finding out what they’re doing that we haven’t thought of,” Ryswyk said. “We’ve had great feedback.”

It’s not just a fast, bigger, more scalable platform; it’s enabling people who need a database to do things that before weren’t possible, noted Matthias Broecheler, director of engineering for DSE Graph.

For more information on DataStax Enterprise Graph, visit