DataStax Enterprise Graph Introduced 

SANTA CLARA, Calilf., April 12 -- DataStax, the leading provider of database software for cloud applications, today announced DataStax Enterprise (DSE) Graph, a scale-out graph database built for cloud applications that need to manage highly connected data. Built on the foundation of Apache Cassandra and Apache TinkerPop, the open source graph computing framework, DSE Graph delivers continuous uptime, predictable performance and scalability for modern systems dealing with complex and constantly changing data. DSE Graph will be generally available in Q2.

Introducing DataStax Enterprise Graph

DataStax Graph is inspired by the open source Titan graph database. Aurelius, the team behind Titian was acquired by DataStax in 2015 and the team has built a new set of software that extends significantly beyond the basic capabilities of Titan while still maintaining backwards compatibility. This backwards compatibility allows existing Titan and other users of TinkerPop supported graph databases to migrate with little or no effort. DSE Graph inherits Cassandra's key benefits including constant uptime, read/write/active-everywhere functionality, linear scalability, predictable low-latency response times and operational maturity. DSE Graph also incorporates enterprise-class extensions found in DataStax Enterprise including advanced security, built-in analytics, enterprise search, visual management monitoring and development tooling.

DataStax Enterprise Graph is a complete solution for developing and managing graph functionality in cloud applications and includes:

• DataStax Enterprise Server: delivers advanced graph database functionality that includes an adaptive query optimizer, automatic graph data partitioning, a distributed query execution engine, and graph-specific index structures all designed to increase performance for online graph applications. DSE Graph is built with TinkerPop, which is the industry standard framework and language for graph databases.
• DataStax OpsCenter: updated to provide full provisioning, management and monitoring for DSE Graph.
• DataStax Studio: a new web-based solution that helps developers visualize graphs and write/execute graph queries.
• DataStax Drivers: available for all popular development languages and enhanced to support the Gremlin graph language in addition to CQL and DSE Analytics/Search API's.

Graph-Specific Use Cases

There are a variety of use cases where a graph database is a better fit than other database management systems including relational or general NoSQL database systems.

• Master Data Management: A company must understand the data relationships across its multiple business units to create a holistic view of its customers. A graph model consolidates disparate data for use by both business intelligence tools and business applications.
• Recommendation and Personalization: Enterprises need to understand how to quickly and effectively influence customers to purchase their product. Graph analysis is the most effective tool for handling recommendation and personalization tasks in an application and making key decisions from the value found in data.
• Security and Fraud Detection: In a complex and highly interrelated network of users, entities, transactions, events and interactions, a graph database can help determine which interaction is fraudulent, poses a security risk or compliance concern.
• IoT and Networking: As IoT use cases commonly involve devices or machines that generate time-series information such as event and status data, graph databases work well because the streams from individual points create a high degree of complexity when blended together. Additionally, analytics involved in tasks such as root cause analysis, involve numerous relationships that form along the data elements and tend to be of much greater interest when examined collectively versus in isolation.

Solving Business Problems with Multi-Model Support

 As stated in the August 4, 2015 report, "Market Guide for NoSQL DBMSs," authored by Gartner analysts Nick Heudecker, Merv Adrian and Etisham Zaidi, "the future of DBMS architectures and deployments will be multimodels." Gartner also states "by 2017, all leading operational DBMSs will offer multiple data models, relational and NoSQL, in a single platform."

Because today's modern cloud workloads involve numerous components that differ in their data model support requirements, a database that provides multi-model capabilities will deliver a simplified and more agile solution for quickly bringing cloud applications to market. DSE Graph, part of DSE's multi-model platform, provides support for Cassandra's key-value and tabular data models, JSON/document models and graph, with each data model inheriting Cassandra's key benefits and DSE's enterprise grade functionality.

Availability 

DSE Graph will be sold as an option to either a DSE Standard or DSE Max subscription and will be generally available in Q2.

To learn more about DSE Graph, please join us at DataStax Summit Europe taking place April 19-20, 2016 in London.

About DataStax

DataStax, the leading provider of database software for cloud applications, accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications that require data distribution across datacenters and clouds, by using our secure, operationally simple platform built on Apache Cassandra.

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Source: DataStax