In addition to self-service capabilities for everything from data preparation, migration, and integration, to tools for advanced data exploration and modelling, IBM introduced the following new Cloud data services:
"Data is the common thread within the enterprise, regardless of where its source might be. In the past, data handlers have relied on disparate systems for data needs, but our goal is to move data into the future by providing a one-stop shop to access, build, develop and explore data", stated Derek Schoettle, General Manager, Analytics Platform and Cloud Data Services. "IBM's integrated Cloud Data Services give developers greater scalability and flexibility to build, deploy and manage web and mobile Cloud applications, and enable data scientists to apply information across businesses efficiently."
IBM Graph delivers the only enterprise-grade graph database as a service, built on Apache TinkerPop, the leading open source graph technology stack. Provided as a service, IBM Graph helps remove the complexities traditionally associated with moving data from existing databases to graph architectures.
"It is good to see Apache TinkerPop and the Gremlin graph traversal language being adopted as the primary interface to IBM's Graph service", stated Marko A. Rodriguez, Apache TinkerPop Project Management Committee member. "IBM was instrumental in pushing TinkerPop to join the Apache Software Foundation which is important because Apache provides a commercial-friendly license and a tried-and-true open source development model that has done wonders for TinkerPop's software and community. I hope other large enterprises follow IBM's decision to leverage Apache TinkerPop in their respective graph products and services."
The new offerings build on IBM's significant investment in Apache Spark and further complement its mission to provide enterprise class support for open source developers and data handlers of any level. IBM has redesigned more than 25 of the company's core analytics and commerce solutions with Apache Spark - helping to dramatically accelerate their real-time processing capabilities.