IBM today
announced a broad expansion of its Cloud Data Services portfolio
with more than 25 services now available on the IBM Cloud.
They are designed to help developers build, deploy and manage web and mobile
applications and enable data scientists to discover hidden trends using data
and analytics in the cloud. The hybrid cloud services can be deployed across
multiple cloud providers and are based on open source technologies, open
ecosystems that include company and third-party data, and open architectures
that allows data to easily flow amongst the different services.
In addition to self-service capabilities for everything from data
preparation, migration, and integration, to tools for advanced data exploration
and modeling, IBM introduced the following new cloud data services today:
- IBM Compose Enterprise: A managed platform designed to
help development teams build modern web-scale apps faster by enabling them to
deploy business-ready open source databases in minutes on their own dedicated
cloud servers.
- IBM Graph: The first fully managed graph database service
built on Apache® TinkerPop that provides developers a complete stack to
extend business-ready apps with real-time recommendations, fraud detection, IoT
and network analysis uses.
- IBM Predictive Analytics: A service that allows
developers to easily self-build machine learning models from a broad library
into applications to help deliver predictions for specific product use cases,
without the help of a data scientist.
- IBM Analytics Exchange: An open data exchange that
includes a catalog of more than 150 publicly available datasets that can be
used for analysis or integrated into applications.
"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," said
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," said 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 ApacheSpark- helping to
dramatically accelerate their real-time processing capabilities.
For more information on IBM's Cloud Data Services portfolio,
please visit: www.ibm.biz/open-for-data.
For more information on IBM Analytics, please visit www.ibm.com/analytics.