IBM Launches Cloud Data and Analytics Marketplace for Developers

Feb 09, 2016

IBM announced a broad expansion of its Cloud Data Services portfolio with more than 25 services now available on the IBM Cloud. The services 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 allow data to flow among 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.
  • IBM Graph:A managed graph database service built on ApacheTinkerPop 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.

The new offerings build on IBM's 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.