IBM Launches A Cloud Data And Analytics Marketplace For Developers

IBM Launches A Cloud Data And Analytics Marketplace For Developers

IBM adds to their Cloud Data Services

There are certain topics in B2B technology that have staying power.  Cloud computing and big data are two of these. IBM today announced a broad expansion of its Cloud Data Services portfolio with more than 25 services now available to developers and data scientists.These create a one-stop-shop for accessing and exploring data and for building and deploying applications. They can help developers build, deploy and manage web and mobile applications and also enable data scientists to discover hidden trends using data and analytics in the cloud.

In line with the recent trend of commercial tech companies embracing the open source ethos (or at least components of it), these 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.

IBM’s new cloud services include:

  • 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 for extending 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.

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