IBM has expanded its Cloud Data Services portfolio with more than 25 services on the IBM Cloud and more than 150 publically available datasets for use in web projects. The new 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 new 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.
The new cloud data services include:
- IBM Compose Enterprise: A managed platform designed to help development teams build web-scale apps faster using open source databases on their own dedicated cloud servers.
- IBM Graph: The first fully managed graph database service built on Apache TinkerPop and aimed at creating apps for real-time recommendations, fraud detection, IoT and network analysis uses.
- IBM Predictive Analytics: A end-user aimed service that allows developers to easily self-build machine learning models into applications, delivering predictions for specific product use cases, without the help of a data scientist.
- IBM Analytics Exchange: An open data exchange that includes a catalogue 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."