IBM has launched a suite of open source cloud services designed to give developers greater scalability and flexibility to build, deploy and manage web and mobile cloud applications, and to help data scientists discover hidden trends impacting the bottom line, using data and analytics in the cloud.
“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.
Bringing their Cloud Data Services portfolio to more than 25, the new services include enabling self-service capabilities as well as advanced data exploration and modelling tools. Key new services include:
- IBM Compose Enterprise: Accelerates timelines for developers building web-scale apps.
- IBM Graph: Provides developers with a complete stack to extend business-ready apps with real-time recommendations, fraud detection, IoT and network analysis.
- IBM Predictive Analytics: Simplifies the process for developers to build machine learning models from a broad library into applications to help deliver predictions for specific product use cases.
- IBM Analytics Exchange: Includes a catalogue of more than 150 publicly available datasets for analysis or integration into applications.
The new services are part of IBM’s redesign of many of its analytics and commerce solutions with Apache Spark in an effort to accelerate their real-time processing capabilities.