IBM to acquire StreamSets and webMethods platforms from Software AG

image of IBM building | StreamSets and webMethods

IBM has entered into a definitive agreement with Software AG to purchase StreamSets and webMethods, Software AG’s Super iPaaS (integration platform-as-a-service) ERP platforms for €2.13bn.

With the acquisition of StreamSets and webMethods, IBM is aiming to further enhance its investment in AI and hybrid cloud.

StreamSets will add data ingestion capabilities to watsonx, IBM’s AI and data platform, while webMethods will provide clients and partners with additional integration and API management tools for their hybrid multi-cloud environments.

The core offerings include StreamSets, a cloud-native DataOps and data ingestion platform to allow enterprises to gain consistent access and delivery of data across a wide spectrum of data sources and types, as well as webMethods, an integration and API management platform. Deployed both on-prem and in the cloud, the integration platform offers B2B integration and managed file transfer while providing a modern API gateway to manage, monitor and monetize APIs.

Rob Thomas, senior vice president, Software and chief commercial officer, IBM, said: “Together with IBM’s watsonx AI and data platform, as well as its application modernization, data fabric and IT automation products, StreamSets and webMethods will help clients unlock the full potential of their applications and data. This powerful combination helps drive innovation while preparing businesses for AI, no matter where applications or data reside.

“Today’s news will give IBM clients and partners one of the most modern and comprehensive application and data integration platforms in the industry.”

Sanjay Brahmawar, CEO of Software AG, said: “IBM is the ideal home for webMethods and StreamSets, the products at the heart of our Super iPaaS vision.

“Combined with IBM’s global scale and focus on hybrid cloud and AI, our people will have a fantastic opportunity to develop while helping enterprises everywhere get the most out of their applications and data.”