IBM strikes $11 billion deal to acquire Confluent
In one of IBM’s largest acquisitions since its $34 billion purchase of Red Hat in 2019, IBM this morning boosted its cloud computing strategy with an $11 billion acquisition of data streaming platform Confluent.
In a bid to create a “smart data platform” for enterprise generative AI, Confluent’s Apache Kafka open-source enterprise data streaming platform will help IBM manage the massive, real-time data streams that define AI models. Because enterprise data is spread across public and private clouds, data centers and many technology providers, IBM hopes the deal will help enterprises more effectively integrate their data into AI models.
It’s a deal that aligns with IBM CEO Arvind Krishna’s ongoing vision to develop recurring revenue streams from high-margin, open-source software, as is the case with Red Hat and now Confluent. In the announcement, Krishna said, “IBM and Confluent together will enable enterprises to deploy generative and agentic AI better and faster by providing trusted communication and data flow between environments, applications and APIs.”
With the acquisition of Confluent, IBM plans to enable end-to-end integration of applications, analytics, data systems and AI agent, which will “drive intelligence and resilience in hybrid cloud environments.”
Susana Schwartz
Technology Editor
RCRTech
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