IBM has announced its plan to acquire DataStax, an advanced AI and data solutions provider to enhance the capabilities of IBM’s watsonx portfolio, particularly in the realm of generative AI, enabling enterprises to derive actionable insights from extensive unstructured data sets.
The financial details of the transaction remain disclosed and are expected to close in the second quarter of 2025.
DataStax brings its advanced technology, including AstraDB and DataStax Enterprise, both of which are built on the highly scalable NoSQL and vector database architecture powered by Apache Cassandra. Additionally, DataStax contributes to the ecosystem with Langflow, an open-source tool designed for low-code AI application development.
“Enterprises want to deliver production AI fast, but are still struggling to unlock the value in their data to power AI applications and agents,” says Chet Kapoor, Chairman and CEO of DataStax. “DataStax’s products solve this problem, accelerating AI’s promise with the scalability, security, and accuracy developers and enterprises need. We’ve long said that there is no AI without data, and are excited to execute this vision with IBM.”
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IBM will continue to support, engage, and innovate with the open-source Apache Cassandra®, Langflow, Apache Pulsar™, and OpenSearch communities in which DataStax participates. IBM’s long-standing commitment to open-source AI includes the open-source IBM Granite foundation models and Instruct Lab, a revolutionary approach to advancing true open-source innovation around LLMs.
“Businesses cannot realize the full potential of generative AI without the right infrastructure – open-source tools and technologies that empower developers, harness unstructured data, and provide a strong foundation for AI applications,” says Dinesh Nirmal, Senior Vice President, IBM Software. “DataStax possesses deep competency in this area and shares IBM’s relentless commitment to simplifying and scaling generative AI for the enterprise.”
