Deliberate acquisition furthers IBM’s constancy to open-source innovation; is helping shoppers get entry to untapped, unstructured undertaking information to maximise the have an effect on of generative AI

ARMONK, N.Y., Feb. 25, 2025 /PRNewswire/ — IBM (NYSE: IBM) as of late is saying its intent to procure DataStax, an AI and information answer supplier. DataStax’s generation will toughen IBM’s watsonx portfolio of goods accelerating the utility of generative AI, serving to firms free up worth from giant quantities of unstructured information.

The purchase additionally builds on IBM’s constancy to open-source AI. DataStax is the author of AstraDB and DataStax Endeavor, NoSQL and vector database features powered through Apache Cassandra®; and Langflow, the open-source software and public for low-code AI software construction.

IBM will proceed to aid, have interaction, and innovate with the open-source Apache Cassandra®, Langflow, Apache Pulsar™, and OpenSearch communities through which DataStax participates. IBM’s long-standing constancy to open-source AI comprises the open-source IBM Granite base fashions and Instruct Lab, a modern strategy to advancing true open-source innovation round LLMs.

Harnessing unstructured information for the undertaking

Companies are suffering to harness significance, unstructured information from throughout their trade, which is important for powering generative AI. With out gear to correctly ingest and supremacy this untapped information, expensive generative AI tasks will fail in order their complete possible. Even 70% of businesses with high-performing generative AI projects enjoy data-related difficulties, according to McKinsey, and it’s estimated that only one % of undertaking information is represented in as of late’s AI fashions. 

IBM is a pacesetter in serving to shoppers scale generative AI and change into their trade the use of undertaking information. The purchase of DataStax complements those efforts. Their vector database excels at harnessing unstructured undertaking information and accelerating its month to price, and Langflow supplies a graphical, low-code design circumstance and property orchestration for generative AI apps that facilitates collaboration throughout various skillsets.

• AstraDB and DataStax Enterprise serve NoSQL and vector database features powered through Apache Cassandra®, enabling production-ready generative AI programs for the undertaking. AstraDB will toughen the present vector features of IBM watsonx.data, IBM’s hybrid, i’m free information lakehouse for AI and analytics. Hundreds of organizations utility Apache Cassandra®, together with one of the crucial largest names in instrument, retail, finance, and ecommerce. Apache Cassandra® supplies scalability, availability, fault tolerance, majestic efficiency, and multi-data-center and hybrid cloud aid. And increasingly more, Apache Cassandra® customers are leveraging the database for AI workloads. On this context, DataStax brings in combination a mature datastore with vector and graphRAG features – a important mixture for harnessing unstructured information for generative AI
• Langflow is a low-code, open-source app builder for RAG and multi-agent AI programs. It’s Python-based and model-, API-, and database-agnostic. Langflow provides alternative versatile middleware features to IBM watsonx.ai, the built-in, end-to-end AI construction studio for construction generative AI programs

“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 Tool. “DataStax possesses deep competency in this area and shares IBM’s relentless commitment to simplifying and scaling generative AI for the enterprise.”    

“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.” 

DataStax’s masses of shoppers come with FedEx, Capital One, The House Locker and Verizon. DataStax used to be based in 2010 and is headquartered in Santa Clara, CA. 

Monetary main points of the transaction weren’t disclosed.  The purchase is predicted to near in the second one quarter of 2025, matter to commonplace latter situations and regulatory approvals.  

About IBM
IBM is a important supplier of worldwide hybrid cloud and AI, and consulting experience. We assistance shoppers in additional than 175 international locations capitalize on insights from their information, streamline trade processes, shed prices, and achieve a aggressive edge of their industries. Hundreds of governments and company entities in important infrastructure subjects akin to monetary services and products, telecommunications and healthcare depend on IBM’s hybrid cloud platform and Pink Hat OpenShift to have an effect on their virtual transformations briefly, successfully, and securely. IBM’s leap forward inventions in AI, quantum computing, industry-specific cloud answers and consulting ship i’m free and versatile choices to our shoppers. All of that is subsidized through IBM’s long-standing constancy to consider, transparency, duty, inclusivity, and repair. Discuss with www.ibm.com for more info.

Media touch:
Kevin Zawacki
Communications, IBM Tool
[email protected]  

SOURCE IBM