What is DataStax Careers
Leading data management firm DataStax focusses on AI-powered real-time solutions. DataStax offers scalable, high-performance database solutions designed for businesses requiring dependable, low-latency data processing. It is based on the open-source Apache Cassandra database.
IBM will acquire DataStax, expanding Watsonx’s capabilities and meeting the enterprise’s generative AI data needs.
IBM announced its intention to purchase DataStax, a provider of data and Artificial Intelligence solutions. IBM’s Watsonx product line will benefit from DataStax’s technology, which will speed up the use of generative AI and assist businesses in extracting value from massive volumes of unstructured data.
Additionally, the purchase strengthens IBM’s dedication to open-source AI. DataStax Careers is the developer of the open-source tool and community for low-code Artificial Intelligence application development, Langflow, as well as AstraDB and DataStax Careers Enterprise, which are NoSQL and vector database capabilities driven by Apache Cassandra.
DataStax Careers is a component of the open-source Apache Cassandra, Langflow, Apache Pulsar, and OpenSearch communities, all of which IBM will continue to support, interact with, and innovate with. The open-source IBM Granite foundation models and Instruct Lab, a ground-breaking strategy for promoting genuine open-source innovation around LLMs, are two examples of IBM’s longstanding dedication to open-source AI.
Harnessing unstructured data for the enterprise
Companies are finding it difficult to collect useful, unstructured data from all areas of their operations, which is essential for generative AI. Expensive generative AI efforts will fall short of their full potential if they lack the necessary tools to effectively absorb and handle this untapped data. Just 1% of company data is thought to be represented in AI models, and McKinsey reports that even 70% of businesses with successful generative AI programs face data-related challenges.
IBM is a pioneer in assisting customers with generative AI scaling and corporate data transformation. These initiatives are strengthened by the acquisition of DataStax Careers. Langflow offers a graphical, low-code design environment and component orchestration for generative AI apps that promotes collaboration across a range of skill sets, and its vector database is excellent at capturing unstructured corporate data and speeding up its time to value.
- Production-ready generative AI solutions for the enterprise are made possible by AstraDB and DataStax Enterprise, which offer NoSQL and vector database capabilities driven by Apache Cassandra. IBM Watsonx.data, the company’s open, hybrid data lakehouse for analytics and artificial intelligence, will have its current vector capabilities improved by AstraDB. Apache Cassandra is used by thousands of companies, including some of the largest brands in e-commerce, software, retail, and finance. Scalability, availability, fault tolerance, high performance, and support for many data centres and hybrid clouds are among features offered by Apache Cassandra. Additionally, users of Apache Cassandra are using the database more and more for AI tasks. In this case, DataStax Careers combines a sophisticated datastore with graphRAG and vector RAG capabilities, which is essential for using unstructured data for generative AI.
- Langflow is an open-source, low-code app builder for multi-agent AI and RAG applications. It is built on Python and is independent of models, APIs, and databases. IBM Watsonx.ai, the complete, end-to-end AI development studio for creating generative AI applications, now has more adaptable middleware features with Langflow.
“Open-source tools and technologies that empower developers, leverage unstructured data, and offer a solid basis for generative AI are needed for businesses to maximise its potential. IBM Software AI applications DataStax Careers possesses deep competency in this area and shares IBM’s relentless commitment to simplifying and scaling generative AI for the enterprise.
“Enterprises demand production AI fast yet struggle to extract data value for AI applications. and agents.” With the scalability, security, and accuracy that developers and businesses want, DataStax’s tools address this issue and accelerate AI’s potential. IBM is eager to work with IBM to realise it’s long-held belief that AI cannot exist without data.
FedEx, Capital One, The Home Depot, and Verizon are among the hundreds of clients of DataStax Careers. With headquarters in Santa Clara, California, DataStax was launched in 2010.
Financial details of the deal were not disclosed. The purchase should close in the second quarter of 2025, pending regulatory approvals and closing conditions.
