DataStax buys Langflow, a low-code AI firm

DataStax has established a reputation by monetizing the open-source Apache Cassandra NoSQL database. However, the company now concentrates on leveraging its expertise in databases to develop a comprehensive “one-stop GenAI stack.” Last summer, the company added vector search capabilities to its hosted Astra DB service, which was a crucial step in its development. In its journey towards developing GenAI applications supported by Retrieval-Augmented Generation (RAG), the company has expanded its stack. Today, the company made a significant move in this direction by acquiring Logspace, the company responsible for Langflow, a low-code tool used for building RAG-based applications.

DataStax has chosen not to disclose the price of the acquisition.

Logspace was founded in 2022 with the goal of assisting businesses in integrating machine learning into their operations. In the beginning, the company focused more on providing consulting services than developing products. Rodrigo Nader, the co-founder and CEO of Logspace, has prior experience tackling machine learning challenges at Bitvore, an enterprise AI company. He worked alongside Gabriel Luiz Freitas Almeida, the co-founder and CTO of Logspace. They funded the company themselves, and by 2023, the founding team had launched Langflow, which gained momentum as an early open source low-code/no-code tool for creating GenAI apps.

According to Chet Kapoor, the CEO and chairman of DataStax, this acquisition will offer Langflow and DataStax developers more resources and integrations to enhance their applications and align them with their ambitious goals. Langflow’s mission is to make generative AI development accessible and efficient for all developers and companies. By partnering with DataStax, we are empowering developers to quickly bring their innovative generative AI concepts to fruition.

The DataStax team claims that this acquisition successfully fulfills their goal of creating a comprehensive generative AI stack. With its latest update, the platform now provides users with a comprehensive tool that seamlessly integrates DataStax’s Astra DB and other useful tools like the LangChain toolkit and LlamaIndex. Additionally, it offers a user-friendly visual editor for creating GenAI chatbots for both internal and external purposes.

Langflow will continue to operate independently, ensuring that existing users will not experience any immediate alterations.

“We are thrilled to be joining the DataStax team and enhancing our capacity to expand the Langflow platform. This will allow us to reach a wider audience of researchers, developers, enterprises, and entrepreneurs who are focused on generative AI applications,” Nader expressed. “With DataStax, our complete focus will be on executing our product vision and roadmap and collaborating with the community. We will consistently expand our range of integrations across various AI ecosystem projects and products. This includes incorporating additional data sources and databases, models, applications, and APIs.”