DataStax competes with a variety of large database vendors including Oracle and MongoDB and has development partnerships with core cloud vendors such as Amazon, Google Cloud, and Microsoft Azure. The ...

A robust database is the key to building high-performing and scalable web applications. Whether you are building a simple ...

Thanks to the economies of scale and business mix shift to the cloud, we model a total of 600 basis points of operating margin expansion between fiscal 2024 and 2034. We also think that Oracle’s ...

With its Cyber Protect 16 launch, Acro­nis debuted updates including a simplified central dashboard as well as enhanced AI-powered capabilities ... of data in IBM’s Db2 database engine.

Multi-modal AI support, faster chips and AI accelerators are among forthcoming mainframe upgrades that promise big changes.

IBM ups its AI game by adding experimental chain-of-thought reasoning capabilities to its latest large language model, ...

DataStax’s AstraDB will enhance the existing vector capabilities of IBM watsonx.data, while Langflow will add flexible ...

A one-pager explanation on why the DataStax acquisition will give IBM an edge in the race to streamline GenAI development.

IBM has announced the planned acquisition AI and data solutions provider DataStax, in a move aimed at enhancing its watsonx ...

IBM has recently released the Granite 3.2 series of open-source AI models, enhancing inference capabilities and introducing ...

Last year, DataStax debuted a new enterprise-grade AI development platform that integrates Nvidia Corp.’s AI Enterprise software suite. It’s called the DataStax AI Platform, Built with Nvidia, and the ...