Google LLC’s cloud division is rolling out new database and data cloud innovations to support customers building and scaling artificial intelligence applications to ensure that they are grounded in ...

An operating system on top of a distributed database, DBOS is a tantalizing glimpse of something that may eventually turn out to be cool. At the end of March 2024, Mike Stonebraker announced in a blog ...

Seeweb introduces Cloud DB, its new Database as a Service (DBaaS) platform designed to deliver scalable, secure, and automated database management. The solution is ideal for mission-critical ...

There is a growing urgency to adopt cloud services to buttress today’s rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling ...

The “walled garden” model of cloud computing is not long for this world. Businesses and governmental organizations are getting a lot savvier about the technology and are demanding more choice and ...

The concept of edge-first intelligence entails embedding critical data and inference models directly into the application or ...

With an emphasis on AI-first strategy and improving Google Cloud databases' capability to support GenAI applications, Google announced developments in the integration of generative AI with databases.

For several years now, cloud computing has been heralded as the ultimate solution for IT infrastructure, promising scalability, flexibility, and cost savings. Organizations of all sizes rushed to the ...

Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...

MariaDB Enterprise Platform 2026 powers modern AI application development by uniting transactional and analytical workloads with native vector search, built-in RAG and intelligent agents – all on the ...

Cloud databases, also known as Database as a Service (DBaaS), offer a range of benefits for developers, particularly in terms of ease of use, deployment options, disaster recovery, and scalability.

Enabling your existing “pre-cloud” enterprise applications to take full advantage of cloud computing is fraught with technical obstacles, such as unsupported versions of operating systems (OS), ...