Google is hosting a version of its Cloud Next conference in Tokyo this week, and it’s putting the focus squarely on tweaking its databases for AI workloads (because at this point in 2024, AI is the ...

Secure business data in the cloud using encryption, access controls, monitoring tools, and multi-cloud strategies to reduce ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

With Cloud DB, users can choose from leading open-source database engines, such as PostgreSQL and MySQL, all managed through ...

Today’s enterprises continue to invest aggressively in “cloud-first” strategies and architectures. All industries and verticals are adopting cloud services across all layers of cloud deployment models ...

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.

Google Cloud said today it’s updating multiple database services, including AlloyDB, Spanner and Memorystore for Valkey 7.2, with new features that should make them more suitable for generative ...

AI economics are exposing a gap between what people think the cloud costs and what the cloud actually costs. A North American ...

It would seem that the adoption of cloud databases – those delivered via a cloud consumption model – is ramping up. According to Gartner, the transition of DBMS software purchasing – moving from ...

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, ...