MDB and ORCL are racing to dominate AI-driven data infrastructure, each leveraging distinct architectures and cloud strategies to capture enterprise growth.

We started this year by discussing the various capabilities of Generative AI tools. We said there are capabilities for documents, audio, video, images, data, and code interpretation and generation.

Cloud outages show reliability isn’t guaranteed. Analysts warn enterprises to rethink multicloud strategy, redundancy, uptime ...

Since the rise of Database-as-a-Service (DBaaS), organizations have embraced the speed and automation it delivers—especially in public cloud environments. Keeper Security, a leading cybersecurity ...

The iconic Java framework has evolved and modernized, integrating a host of new features without sacrificing power or ...

Software specialist MongoDB Inc. ($MDB) has been one of 2025’s standout performers, surging more than 52% in 2025 thanks to ...

AvePoint, a global leader in data security, governance, and resilience, announced the addition of Azure data protection capabilities within AvePoint Elements, part of the Confidence Platform. Keeper ...

This week's Java roundup for November 3rd, 2025, features news highlighting: a new Jakarta AI specification; the fourteenth ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

Baseten launches a new AI training infrastructure platform that gives developers full control, slashes inference costs by up ...

The global AI arms race stays in constant flux, this time thanks to the arrival of a new model from the up-and-coming Chinese AI lab Moonshot.

Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...