The Data Integration Companies Quadrant provides an in-depth analysis of the global Data Integration market, highlighting the top 20 leaders among over 100 evaluated companies. This quadrant assesses ...

Security expert Brien Posey said the "data layer" is where an organization's most important information lives, making it a primary target for breaches, leakage and ransomware. He emphasized that many ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms—driven largely by the explosive rise of GenAI and large language ...

Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced that it has been recognized once again as a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for ...

In 2026, data engineering isn't just about managing data—it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

New AI tools from Anthropic sparked a broad sell-off in software and data stocks. Executives say fears are overblown, but analysts warn of margin and pricing pressure. Investors are reassessing which ...

Wedbush analyst Dan Ives is advising investors to buy the likely winners in the software sector as the market suddenly grapples with an exaggerated doomsday scenario for the group. Amid what he calls ...

At WSJ Invest Live, Jon Gray shared optimism for the health of the private-credit market and discussed Blackstone’s investment strategy in AI infrastructure. Investors’ fears that new developments in ...

NEW YORK/LONDON, Feb 3 (Reuters) - A significant selloff among U.S. and European data analytics, professional services and software companies deepened on Tuesday, with some investors pointing to a ...

There’s a wide range of reasons why many organizations are deciding to modernize their data architectures. But they all agree on one thing: by using data more effectively, more widely, and more deeply ...