One of the recurring themes in the area of enterprise IT these days is consolidation, and today we're getting another dose of it in the area of enterprise data management. Informatica -- which ...

When it comes to test data management and de-identification, how do Informatica and Tonic Structural compare? Explore the value of a modern, on-premises solution.

Informatica has long been a dominant force in enterprise data management. But the landscape is changing. Learn how its shift to cloud-only impacts its viability as a test data management tool.

Informatica is unveiling at this week’s Amazon re:Invent conference expanded links between the company’s data management services, including Informatica Data Loader and the Informatica Data ...

New support for API Center and compliance services bolster enterprise AI data readiness across Informatica’s Google Cloud Point-of-Delivery (Pods) "We're pleased to see the deepening relationship ...

Data management is hot again. Propelled by the artificial intelligence infusion, the new era promises productivity gains and enhanced organizational decision-making. But there’ll be growing pains, one ...

As theCUBE Research has been tracking, the transformation of data management systems has been gradual yet profound. Over the past decade, organizations have increasingly recognized the value of ...

AI Agent Engineering: New service enables enterprises to build, connect and manage intelligent AI agent workflows CLAIRE Agents: The next evolution in autonomous data management General Availability ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an enterprise cloud data management leader, today announced the availability of the company’s leading end-to-end AI-powered data ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an enterprise cloud data management leader, announced significant product developments for its Intelligent Data Management Cloud (IDMC) ...

Updates to Informatica's Intelligent Data Management Cloud (IDMC) are meant to maximize efficiency of an enterprise to handle complex challenges such as data integration, management and engineering.