Data virtualization enables IT teams to gain access to real-time data regardless of source to improve decision-making, increase productivity, and reduce overall costs.

The database virtualization platform sits between applications and the new destination data warehouse. Like any virtualization technology, it decouples two otherwise tightly bonded components.

A data virtualization system essentially creates a virtual fabric, delivering an easy-to-consume view across hundreds of data sources. Instead of lifting and shifting source data to the lake or cloud, ...

MetaMatrix was one of a few “database virtualization” products that aimed to make all of your RDBMSes look like one giant unified schema. This is the sort of idea that makes perfect sense to ...

Because data virtualization is deployed as an architectural layer above the disparate sources, serving as an organization’s single enterprise-wide data access layer, it enables further benefits ...

Data virtualization addresses the data movement challenge by ensuring data remains at the source — yet is also available for consumption in real-time for consuming applications.

Similar to server, storage, and network virtualization, data virtualization simplifies how data is presented and managed for users, while employing technologies - under the covers - for abstraction, ...

Often, data virtualization is used either between sources and these integration tools or between them and applications to provide faster time-to-solution and more flexibility. However, for rapid ...

Creating a copy of a core database is typically a painful job. The CEO of Delphix, a database virtualization startup, claims it doesn't have to be that way ...

Data virtualization holds the key. Any business’ data is only valuable if they can access it fast enough to address present challenges. With speed and agility dominating the market, ...

Data virtualization functionality has evolved to meet changing IT demands. This process has inevitably moved the adoption question from "why" to "when." To answer the question of "when data ...