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, ...

Data virtualization provides a single access layer for all enterprise data, enabling organizations to integrate and present data that resides in disparate systems. Critically, ...

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.

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 ...

Data virtualization platforms that meet these requirements, such as Actifio, help to fulfill the devops promise by eliminating data provisioning as a bottleneck to development and testing, ...

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 works so quickly that each virtualization is updated in real time as it changes at its source. In contrast, ETL creates a static copy of the data as it existed at the moment ...

FME Data Virtualization Key Benefits. Live access to any source: With FME Data Virtualization, users can expose APIs on top of systems without moving or duplicating data.