Data virtualization and data fabric are two architectures leveraged by data-driven organizations to derive value from data rapidly and support new business requirements like integrated and real-time insights. Data virtualization produces a data abstraction layer by gathering, connecting, and altering data silos to support real-time insights. As such, it offers you direct access to operational and transactional systems in real-time, whether in cloud environments or on-premises. On the other hand, data fabric helps organizations manage and obtain insights from massive amounts of data. This data is located in different locations, comes in different data types, and is maintained on different…