Understanding the Differences Between Data Fabric and Data Virtualization

Understanding the Differences Between Data Fabric and Data Virtualization

People often confuse data fabric with data virtualization.

Data Fabric and data virtualization architectures are two different methodologies companies use to derive value from data and tend to new business needs. Both methodologies provide real-time, agile, and self-service insights across data silos.

And with the introduction of new and unique architecture frameworks and data management solutions, segmenting the similarities and differences can be overwhelming, further leading to various search strings. These include “data virtualization vs. data federation”, “data fabric vs. data mesh”, and “data virtualization vs. data fabric”.

In this article, we are going to learn data virtualization and data fabric and understand their differences to see how virtualization fits into the data fabric architecture.

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