Introduction
Data Fabric and Data Mesh. It's easy to get confused by the names, yet both are used to describe a concept that is similar in many ways. The two terms may sound confusing at first, but if you take a closer look at their definitions and applications, understanding the concept becomes much easier.
Data Fabric and Data Mesh are two approaches to reduce the complexity of data silos and make it easier to ensure consistency, trust, and governance across different platforms as well as within a single platform. Data Fabric is an architecture framework that offers solutions for monitoring, discovering, and accessing distributed data sources or repositories within an organization. Data Mesh aims to help enterprises integrate their internal applications by providing self-service access from a single interface.
Data Fabric and Data Mesh provide two different ways to solve the same problem. Both products aim at empowering the collaboration of business users by making it easy for them to work with data in both structured and unstructured formats, from any source. Both are part of an ever-growing category called Integrated Information Platform (IIP).
