Comparing Data Fabric and Data Mesh

Data management best practices and principles have evolved over decades to address common pain points faced today with managing data and getting access to data quickly with the goal of achieving high business value. Organizations have learned the value of data through pain, failure, and revenue loss. This has led to an organizational culture change where data is no longer treated as a by-product but instead as a valuable asset, and data is seen as a product that needs to be treated with care, strategic planning, and much attention to ultimately achieve data monetization.

The reality is that both the Data Fabric and Data Mesh designs have evolved from lessons learned from previous data management approaches. They are based on a collection of best practices and principles to execute superior data management and achieve high-scale data sharing. They address the growing needs and complexities of data management across the four Vs – volume,...