Data Fabric vs. Data Mesh: Key Differences and Similarities


Data fabric and data mesh both strive to bring organization to the data that is spread across the databases or data lakes. Data fabric is very technology-centric, and data mesh focuses on organizational changes.

Every data-first company strives to or is already in the process of adopting a self-service business intelligence model. A lot of these companies are still not in a position to make their data fully accessible across their platform and scale it across to all their users across different verticals. For these companies, data that sits in siloes in a data warehouse or a data lake with no to limited facilitating capabilities as and when the teams require. Here is where data technologies like data mesh and data fabric come into play.

Yash Mehta

About Yash Mehta

Yash Mehta is an internationally recognized IoT, M2M and Big Data technology expert. He has written a number of widely acknowledged articles on Data Science, IoT, Business Innovation, Cognitive intelligence. His articles have been featured in the most authoritative publications and awarded as one of the most innovative and influential works in the connected technology industry by IBM and Cisco IoT department. He heads Intellectus (thought-leadership platform for experts) and a Board member in various tech startups.

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