Data Mesh and Data Fabric are both architectural patterns that help organizations manage their data in a more efficient and scalable way. Data mesh is a term that was coined by Cisco, while data fabric was coined by Google. Nevertheless, the basic idea behind both terms is the same: as companies build more and more complex systems, they need new frameworks for managing the data that passes through them.

What is Data Mesh?

Data Mesh is an approach that emphasizes the decentralized ownership of data by different teams within an organization. Each team is responsible for the data that they produce and consume, and they’re empowered to make decisions about how that data is stored, managed, and shared. This approach helps to break down silos and promote cross-functional collaboration, but it can also introduce complexity and coordination challenges.

What is Data Fabric?

Data Fabric, on the other hand, is an approach that emphasizes the centralization of data management. A centralized team or group is responsible for managing the organization’s data infrastructure, and they make decisions about how data is stored, managed, and shared. This approach can simplify the data management process and provide greater control over data quality, but it can also lead to bottlenecks and lack of ownership.

How are Data Mesh and Data Fabric Different?

In summary, both Data Mesh and Data Fabric are frameworks for handling data at an organizational level, but the way they handle it is different. Data Mesh is more about decentralization and better suited for organizations with a high degree of autonomy and cross-functional collaboration, whereas Data Fabric is more about centralization and better suited for organizations with a more centralized data management structure.

Is your organization ready for Data Mesh and Data Fabric?

Depending on your organization’s requirements, one approach might be more suitable than the other, and we’re here to help guide you through that decision. Data Meaning has developed Data Governance solution blueprints to help accelerate your organization’s movement along the data and analytics maturity curve. These services range from strategy sessions to data management workshops to in-depth impact assessments, and more.  Visit us at to learn more about us, or email us at to begin a conversation about your Data Management strategy.


About Data Meaning 

For more than 20 years, Data Meaning has enabled the world to derive the most value from data. In partnership with the world’s leading companies and spanning across 15 industries, our team is proud to have struck the balance between industry knowledge and analytical technology expertise to help institutionalize more effective information-powered business outcomes. Thus, the intersection of vertical expertise; analytics technology and cognitive and behavioral psychology is not just a fundamental part of who we are, but also what our partnership has to offer. 

We deliver end-to-end solutions for our clients and are industry leaders in user experience design, customizations, and training. Start to finish, every project we tackle is focused on delivering the exact intelligence and insight your organization needs to impact performance and achieve the outcomes you care most about.