Data Mesh vs Data Fabric: What's the Difference and Which Fits Your Company?
Data mesh changes who owns data. Data fabric changes how it is connected. A side-by-side comparison, who each approach suits and how to tell whether you need either one.
A structured network of entities, such as people, places, and concepts, and the relationships between them.
A knowledge graph stores information as nodes and edges. For example, nodes for Darjeeling, India, and tea could be connected by relationships such as located in and known for. This structure allows software to answer questions by following connections rather than just matching keywords.
Search engines use knowledge graphs to show fact panels about famous people, places, and organizations. Businesses use them to connect customer, product, and supply chain data, and researchers use them in drug discovery to link genes, proteins, and diseases. Knowledge graphs can also be combined with large language models to ground answers in verified facts and reduce hallucinations. Building one requires careful data modeling and ongoing maintenance.
Data mesh changes who owns data. Data fabric changes how it is connected. A side-by-side comparison, who each approach suits and how to tell whether you need either one.