What is Data Fabric?

A data fabric is an architecture that provides unified access to data spread across distributed systems. It connects sources through a metadata layer, data integration, and virtualization, so teams can query data without first moving it into a single store.

A global manufacturer, for example, uses a data fabric to query plant, supplier, and sales data through one access layer while the records stay in their original systems.

A data fabric solves access and integration across silos. On its own, it does not make the data ready for reliable AI execution. Unified access is one layer; the reproducibility and traceability of the data state that an AI result depends on sit above it. The two address different problems.

Frequently asked questions

What is a data fabric?

An architecture that gives unified access to distributed data through metadata, integration, and virtualization, without consolidating it first.

How is data fabric different from data mesh?

A fabric centers on a unified technical access layer. A data mesh emphasizes decentralized, domain-owned data ownership and data-as-a-product thinking.

Does a data fabric make data AI-ready?

No. It addresses access and integration. Reproducibility and traceability of the data state are a separate layer.