What is a data fabric?
A data fabric is an architecture that connects data across many systems, on-premise and cloud, into a unified, intelligent access layer, using metadata, integration and virtualization so data can be found and used without moving it all into one place. It aims for seamless, governed access across a distributed estate.
Where a data mesh is mainly an organisational model, a data fabric is more of a technical architecture: a connective layer that spans your whole data estate and makes it accessible through unified metadata, integration, and often data virtualization.
A data fabric typically provides:
- Unified access across scattered on-prem and cloud sources.
- Rich metadata and often a knowledge graph to understand what data exists.
- Virtualized querying so data can be used without central copying.
- Governance and security applied consistently across sources.
iDBQuery embodies several data-fabric ideas at the point of use. It connects across your databases, warehouses, spreadsheets, documents and APIs, builds one live queryable model over them via federation, and uses a semantic layer, effectively an intelligent metadata layer, to understand what everything means. The difference is the experience: rather than a heavy platform to assemble, you get a plain-language interface where anyone asks a question and receives a cited answer across the whole estate, with data queried in place and access governed by role. It delivers the unified, governed access a data fabric promises, without a large integration programme first.
Updated 2026-06-22