---
name: Data mesh

quadrant: Techniques

ring: Assess

isNew: true
---

[Data mesh](https://martinfowler.com/articles/data-monolith-to-mesh.html) is an architectural paradigm that unlocks
analytical data at scale; rapidly unlocking access to an ever-growing number of distributed domain data sets, for a
proliferation of consumption scenarios such as machine learning, analytics or data intensive applications across the
organization.

Data mesh addresses the common failure modes of the traditional
centralized [data lake](https://martinfowler.com/bliki/DataLake.html) or data platform architecture, with a shift from
the centralized paradigm of a lake, or its predecessor, the data warehouse.

Data mesh shifts to a paradigm that draws from modern distributed architecture: considering domains as the first-class
concern, applying platform thinking to create a self-serve data infrastructure, treating data as a product and
implementing open standardization to enable an ecosystem of interoperable distributed data products.