What is Data Mesh?
Today’s enterprise data platforms leave a universal set of challenges, including data silos, data governance, data quality, and data access. These challenges delay organizations from delivering data on time and creates friction between data consumers, data producers, and central IT teams.
Data mesh is a methodology that helps solve these challenges by decentralizing data ownership and management, creating data products, and establishing a culture of data collaboration. As a result, data consumers get faster access to data and central IT delivers data for governed self-service analytics.
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Why Build Your Data Mesh on Dremio’s Open Data Lakehouse?
Unified Data Access
The only data lakehouse with an integrated self-service semantic layer that supports on-premises, hybrid, and cloud deployments
The Fastest Lakehouse for BI Workloads
Answer all your BI questions at sub-second speed with Dremio’s data reflections
Data as Code
Management
The easiest way to manage your data products as code and ensure data consistency
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Data Producers and Consumers Are Better Together
Deliver Data. Build Trust.

"Dremio allows us to bring state-of-the-art tooling alongside self-service data access in a governed way...The reason Dremio was such a great fit is that it created a data mesh for us across all these areas and allowed our customers to use SQL to access and explore data across the enterprise. Our goal in this expanded data mesh is to make Dremio the single consistent query engine. It's not just about SQL-based querying, but also about supporting BI tools, point-and-click interfaces, and different ways in which users want to access the data in a common way.”
Deepika Duggirala
Senior Vice President, Global Technology Platforms | TransUnion
Dremio’s Unified Access Layer Allows Teams to Build and Share Data Products in A Single Place
Dremio is the only data lakehouse that delivers self-service data products anywhere, on-premises, hybrid, or cloud. Unify enterprise data and simplify data access with a single solution for data mesh. Here’s how we make the four core principles of data mesh a reality.
Domain Ownership
Discover and understand data with minimal to no data engineering overhead. Federate domain ownership and enrich your data with business context using the searchable, integrated catalog experience.
Learn more about data discovery and curation ->
Federated Computational Governance
Build trust between domains and make decisions about how data is used and shared across the enterprise. Govern access to data and remove the need for copying data into data warehouses or BI extracts.
Learn more about the semantic layer ->

See Dremio in Action
Deliver Unified Data Access With Dremio’s Open Data Lakehouse

Hear from our other customers
Shell’s journey with data mesh to reshape the energy system
Learn how one of the largest hospital accelerates cancer research with data mesh on Dremio’s open data lakehouse
Data Mesh Resources
GNARLY DATA WAVES EPISODE
Enable Data Mesh with Data as Code
Data as code is the practice of managing data the same way software manages code in application development. Learn how Dremio Arctic simplifies and accelerate the process of building, managing, and sharing data products.
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GUIDE
From Monolithic Data Architectures to Data Mesh
Monolithic data architectures have
challenges keeping up with business
demands. Learn how data mesh
addresses some of these with an open
data architecture.
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GNARLY DATA WAVES EPISODE
Unified Access for Data Mesh
In this episode of Gnarly Data Waves,
Alex Merced will demonstrate how
Dremio's semantic layer enable data
mesh for the enterprise. The semantic
layer unifies data access and gives data
consumers a way to create and share data products.
Learn more ->
Here are some resources to get started