Data Mesh Resource Center

Data Mesh is a decentralized, distributed approach to optimize enterprise data management and help organizations get the most out of their data-driven investments.

Enjoy exclusive access to Data Mesh content, including on-demand talks, panel discussions featuring Zhamak Dehghani, Founder of Data Mesh, and more!

Starburst Data Mesh Solution BriefData Mesh 101 eBook

February 9th – 10th, 2022

Learn More

What is Data Mesh?

Data Mesh – an approach founded by Zhamak Dehghani – refers to a decentralized, distributed approach to enterprise data management. It is a holistic concept that sees different datasets as distributed products, orientated around domains. The idea is that each domain-specific dataset has its own embedded engineers and product owners to manage that data and its availability to other teams, driving a level of data ownership and responsibility, which is often lacking in the current data platforms that are largely centralized, monolithic, and often built around complex pipelines.

Data Mesh Chapter Summaries

O’Reilly Book

Data Mesh Book Cover
Get your free copy

Data Mesh is founded around four core principles:

Domain-driven data ownership and architecture

Learn More

Data as a product

Learn More

Self-serve infrastructure as a platform

Learn More

Federated computational governance

Learn More

“Data Mesh is not just an architecture, it’s not just a technology, it’s not just an organizational change, it’s all of the above. It’s a paradigm shift in how we manage big data between planes.”

— Zhamak Dehghani, Founder of Data Mesh

“Data Mesh allows us to cater to both our data producers and our data consumers. It provides for domain-driven ownership for the producers while also providing a unified level of access for our consumers.”

— Sachin Menon, Senior Director of Data, Priceline

“Data Mesh is certainly the future for our business…particularly ones which have a legacy of acquisitions, and the need for merging of different data sets to form a new larger entity.”

— Richard Jarvis, CTO, EMIS Group

“Data mesh is the new path to data management. With data volumes set to increase at an annual growth rate of 19.2%, it is critical that organizations of every size reconsider their strategy.”

— Justin Borgman, CEO, Starburst

“Achieving a successful Data Mesh architecture requires the ability to access data in disparate systems and sources.”

— Matt Fuller, VP of Product, Starburst

“By leaving data in its original source, you maintain a lot of flexibility in querying and analytics.”

— Dan Cook, Senior Product Director of Data Platforms and Analytics, doxo

What is Data Mesh?

How to Integrate Data Mesh Into Your Ecosystem

What Are the Three Benefits of Data Mesh?

Starburst is the Analytics Engine for Data Mesh

Data Mesh is a new approach to data architecture and Starburst is the Analytics Engine for Data Mesh. Find out what that means in this video by Justin Borgman, Co-founder, Chairman & CEO, Starburst.

What is Data Mesh?

This video features Justin Borgman, Co-founder, Chairman & CEO, Starburst, as he gives a high-level introduction to the fundamentals of Data Mesh.

Starburst Vision: How We'll Get There

We free our customers to see the invisible and achieve the impossible. Like Shakespeare, Starburst is a five-act play: Act I is Data Lakehouse, Act II is Data Mesh, and then there’s more.

Introduction to Data Mesh

In this video, Zhamak Dehghani gives a high-level overview of the concept, which proposes architectural and organizational changes that transform the way large enterprises analyze data.

How to Build a Foundation for Data Mesh: A Principled Approach

Here Zhamak Dehghani gives an in-depth explanation of how to apply Data Mesh to your current architecture, following the four core principles of Data Mesh.

What Data Mesh Means for Data Analysts

In this panel discussion moderated by ThoughtSpot’s Sean Zinsmeister, panelists and industry experts Zhamak Dehghani, Daniel Abadi, and BoA’s Gareth Stevenson share their perspectives.

What Data Mesh Means for Data Scientists

In this conversation moderated by Red Hat’s Sophie Watkins, panelists and industry experts Zhamak Dehghani, Daniel Abadi, Zalando’s Max Schultze, discuss their perspectives.

From the Starburst Blog:

Data Fabric vs. Data Mesh: What’s the Difference?

Computer science professor Daniel Abadi explains the difference between a Data Fabric and Data Mesh.

Read More

Rethinking the Modern Data Stack

Learn what Starburst’s Director of Engineering Colleen Tartow has to say about how Data Mesh marries the ideas of a truly modern data stack.

Read More

Data Mesh: 6 Myths and Misconceptions

Learn the difference between what Data Mesh is and isn’t. For starters, it’s not a Data Fabric. It also does not mean everything must be decentralized.

Read More

Datanova for Data Leaders at a Glance!

Starburst’s Director of Content highlights the best of the latest two-hour leadership summit on “All Things Data Mesh.”

Read More

Data Mesh and Starburst: Data as a Product

The data product is the heart of the Data Mesh — it is created and analyzed and combined with business knowledge to allow businesses to use data to answer questions — without the data product, a business cannot reach the goal of being data-driven.

Read More

Data Mesh and Starburst: Domain-oriented Ownership & Architecture

Data Mesh is based on four central concepts, the first of which is domain-oriented ownership and architecture. In this blog, we’ll explore what that means and delve into the details of what makes this a fundamental shift supporting a decentralized data ecosystem.

Read More

Data Mesh: The Answer to the Data Warehouse Hypocrisy

Computer Science Professor Daniel Abadi shares his perspective on the Data Mesh and it’s effectiveness and application in relation to the Data Warehouse architecture.

Read More

Query Federation Made Simple at Comcast

Starburst’s VP of Engineering, Ken Pickering, discusses Comcast’s Starburst-backed hybrid query fabric platform that leverages the Data Mesh approach and gives users access to thousands of data sets.

Read More

Azure Data Mesh: Powered by Starburst

This blog by Tom Nats gives a technical overview of how Starburst can support the Azure Data Mesh by querying data wherever it lives.

Read More

Data Mesh: A Software Engineer’s Perspective

In this blog, Lakshmikant Shrinivas, Software Engineer at Starburst explains the parallels between Data Mesh and microservices in software engineering.

Read More

Does the Data Mesh Make Data Integration Harder?

Read how Data Mesh can improve the quality of integration across an enterprise in this blog by Daniel Abadi, Darnell-Kanal Professor of Computer Science at University of Maryland.

Read More

How Data Mesh Scales Data Virtualization

Read about how Data Mesh compliments data virtualization by allowing for frictionless access to data in this blog by Jeremy Akers, Deployment Engineer at Starburst.

Read More

More Resources

Data Mesh and What it Means for Business and Data Folks

In this Big Data LDN byline, Jessica Iandiorio, Chief Marketing Officer at Starburst defines Data Mesh and outlines what it means for different user personas.

Read more

Data mesh: the next big data architectural shift

Data Mesh is the future of data management. Hear from Justin Borgman, Starburst Co-founder, Chairman & CEO, as he explains how Data Mesh is the next big architectural shift in this piece for Information Age.

Read more

SQL is Your Data Mesh API

This blog describes why an externalized query service, like Starburst, and a data access control tool, like Immuta provide the perfect framework to enable data mesh.

Read more

Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes Beyond the Data Lake

Check out Data Mesh in practice in this talk which follows our customer Zalando’s journey from a centralized Data Lake to a distributed Data Mesh.

Read more

Why Governance is the Critical Stitch in Data Mesh (and How to Avoid “Meshing” it Up)

Privacera’s Rajiv Dholakia and Starburst’s Matt Fuller explain how Starburst Stargate enables cross-cloud analytics with partners like Privacera to ensure compliance.

Read more

Starburst Backs Data Mesh Architecture

In this Datanami article, Starburst’s Co-Founder, Chairman & CEO Justin Borgman shares his perspective on Data Mesh and explains how Starburst fits in.

Read more

Get in touch

Want to try Starburst? Have questions? We're here to help.

Contact Us

Starburst Enterprise

Fast, free, distributed SQL query engine for big data analytics

Starburst offers a free, unlicensed version which includes:

  • Certified and secure releases
  • Cost-based optimization for federated queries
  • Connector extensions, including table statistics
  • Usage metrics

Data leaders trust Trino (formerly PrestoSQL)

Netflix, Verizon, FINRA, AirBnB, Comcast, Yahoo, and Lyft are powering some of the biggest analytic projects in the world with Trino.

By signing up, you agree to communication about Starburst products and services. You may unsubscribe at any time. Your privacy is important to us, please review our privacy policy.

Free Download

No credit card required.