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Data Mesh

Data Mesh

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**Data Mesh**

What is Data Mesh?

Data Mesh is a decentralized socio-technical approach to managing and accessing analytical data at scale. It treats data as a product, with each domain team responsible for providing and serving their domain's data in a self-serve manner, fostering autonomy and agility. It commonly involves distributed ownership, data-as-a-product thinking, self-serve data infrastructure as a platform, and federated computational governance.

Find 1.4k organizations using Data Mesh on Sumble →

What other technologies are related to Data Mesh?

Data Mesh Competitor Technologies

Data Fabric
Data Fabric is an architecture that aims to provide unified access to data across various sources, potentially reducing the need for a decentralized, domain-oriented approach like Data Mesh. It centralizes data management, contrasting with Data Mesh's decentralized philosophy.
Data Warehouse
Data Warehouses are often implemented as a centralized data repository. A Data Mesh is often implemented as a decentralised architecture.
Data Hub
A Data Hub is a centralized platform for data sharing and integration, often contrasting with the decentralized approach of a Data Mesh. It centralizes data management, while Data Mesh emphasizes decentralization.
Data Warehousing
Data Warehousing typically involves a centralized data repository, which contrasts with the decentralized and domain-oriented approach of a Data Mesh.
Number of organizations that mention technology
1,403
Data Mesh
714
Data Fabric
7,413
Data Warehouse
568
Data Hub
5,749
Data Warehousing
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Data Mesh Complementary Technologies

data as a product
No summary available
Data Mesh strongly emphasizes 'data as a product,' where data teams treat their data as a product with defined SLAs, documentation, and discoverability. It is a core principle of Data Mesh.
Data Products
Data Products are central to the Data Mesh architecture. They are independent units of data that are owned and served by specific domains.
Data Lakehouse
Data Lakehouse architecture combines the benefits of data lakes and data warehouses, providing a flexible and scalable platform for data storage and processing. It can be a useful underlying technology for implementing data products in a Data Mesh.
Number of organizations that mention technology
1,403
Data Mesh
24
data as a product
213
Data Products
880
Data Lakehouse
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Which job functions commonly mention Data Mesh?

Data Architect
1.3% of all Data Architect jobs mention Data Mesh
View 565 jobs on Sumble
Data Engineer
0.3% of all Data Engineer jobs mention Data Mesh
View 789 jobs on Sumble
Solutions Architect
0.2% of all Solutions Architect jobs mention Data Mesh
View 294 jobs on Sumble
Software Engineer
1785 Software Engineer jobs mention Data Mesh
View 1.8k jobs on Sumble
Engineer
1903 Engineer jobs mention Data Mesh
View 1.9k jobs on Sumble
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Which organizations are mentioning Data Mesh?

Data Mesh
AstraZeneca
Manufacturing 
57 team
mention Data Mesh
↗
 1 person
use Data Mesh
↗
Data Mesh
JPMorgan Chase
Finance and Insurance 
33 team
mention Data Mesh
↗
 7 people
use Data Mesh
↗
Data Mesh
Ernst & Young
Professional Services 
26 team
mention Data Mesh
↗
 6 people
use Data Mesh
↗
Data Mesh
Deloitte
Professional Services 
23 team
mention Data Mesh
↗
 8 people
use Data Mesh
↗
Data Mesh
PwC
Professional Services 
17 team
mention Data Mesh
↗
 2 people
use Data Mesh
↗
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