Why we renamed Data Mesh Manager to Entropy Data 

Better Data Products with Data Contracts

Entropy Data (formerly known as Data Mesh Manager) is a marketplace for data products, enforced by data contracts, to make high-quality data available across the entire organization.

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Made by the authors of datamesh-architecture.com and datacontract.com.

Discover data products

Marketplace

A self-service Data Product marketplace for teams and AI clients to discover, request, and access data products.

Discover.
Entropy Data helps data consumers to discover the data they need for their business case with a clear user interface, semantic search and filter capabilities, fully optimized for data products.
Request. Approve. Access.
Entropy Data supports the full life-cycle of data access as a self-service. Data consumers can request access and owners approve or reject. Use integrations to automate permissions in your data platform.
ModelContextProtocol MCP.
Enable your AI clients to find and access your data products to answer business questions in natural language. Data contracts give the required semantical context for LLMs to automatically write SQL queries. The MCP server checks that data access is in line with data contract terms of use and global policies.

Create and manage

Studio

The workspace for data teams to design, develop, and monitor their data products and data contract in easy-to-use Web UI, YAML-Editor, API, and -yes- Excel.

Data-first or Contract-first?
Both is supported: Create data products from existing data sets in your data platform or data catalog and put them under contract. Or draft new data contracts for your data requirements and create data products that implement them.
Open Standards.
Entropy Data uses open standards like Bitol Open Data Contract Standard (ODCS) to specify data contracts and Open Data Product Standard (ODPS) for data products. With user-friendly editors or the Excel template, data product owners can easily create and edit data contracts.
Data Contract Testing.
Ensure that your data products are compliant to the data contract, even before they are deployed to production. As a data consumer, use data contracts to validate the upstream data quality. Entropy Data fully integrates our popular open-source Data Contract CLI tool.

Ensure compliance

Governance

Define the rules of play for your data product platform.
Automatically check for policy compliance for less manual effort and immediate feedback to data product developers.

Define Ownership.
Probably the hardest part in data management: Define who is responsible for high-quality data products. Define roles and permissions for team members and notify them when something needs attention.
Global Policies.
Ensure consistency across all data products: Ownership, naming conventions, mandatory fields, data classification, access control, and more. Document your policies in natural language.
Automated Policy Checks.
Data Governance checks use AI to automatically check if your policies are correctly applied in your data products and data contracts. Rely on our pre-trained and managed Data Governance AI Assistant, or use your own hosted model (even on-premise).

Put your data under contract

Start managing data products with data contracts and build a trustworthy data product marketplace

Pricing

Choose your deployment option

Starter Cloud

Ideal for PoCs

Free

Unlimited, and actual useful

Start now for free

Includes:

  • Simple user management (What does it mean?)
  • Unlimited data products
  • Unlimited data contracts
  • Limited Data Governance checks

Team Cloud

Ideal for small teams

/month per user

Minimum of 10 users

Order now

Everything in Starter, plus:

  • Advanced user management with roles and permissions
  • SSO
  • Fast help from our team of experts

Business Cloud

Customize for your needs

/month per user

Minimum of 25 users

Order now

Everything in Team, plus:

  • Custom roles
  • Custom schemas for your data products and data contracts
  • Test and staging environments

Enterprise Cloud

Get the services you need

Let's talk

Minimum of 50 users

Get in Touch

Everything in Business, plus:

  • SCIM
  • 1-day support SLA
  • A dedicated success engineer
  • Optional single-tenant hosting or hosting in your own cloud
  • Access to professional services for individual customization

Community Self-hosted

Runs on your own servers.

Free

Unlimited, and actual useful

Download now
  • Simple user management (What does it mean?)
  • Unlimited data products
  • Unlimited data contracts
  • Data Governance AI checks (BYO)

Team Self-hosted

Ideal for small teams

/month per user

Minimum of 10 users

Order now

Everything in Community, plus:

  • Advanced user management with roles and permissions
  • SSO
  • Fast help from our team of experts

Business Self-hosted

Customize for your needs

/month per user

Minimum of 25 users

Order now

Everything in Team, plus:

  • Custom roles
  • Custom schemas for your data products and data contracts
  • Test and staging environment

Enterprise Self-hosted

Get the services you need

Let's talk

Minimum of 50 users

Get in Touch

Everything in Business, plus:

  • SCIM
  • 1-day support SLA
  • A dedicated success engineer
  • Access to professional services for individual customization

Our Story

We (Simon & Jochen) founded Entropy Data after working for many years as consultants at INNOQ with enterprises to build software systems that scale with methods such as Domain-driven Design, autonomous development teams, and self-contained system architectures, but data was never really part of the equation. When w e started to use domain data to analyze our own backlog, it fundamentally changed the way we thought about data in software engineering. Data-driven decisions motivated us to build the right things. It created a purpose. It was an inflection point for us. So, we combined our existing knowledge in software engineering and data analytics to share our perspective of data mesh on datamesh-architecture.com. We also translated Zhamak Dehghani's amazing Data Mesh book into German. And we started to help companies to adopt these principles.

When we discussed data product management software with enterprise clients, we realized that existing tools, such as data catalogs, were not fitting well to data products and the UX was not exactly user-friendly. Business users and engineers avoided these tools. So, we created Data Mesh Manager to help business and technical teams work with data products and discover data that was actually relevant for their business case in a user-friendly way, while always keeping the developer experience in mind.

And we introduced a successful concept from software architecture to data architecture: APIs - and we called them Data Contracts to make it easier to understand (though we're not sure if that name was the best idea). However, with an open specification standard, data teams finally had a concrete tool that embraces collaboration from the beginning and ensures data quality in the long run. We knew that to make a standard adopted, we needed to be part of the community and convince the hearts of engineers: We created the Data Contract CLI as an open-source project to integrate data contracts into the development process.

We also noticed that consulting and product development have conflicting goals and priorities. So we decided to spin off from INNOQ and founded Entropy Data to focus our efforts on building Data Mesh Manager and contributing to the data community.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out by sending us an email and we’ll get back to you as soon as we can.

What is the difference between Entropy Data, Data Mesh Manager, and Data Contract Manager?
It is just the name. The product is the same. The new name is "Entropy Data". In some technical documents and code, you might still see the old name.
Which data platform do you support?
Entropy Data is focusing on the data mesh governance aspect and is data platform neutral. Through the API, Data Platform Manager can be integrated in all deployment pipelines and platforms, such as AWS Athena, AWS Redshift, GCP BigQuery, Azure Fabric, Snowflake, Databricks, and others.
We already have a data catalog. Do we need Entropy Data?
Probably, yes. Entropy Data is a user-friendly frontend on top of your data catalog. Most data catalogs focus on data assets, often containing too many entries, such as tables and internal data structures, which can quickly become overwhelming. Entropy Data, on the other hand, manages data products using data contracts to provide a higher-level view. It enables you to connect these products to build an enterprise data marketplace. Importantly, Entropy Data works alongside your existing data catalog (see our integration architecture). Learn more about the differences: From Data Catalog to Data Marketplace
We are just starting our data mesh journey or data product architecture. Why should we consider Entropy Data?
You need to have a goto place where you document and discover your data products and data contracts. The data product inventory of Entropy Data offers you such a place and can give you a feeling of joy when you watch your mesh grow. At some point, you need to start to focus on data governance. Your first global policies should cover interoperability, documentation, and security.
Where are your servers located?
For the cloud version, all servers and data are hosted on Azure in the EU Data Boundary. Enterprise customers can also choose to have managed hosted on a single tenant in their preferred data region or even in their own cloud environment.
What's the difference between the Community Edition and the paid version?
The Community Edition is a free version of Entropy Data that you can host yourself. The paid versions is our commercial cloud or on-premise offering and comes with support, advanced user management, SSO, customizations, and additional features for enterprises.
What does "simple user management" mean?

In the free versions of Entropy Data (Community Edition and Starter), you can invite users to Entropy Data. Every invited user gets the "Organization Owner" role (think of an Admin role), i.e. every user can create and update teams, data products, and data contracts.

The paid versions of Entropy Data come with advanced user management, i.e. you can assign different roles to users.

Read more about roles and their permissions in the documentation.

Are you ISO 27001 certified?

Yes. Certificate