The Front-End for Your
Modern Data Platform
Manage data products, agree on data contracts, and automate data governance. Get an enterprise data marketplace.
Made by the authors of datamesh-architecture.com and datacontract.com.
Discover your data
Data Products
Data Products are the building blocks of your data platform. Make them first-class citizens.
- Discover.
- Find the data that enable your data use cases. Use the visual data product map as a powerful entry point to navigate through your data mesh. Identify the data products that you can trust by evaluating quality metrics, popularity and compliance rating.
- Manage Costs.
- Compare the business value with the costs on a data product level. Make the monthly platform costs transparent to data product owners to identify cost drivers for decentralized cost controlling.
- Automate.
- Integrate your data platform with the Data Mesh Manager API right from your CI/CD pipelines. Keep everything up-to-date automatically without having to enter metadata manually.
Connect your data teams
Data Contracts
A data contract defines the structure, format, semantics, quality, and terms of use for exchanging data between a data provider and their consumers. Make the guarantees about provided data and expectations of the data usage explicit.
- Manage Expectations.
- Data contracts are a great tool to discuss data models, semantics, quality, and data requirements even before they are implemented by data products. Define the usage terms and service levels.
- Request. Approve. Automate permissions.
- Data Mesh Manager supports the full life-cycle of data access as a self-service data marketplace. Data consumers can request access to data products under the terms of a data contract and data product owners approve or reject. Leverage the event-driven API to automate the granting and removal of access rights.
- Enforce.
- Make sure that your data products correctly implement data contracts, even before they are deployed. As a data consumer, use data contracts to validate the upstream data quality. Data Mesh Manager fully integrates our popular open-source Data Contract CLI tool.
AI-powered data governance
Data Governance AI
Define the rules of play in your data platform.
Data Governance AI automatically checks for policy compliance.
- Document Decisions.
- Ownership, naming conventions, mandatory fields, data classification, access control, and more. Document your policies in natural language.
- AI-driven Policy Checks.
- Data Governance AI will automatically check if your policies are correctly applied in your data products and data contracts.
- Bring Your Own Model.
- Rely on our pre-trained and managed Data Governance AI Assistant, or use your own hosted model (even on-premise).
The Front-End for Your Modern Data Platform
Try Data Mesh Manager demo
Pricing
Choose your deployment option
Starter Cloud
Free, unlimited and actually useful. Ideal for early-stage data mesh initiatives, startups and PoCs.
Free
Start now for free- Simple user management (What does it mean?)
- Unlimited data products
- Unlimited data contracts
- Limited Data Governance AI checks
Enterprise Cloud
Adds roles and permissions for approval workflows to have a full enterprise marketplace functionality.
Let's talk
Get in Touch- Advanced user management (What does it mean?)
- SSO integration
- Data Governance AI checks
- 24-hour support response time
- Individual customization to fit your needs
Community Edition Self-hosted
Runs on your own servers. Ideal for early-stage data mesh initiatives, startups and PoCs.
Free
Download now- Simple user management (What does it mean?)
- Unlimited data products
- Unlimited data contracts
- Data Governance AI checks (BYO)
Enterprise Self-hosted
Adds roles and permissions for approval workflows to have a full enterprise marketplace functionality.
Let's talk
Get in Touch- Advanced user management (What does it mean?)
- SSO integration
- Data Governance AI checks (BYO or our pre-trained assistant)
- Individual customization to fit your needs
Our Story
At INNOQ, we help customers to build software systems that scale well with methods such as Domain-driven Design, autonomous development teams, and self-contained system architectures.
When we started to use domain data to analyze and evaluate feature ideas, it fundamentally changed the way we think about data in software engineering. Data-driven decisions motivated us to build the right things. 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.
As consultants, we helped many clients on their data mesh journey. We realized that federated computational governance is the fuzziest, yet the most important principle. To make it more tangible, we collected examples and best practices of guiding values, operating models, and global policies and shared them on datamesh-governance.com. We noticed that existing tools were not fitting well to support data mesh governance, so we decided to build Data Mesh Manager that helps to discover data products, agree on data contracts, and comply with global policies.
Advisory Board
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Dr. Larysa Visengeriyeva
Expert in AI and author of ml-ops.org
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Dr. Alexander Stage
Data and tech leader, advisor and investor
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.
- Which data platform do you support?
- Data Mesh Manager 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 Synapse, Snowflake, Databricks, and others.
- We already have a data catalog. Do we need Data Mesh Manager?
- Probably yes. Most data catalogs focus on data assets, contain too many entries such as tables and internal data structures and thus quickly become convoluted. Data Mesh Manager focuses on data products and data contracts instead, and then links to the corresponding entries in your data catalog for more details on data structures.
- We are just starting our data mesh journey. Why should we consider Data Mesh Manager?
- You need to have a goto place where you document and discover your data products and data contracts. The data product inventory of the Data Mesh Manager 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. Data Mesh Manager comes with ready-to-use policies that speeds up your initial governance steps.
- Where are your servers located?
- For the cloud version, all servers and data are hosted in the EU with european providers.
- What's the difference between the Community Edition and the Enterprise Edition?
- The Community Edition is a free version of the Data Mesh Manager that you can host yourself. The Enterprise Edition is a commercial cloud or on-premise offering and comes with support, advanced user management, SSO, and customizations.
- What does "simple user management" mean?
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In the free versions of Data Mesh Manager (Community Edition and Starter), you can invite users to Data Mesh Manager. Every invited user gets the "Organization Owner" role, i.e. every user can create and update teams, data products, and data contracts.
The enterprise version of Data Mesh Manager comes with advanced user management, i.e. you can assign different roles to users.
Read more about roles and their permissions in the documentation.