A Data Product Marketplace
based on Open Standards
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Pricing
Choose your deployment option
Starter Cloud
Free, unlimited and actually useful. Ideal for early-stage data mesh initiatives, startups and PoCs.
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
- Advanced user management (What does it mean?)
- SSO integration
- Data Governance AI checks
- 24-hour support response time
- Individual customization to fit your needs
Runs on your own servers. Ideal for early-stage data mesh initiatives, startups and PoCs.
Free
- 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
- 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.
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 Fabric, 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, often containing too many entries, such as tables and internal data structures, which can quickly become overwhelming. Data Mesh Manager, 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, Data Mesh Manager 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. 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.