Ontological Data Mesh

Data Mesh. Decentralized, domain driven architecture and fundamentally different approach to utilizing data that enables business domains to define, access, and control their own data products 

The technology of Data Exchange has traditionally been based on either point-to-point integrations or centralized data-sharing platforms. Despite the continued development of these approaches, there is a fundamental limit to their efficiency due to differences in business needs and data models between use cases. In short, these old approaches are unable to truly leverage economies of scale. 
We base our solutions and services on a fundamentally different approach called Ontological Data Mesh. A data mesh is a decentralized domain-driven architecture, that lets all business domains self-determine the optimal way to get impact out of data. Ontological Data Mesh combines this concept of a data mesh with a universal ontology. This allows for Universal Ontology to harmonize the data between each domain within the data mesh, enabling scalable Data Exchange by streamlining and automating three aspects of data flow development:  

  • Data Connections built with Orchestrator tool and Data Catalogues 
  • Interoperable data built with Harmonizer tool 
  • Contracts built with Contract Console tool 

The ontological approach allows us to effectively up-cycle all the development work committed to building the existing parts of Platform of Trust data mesh. Additionally, the predictability offered by our purpose-built tools enables us to give accurate estimates of development timelines and associated costs by comparing the three aspects of data flow development of a given project to those of existing use cases.  

We’re guided by our Operating Principles, that influence to significant areas of business operations. See the other sections of our Operating Principles: 


EU Data Strategy Compliance »   

Europe and EU are boosting data-based economy across sectors. We help our customers to align themselves to these objectives.


Trust Elements »

Trustworthy Data Exchange: Identified parties, agreed rules, and means to verify that the conditions are fulfilled, and all parties are truly trustworthy.