TrustRadius: an HG Insights company

What is Fraxses?

Fraxses by Intenda is a distributed data platform that provides organisations with a framework on which to build a data fabric or data mesh architecture. While Fraxses fully supports traditional data integration processes, it advances a connect, not collect approach, whereby data is served to users directly from the source, without the need for a centrally owned data lake.


Fraxses is designed to simplify data management, and help organisations to accelerate their digital transformation journey. Fraxses provides a complete data lineage picture and rigorous security protocols, and facilitates cross-system transaction level audit capabilities. It can be used to digest and manipulate raw data, distribute AI and ML routines, and perform all aspects of data management in a single end-to-end solution.


Fraxses is a metadata-driven solution, and comprises various modules that are used for different functions. These include Legoz, the platform’s front-end; Insights, a visualization module with embedded BI; Integrate, a module that supports all methods of data integration; and Opus, a low-code/no-code application development platform.


Fraxses ultimately aims to help organisations to eliminate up to 90% of traditional IT development effort, driving shorter project timelines and faster time to market for new products.


Media

Screenshot of Data Pedigree in Fraxses, which combines pedigree and dependencies on a single canvas. Users can view the metadata for each attribute, and download the pedigree in an interactive html page.
Screenshot of Object Builder in Fraxses. It facilitates a formal development lifecycle approval process, allows for Data Objects to be arranged in workspaces and includes a security layer.
Screenshot of Menu Access modal in Fraxses. Role Types and Menu Access security levels allow for access to be enabled or disabled per Organisation or Role.

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Screenshot of Data Pedigree in Fraxses, which combines pedigree and dependencies on a single canvas. Users can view the metadata for each attribute, and download the pedigree in an interactive html page.