Here be the Hall of Fame of Vendors, who use Graph Data Modeling in their Products, Today!

Work in Progress - Feedback is welcome!

To qualify for a place in the Hall of Fame, a product should use visual, interactive, graph representation of a data model. (The framing of the context is the property graph model as defined here). If you know about a product, which should be listed here, please notify Thank you!


Architector is a cloud-based or server-based tool to manage everything to do with the complex area of data lineage. Data lineage can be defined as the journey data takes from where it is created through to where it is used in reports, models, decisions, etc. It is vital for organisations to understand the lineage of data, otherwise they cannot properly understand the data they use, and therefore cannot really rely on results based on data. Data lineage contributes to the definition and understanding of data quality, data ownership and governance, and to the operational questions of deciding what data to use in what circumstances.

Here follows a snip of Architector's Concept Model tool:
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Architector's homepage can be found here. The company was founded in the UK.

Cambridge Semantics

In Cambridge Semantics Anzo Smart data lake offfering in-Memory Knowledge Graphs is embedded. Under the name AnzoGraph it offers context and meaning at unprecedented scale.

Cambridge Semantics leads the market in connected data analytics on Enterprise Knowledge Graphs. Our breakthrough AnzoGraph™ is the most advanced of its kind – performing complex ad-hoc, OLAP interactive and batch queries at connected data scales and performance levels that our competition simply cannot match.

The company declares:

2018 - The Year of the Graph!

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Cambridge Semantics' homepage can be found here. The company was founded in the US.


DataGalaxy is a French provider of a data modeling / catalog / business vocabulary solution. It is designed for self-service and collaboration. It is designed for agile environments and also contains a flow designer, a search engine and visual analysis (of e.g. lineage) using graph representations.
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DataGalaxy's homepage is in French only and can be found here. The company was founded in France.


The Core of FactGem's offering is the DATA FABRIC:

The FactGem Data Fabric connects data from platforms and applications, separated by purpose, geography, or organization, into a unified, service-enabled, graph endpoint.
Stored as a cohesive and visual model, data can be expressed as the entities, relationships, transactions, and events that tie them together, providing for easy reporting and querying across the enterprise.
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Relationships become first-class citizens in the FactGem Data Fabric. They aren’t just an index or a way to link disparate entities together. They can be queried directly.

See more here on Youtube: FactGem Product Overview
FactGem's homepage is here. The company was founded in the US.

GraphQL Voyager

Represent any GraphQL API as an interactive graph. It's time to finally see the graph behind GraphQL. You can also explore number of public GraphQL APIs from our list.

With graphql-voyager you can visually explore your GraphQL API as an interactive graph. This is a great tool when designing or discussing your data model. It includes multiple example GraphQL schemas and also allows you to connect it to your own GraphQL endpoint. What are you waiting for, explore your API!
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GraphQL Voyager is based on one of the earlier ERD diagramming libraries, as you can see.

See an interactive demo here: GraphQL Voyager
GraphQL Voyager is open source (MIT license) based on Github here. The company behind is, based in Ukraine.
The project was inspired by GraphQL Visualizer , developed by Nathan Smith, based in the US.
A rather similar project is GraphQL Rover, which is based on Dagre-D3 and Vue.js. GraphQL Rover is developed by Francesco De Lisi, based in Thailand.


Informatica offers a range of solutions for Master Data Management, Data Governance, Data Discovery and more.

One of the offerings is Enterprise Information Catalog: A machine-learning-based data catalog lets you classify and organize data assets across cloud, on-premises, and big data.
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The graph snippet above is from Informatics's Enterprise Information Catalog and shows the graph support in the Domain Management part.
But graph technology is applied in many of Informatics's offerings, and it is growing.
Informatics's homepage is here. The company was founded in the US.


Neo4j is the leading graph data platform.

Although it does not require a schema or a declared data model, it does have a function called "db.schema()". It will analyze the data and infer the schema from the data.

Neo4j (and other graph databases) are actually great for building metadata repositories.

To the right you see the inferred schema of the IMDB movie database. It is displayed in the standard, built-in graph data browser, which is part of the platform.
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Neo4j's homepage is here. The company was founded in Sweden, so it is a "New Nordic" software company!


Qlik has an "Associative Engine" in a number of its products:

"Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics and reporting to approximately 45,000 customers worldwide".

As you can see in the picture on the right, it is a true graph representation of a data model. A very elegant and intuitive tool!

See more here on Youtube: Qlik Sense - Creating a Data Model
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Qlik's homepage is here. The company was founded in Sweden, so it is a "New Nordic" software company!


Reltio’s mission is to bring the power of self-learning to every business, so they can Be Right Faster. Reltio Cloud delivers enterprise data-driven applications powered by a modern data management Platform as a Service (PaaS), guiding customers to take the right actions, based on the right insights, to achieve the right results.

Reltio was founded on a single premise: Companies who learn faster grow faster. The founder set out to build Reltio with a vision to create a simple way for companies to become continuously organize their data, through a Self-Learning Data Platform that uses data for recommended actions, and then measures results to learn, and improve business outcomes.

See more in this article on Forbes Magazine.
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Reltio's homepage is here.


Structr is a leading graph-based low-code development
and runtime workbench for data-centric web and mobile applications. It is an open source project with a commercial option as well.

It includes a Schema & visual data modeling tool, which can create types for objects and relations between them, manage attributes, views and data types and define schema methods for advanced behaviour.

See more here on Vimeo: How to create
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Structure's homepage is here. The company was founded in Germany.


Unifi was founded to satisfy a frustrating industry need.

The Unifi Data Platform breaks down the barriers of operational data silos and democratizes information across the enterprise. At the heart of the platform is a comprehensive suite of self-service data discovery and preparation tools to empower business users. Employing machine learning and artificial intelligence technologies, and optimized for the cloud, Unifi predicts what the business user wants to visualize and then connects the resulting data natively to the BI tool for fast, accurate results.

View Data Relationships

Graphically represented by JanusGraph embedded into the Unifi Data Catalog UI, a user can easily determine how datasets and even attributes are related. Understanding where data comes from, the provenance, and lineage are essential to determining data validity.

See more here on Unifi: How to create
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Unifi's homepage is here. The company was founded in the US.
All the details of Graph Data Modeling are explained in this book:
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