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Boston Professional


Enterprise modelling at its finest

Efficiently develop your enterprise models in Boston using natural business language, Object-Role Modeling (ORM), Property Graph Schema, Entity Relationship Diagrams, Use Case Diagrams and State Transition Diagrams. ORM's fact-based modelling is world renowned as a superlative data analysis and database design methodology. Employ Fact Based Modelling in your enterprise and provide natural language semantics to your data.

Automatic Normalisation for Entity-Relationship and Graph Databases

Automatic conversion of ORM diagrams to Entity-Relationship Diagrams and Property Graph Schemas positions you as ready to meet modern conceptual modelling challenges head on.


Semantic Modelling

Semantic Fact-Based Modelling is at the core of Boston. With interlinked models you are only ever a click away from your enterprise business rules in natural language. Leverage Boston's glossary and model dictionary to find the information you need for your stakeholders in rapid time.

Conceptual Modelling for Multi-Model Databases

Boston is custom built for multi-modelling. Establish your model as an Object-Role Modelling, Entity-Relationship Diagram or Property Graph Schema and then automatically convert between the languages.

As industry leans towards Relational Knowledge Graphs and Multi-Model Databases you are prepared to meet the market head on with the most advanced conceptual modeller of its kind.

Use a world leading conceptual modelling tool to perform knowledge engineering and polyglot modelling for databases in the era of semantic modelling.

Built for Information Modelers and Business Analysts

Engage with your stakeholders in the most productive way as an Information Modeler or Business Analyst using documents and diagrams created in Boston. Boston is designed to be the most productive data analysis tool of its kind so that you are in the driving seat when it comes to designing and documenting your data structures.
Virtual Analyst - Save considerable time creating models using FactEngine Knowledge Language (FEKL) with Boston's Virtual Analyst, a Conversational AI chatboot dedicated to creating conceptual models. See Briana the Virtual Analyst in action here. Take the complete training course here.

Training - Take advantage of our online training courses to leap-frog the competition.

Documentation - Boston comes with a comprehensive user manual and you can exploit our online documentation to master FactEngine Query Language and FactEngine Knowledge Language

Object-Role Modeling
Metadata Lineage
Property Graph Schema
Entity Relationship Diagrams
Glossary View
Knowledge Extraction
Virtual Analyst
Taxonomy Tree
Knowledge Language Upload
Predicate Readings
Error List
Lineage Document Viewer
Virtual Business Analyst
Print Preview
Polymodel Conceptual Modelling
Model Based System Engineering

Boston is part of a select group of conceptual modelling software developed especially for Model Based System Engineering, where the exacting specification of conceptual models in Object-Role Modeling help in meeting compliance requirements of systems engineering teams.

 View the Boston release schedule Boston Release Schedule (factengine.ai)

 Fact-Based Modelling

Boston's Object-Role Modelling is a type of Fact-Based Modelling. Read More >>
Fact-Based Modelling is used for conceptual analysis and design, database design, ontology design.
 Cloud - Real-time Collaboration with Boston Enterpirse

Do you need to work in a team where each person works on the same model? Ask us about Boston Enterpirse.


Boston is jam packed with features:

- Object-Role Modeling - Property Graph Schema Modeling - Entity-Relationship Diagram Modeling
- Use Case Diagram Modeling - FactEngine - Schema Aware Semantic Search  - FactEngine
- Natural Language Verbalisations - Virtual Analyst (Natural Language Model Creation) - Morphing between Pages (simplified Model Navigation)
- Error List - Print / Print Preview - Model Dictionary
- Unlimited Models in Model Explorer - Automatic Normalisation - Model Explorer
- Export and Import Models with XML - Conversion to ER Diagrams and Property Graph Schemas - Glossary View
- NORMA .orm file import - Stakeholder model documentation  in natural language automatically generated  - Code Generator
- Information Extraction    

Boston requires

- Windows 7 of newer for Boston Professional for the Desktop; and

- A modern Web Browser for Boston Enterprise.


YouTube Watch videos of Boston in action on YouTube here

Glossary View

Modelling with Object-Role Modelling allows for rich, natural-language semantic information to be captured for your model. Boston's Glossary View allows you to view the natural-language extrapolation of your conceptual model. This information makes it easy to communicate the model with all stakeholders.


Generate Code or Data Definition Language (DDL) Script

Use Boston's built-in code generator to generate software code or data definition script. Template driven, Boston's code generator is fast and easy to use.



Boston has been under research and development since August 2007. Fact-Based Modelling software is orders of magnitude more difficult to develop than competing methodologies. In July 2015, Boston was released as ORM Studio and has seen steady releases since that date.

01 Jul 2015

Boston v1.0 Released

Boston v1.0 is released as ORM Studio

01 Jul 2015

17 Jan 2017

Boston v2.0 Released

ORM Studio becomes Boston 

23 Apr 2018

Boston v3.0 Released

23 Apr 2018

28 Aug 2018

Boston v4.0 Released

Object-Role Modelling, Entity Relationship Diagrams and Property Graph Schemas in one conceptual modelling tool.

24 Jul 2020

Boston v5.0 Released

Code/SQL/DDL generation now standard in Boston Professional

24 Jul 2020

25 Aug 2020

FactEngine Released

FactEngine released as part of Boston 5.1

5th June 2023

Boston v7.0 Released

PostgreSQL Model Engine Support

5th June 2023