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Data modeling tools
List of data modeling and database design tools.
Data modeling is the process of creating and analyzing data models for resources stored in a database. The Data Model is an abstract model that standardizes the data description, data semantic, and consistency constraints of data. Its main purpose is to represent the types of data within a system, the relationships between objects, and its attributes. The data model helps to understand what data is needed and how data should be organized. It is like a blueprint for an architect to better understand what is being created.
Moon Modeler
Moon Modeler is a data modeling tool that lets you draw data models quickly and comfortably, create ER diagrams for databases, design nested structures, do documentation of schema design, reverse engineer, generate scripts, and more.
| Desktop/Cloud: | Desktop |
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| Commercial: | Commercial |
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| Runs on: (for desktop): | Linux,Mac OS,Windows |
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DB-Main
Rever DB-Main is an easy-to-use data modelling and data architecture platform. The tool offers powerful components rarely seen in standard data modeling tools. The main features are model neutrality, reverse engineering, methodology neutrality, programmable and extensible, short error detection/fixing cycle.
| Desktop/Cloud: | Desktop |
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| Commercial: | Commercial |
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| Runs on: (for desktop): | Windows |
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ERBuilder Data Modeler
ERBuilder Data Modeler allows developers to graphically design databases by using entity relationship diagrams, and automatically generates the most popular SQL databases. It also allows developers to easily deploy databases by offering a sophisticated visual data modeling environment.
| Desktop/Cloud: | Desktop |
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| Commercial: | Commercial |
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| Runs on: (for desktop): | Windows |
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Gleek.io
Gleek.io diagram maker is freemium text-to-diagram tool for developers and software architects. It is a cloud tool for model driven software development, and you can run in any browser. Gleek.io is designed to be used during software planning meetings and live collaboration, so it is vital that diagrams can be created quickly.
| Desktop/Cloud: | Cloud |
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| Commercial: | Commercial |
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| Runs on: (for desktop): | - |
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The wider the scope of data works in an organization, the more advanced data modeling tool is needed. The functionality spectrum of these tools can be very broad. However, the core features of these tools include:
• Compatibility with different models and their levels,
• Ability to create new models from existing ones,
• Management of atomic data element definitions,
• Support for common modeling tasks (normalization, denormalization, etc.),
• Management of relationships and dependencies between models and their objects,
• Business glossary,
Creating and maintaining a data model requires collaboration among members from different areas (Data architect, business stakeholders, end-users). The use of data modeling software unifies and clarifies the information flow as well as ensures the correct representation of all data objects required by the database. Additionally, the tool helps to create the model at three levels: physical, logical and conceptual.
Moreover, it helps in finding missing and redundant data.
The result of the above benefits is a reduction of very time-consuming data modeling tasks and consequently saving money for the organization.
There are many free and open-source data modeling tools available now. We have prepared a list of the best free & paid options for data modeling in your organization.