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.

erwin Data Modeler

erwin Data Modeler (erwin DM) is a data modeling tool used to find, visualize, design, deploy, and standardize high-quality enterprise data assets. Discover and document any data from anywhere for consistency, clarity, and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence, and analytics initiatives.

Desktop/Cloud: Desktop
Commercial: Commercial
Free edition: No
ER Diagram: Yes
Runs on: (for desktop): Linux,Mac OS,Windows
Forward engineering: Yes
Reverse enginering: Yes
Synchronization: Yes 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. 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
Commercial: Commercial
Free edition: Yes
ER Diagram: Yes
Runs on: (for desktop): -
Forward engineering: No
Reverse enginering: No
Synchronization: No

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.