Top 9 Data Modeling Tools & Software 2021

 Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is to portray the types of data used and stored within the system, the ways the data can be organized and grouped, the relationships among these data types, and their attributes and formats. Data modeling uses abstraction to better understand and represent the nature of the flow of data within an enterprise-level information system. 

The types of data models include:

• Conceptual data models.
• Logical data models.
• Physical data models.

Database and information system design begins with the creation of these data models. 

What is a Data Modeling Tool?

A data modeling tool enables quick and efficient database design while minimizing human error. A data modeling software helps craft a high-performance database, generate reports that can be useful for stakeholders and create data definition (a.k.a. data description) language (DDL).

Good database design decreases the probability of failure, lessens maintenance effort and speeds up the time taken to complete a task.   

How to Select a Data Modeling Tool?

A good data modeling software tool offers the following features and capabilities:

• Support for the notations you prefer.
• Compatibility with all the database platforms you will be working with. 
• Forward and reverse engineering capabilities.
• Compare and sync capability.
• Support for key physical database features, like advanced security, complex indexing, partitioning, triggers and views.
• Created DDL accuracy.
• Reporting.
• Import and export facility. 

Here is all you need to know about the best data modeling software.