Making a comparison of document-based database systems like MongoDB and traditional relational databases like PostgreSQL is not a simple task. In fact, it is impossible to recommend one database platform, because everything depends on your requirements and the goals you wish to achieve. For some use cases, MongoDB can be the preferred solution, for many other use cases PostgreSQL can be the better option.
So how to compare MongoDB vs PostgreSQL?
Let’s see how both the databases are supported in our data modeling tools.
Collections and documents in MongoDB projects
One of the key benefits of MongoDB is the possibility to store documents in MongoDB collections easily. In Moon Modeler it can be visualized this way:
Tables and columns with JSON structures in PostgreSQL projects
Many relational database platforms allow you to work with nested structures comfortably as well and PostgreSQL is not an exception. You can store your data in table columns that have a JSON data type and leverage PostgreSQL built-in functions for working with JSON.
Other MongoDB vs. PostgreSQL comparison articles
Some valuable information, or at least one good tip related to overall MongoDB vs PostgreSQL comparison, can be found in the Comparison of MongoDB vs. PostgreSQL article published at enterprisedb.com
#