MonjaDB vs. NoSQL Manager vs. NoSQLBooster vs. Oracle SQL Developer Data Modeler Comparison Chart

Intuitive interface and high performance of the desktop application save time for beginners and professional database developers and administrators. Full support of all the MongoDB, MongoDB Enterprise and Amazon DocumentDB databases makes your work hassle-free. Support of replica sets, standalone hosts and shared cluster connections. Autocompletion allows autocompleting the collection names and methods in MongoDB and Shell commands. As the text is typed into the Shell, the context of the cursor within the command provides an indication of whether the user needs a collection completion or a method completion. The collection completion provides a list of collections available in the current database. Easy document navigation, view and editing, limits to maximize performance, GUI editors for all MongoDB data types.

Oracle SQL Developer Data Modeler is a free graphical tool that enhances productivity and simplifies data modeling tasks. Using Oracle SQL Developer Data Modeler users can create, browse and edit, logical, relational, physical, multi-dimensional, and data type models. The Data Modeler provides forward and reverse engineering capabilities and supports collaborative development through integrated source code control. The Data Modeler can be used in both traditional and in Cloud environments. Oracle SQL Developer Data Modeler is one of the database tools in the Oracle Database Tools group. It is an independent, standalone product with a full spectrum of data and database modeling tools and utilities. There is a general FAQ and other supporting collateral on the Data Modeler home page. This document is to provide some guidance to the pricing-related questions arising in the community.