Mongo Pilot vs. NoSQL Manager vs. Oracle SQL Developer Data Modeler vs. Toad 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.

Visualize database structures and better understand existing databases and relationships. Create high-quality logical and physical data models. Reverse engineer existing database structures to view them in a diagram. Generate detailed HTML, RTF or PDF reports. Create quality database structures or make changes to existing models automatically, and provide documentation on multiple platforms. Build complex logical and physical entity-relationship models, and easily reverse and forward engineer databases. Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Synchronize models with existing databases using Change Script Generations and Update Model features. Easily convert data structures from one database platform to another to support business migration initiatives. Easily generate detailed hyperlinked reports on existing database structures in multiple formats like HTML and PDF.