
Our MongoDB GUI tool unites friendly UI and Shell power. Desktop GUI tool for Mongo database management, administration and development.
NOSQL MANAGER FOR MONGODB TOOL LICENSE
Check out our license offers to find the right product for you.NoSQL Manager for MongoDB. If you buy NoSQL Manager, you will see how easy it is to work with and navigate through Mongo's commands.

That means the shell will execute all commands in the context of this database. When you open a new shell editor it is automatically associated with an active database selected in DB Explorer. NoSQL Manager Shell is an interactive tool that deals with commands. The MongoDB commands, combined with the innovative NoSQL Manager product, are the best practice solution to maintain the high availability, efficiency, and administration of operations that meet today's computer experts' demands. It also provides a rich graphical interface for monitoring and analyzing performance. With its help, you can navigate each command hands-down.

It knows all methods, variables, keywords, operators, and collection names.

Our product is a great tool to help you deal with all Mongo commands.

Moreover, all versions of MongoDB are supported here. It supports the replication of established and shared cluster connections and provides an easy-to-use document viewer and editor. This console offers high performance and an intuitive interface. NoSQL Manager is a basic combination of user-friendly interface and shell capabilities. The primary reason why you should consider purchasing it is that it simplifies the work with Mongo. Nevertheless, to brighten the user experience, our unique product - NoSQL Manager, was created.
NOSQL MANAGER FOR MONGODB TOOL SOFTWARE
MongoDB offers a document-oriented data model and set of commands, unlike relational databases, making the software faster, more scalable, and easier to use. MongoDB takes a new approach to building databases without tables, schemas, SQL queries, foreign keys, and other objects in object-relational databases. At the same time, it was not so important whether relational databases are suitable for storing this type of data or not. Some time ago it was common practice to store all data in relational databases.
