Its former name is “RoboMongo” and its open-source tool. without having prior knowledge of MongoDB. This has been developed keeping in mind the tasks like query building, code generation, import/export data, data exploration, etc. Good SQL support includes functions, expressions, and aggregation for collections with nested arrays and objects.Visual query builder can create statements, even when one doesn’t have knowledge of syntaxes available in MongoDB shell commands.to various target languages is possible through this like Java, C#, Python and JavaScript (Node.js). Translation of MongoDB queries such as find, aggregate, etc.This is a significant, popular and powerful cross-platform GUI tool for MongoDB, which can handle all sorts of variables, methods, and MongoDB properties. Database Master helps to manage MongoDB by providing useful reports and data source information.One can use its sensitive package information to maintain it secure. Data package is one important feature where one can wrap up table data and share it with other users/applications.This helps in writing code faster and easier. Database Master also provides SQL and JSON code checker or code parser to check the SQL code.One can export data into various file formats like XML, HTML, MS Office, CSV, OpenOffice, RTF, PDF, XPS, JSON, dBase, and PNG.A few important and crucial features are: text find and replace, code highlighting and completion.It can import data from XML, CSV, and SQL Script files without any limit over file size.It supports more than 40 data sources, among which MongoDB is the one. It has a powerful, rich and modern user interface. Its MongoDB database administration tool, which manages and simplifies all tasks from writing the query to visualization in MongoDB. It will automatically create JSON format hence tree hierarchy of your data gets created.Moreover, even results can be saved in various formats like HTML, XML, Excel worksheets, etc. Results from MongoJS can be viewed in various formats like pivot, grid, text history, etc.It has an interesting set of features, including statement auto-completion and syntax, and highlighting. MongoJS Query Analyzer is a rich tool that can execute Javascript commands against the NoSQL database. Data manipulation gets damn quicker with this.It’s possible to read and write to GridFS collections.Mongo Management Studio supports almost all major platforms.This makes your development and test processes easier. One needs to interact with MongoDB shell. It’s a light interface that can execute typical MongoDB commands in a fast and effective way. One can get rid of writing command lines.Few clicks can get you the visualization of geospatial data.Understanding the performance becomes easier, as one can plan, view and manage indices.Modifications (like insert, modify, and delete) of data gets easier here.To use it, one needs to create a user and password with MongoDB Compass. ![]() ![]() This can be downloaded from the MongoDB website. It provides the user with a graphical and interactive view of MongoDB, where users need not go deeper into query language for any task. Let’s look at those tools and their characteristics to help you know their business value in a pragmatic way. Hadoop, Data Science, Statistics & others List of MongoDB Tools
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