Managing MongoDB Databases with Navicat

I’ve written about Navicat tools for managing data in this blog before (performance monitoring, heterogeneous database administration ), so I thought I’d take a look at their most recent offering which provides many useful DBA features for MongoDB.

MongoDB is a NoSQL, open-source, cross-platform document-oriented database management system. MongoDB uses JSON-like documents with schemas. Use cases for which MongoDB excels include web commerce applications, content management, blogs, real-time analytics, and social networking. It is not particularly well-suited for systems with high transaction rates.

But I don’t really want to discuss MongoDB in-depth here. As a proponent of performing database administration as a management discipline though, the world of NoSQL database systems lacks the in-depth management and administration tooling enjoyed by relational database systems. That has to change, and Navicat has obviously recognized this fact, with its new Navicat for MongoDB offering.

Navicat for MongoDB delivers GUI interface for MongoDB database management, administration and development (see Figure 1). You can use it to connect to local and remote MongoDB servers and it is compatible with MongoDB Atlas.

Navicat for MongoDB

Figure 1. Navicat for MongoDB GUI – main screen

Navicat for MongoDB offers many useful features for DBAs to manage, monitor, query, and visualize your MongoDB data. It supports adding, modifying, and deleting documents using built-in editors including a tree view, JSON view, and the classic spreadsheet-like grid view.

One of the bigger headaches of using a new database technology like MongoDB can be moving data around. Navicat for MondoDB makes this easier as it comes with an Import Wizard that can be used to transfer data into and out of your MongoDB databases. It supports multiple, diverse formats like Excel, Access, CSV and more. You also can ingest data from ODBC after setting up a data source connection. It provides strong data transfer and synchronization capabilities to enable the migration of your data. You can transfer data across databases, compare the data in your databases, and synchronize the data.

Querying data in MongoDB is a snap with the Navicat Visual Query Builder. It can be used to create, edit and run queries without having to worry about syntax and proper usage of commands. Additional features, like Code Completion and customizable Code Snippet simplify your coding efforts by providing suggestions for keywords and eliminating repetitious coding.

For DBAs, Navicat for MongoDB provides an Intelligent Object Designer. It enables you to create, modify and manage all database objects using built-in professional advice and guidance. You can preview results on each step and debug the sampled data before running your jobs. And the Smart Schema Analyzer can be used to help you visually discover and explore your schema. With it, you can analyze your documents and display the structures within your collections, thereby making it easy to understand your data’s schema, find schema anomalies and inspect outliers.

Navicat for MongoDB even provides an intuitive Backup Utility that can be used to automate your backup process and reduces the potential for errors. You can set up a repeatable deployment process for job and script execution at a specific time or day.

Security is built into the product, too. It uses SSH Tunneling and SSL to ensure every connection is secure, stable, and reliable. You can use different authentication methods of database servers such as Kerberos and X.509 authentication.

Finally, you can use Navicat for MongoDB in the cloud to enable collaboration with your co-workers. Share your connection settings, queries and virtual groups with your coworkers anytime and anywhere.

All-in-all, Navicat for MongoDB goes a long way toward making your MongoDB environment as manageable as your relational environments.

You can download and try Navicat for MongoDB here:


I'm a strategist, researcher, and consultant with nearly three decades of experience in all facets of database systems development.
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1 Response to Managing MongoDB Databases with Navicat

  1. Pingback: Data Modeling with Navicat Data Modeler | Data and Technology Today

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