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Today, I will talk to you about the use of MongoDB visualization tools, many people may not know much about it. In order to make you understand better, the editor has summarized the following content for you. I hope you can get something according to this article.

MongoDB is a NoSQL database. NoSQL (Not Only SQL), which means "not just SQL", generally refers to non-relational databases. One of the differences between the two types is storage. Relational database is stored in key-value pairs, and its structure is not fixed. Relational databases store data in two-dimensional tables of rows and columns. Therefore, non-relational databases (such as MongoDB) do not support standard SQL syntax.

If we are new to the Mongo database and are not familiar with the syntax, we want to operate it visually. So, today I would like to recommend two Mongo visualization tools.

1 Mongo Plugin

The editor most Python programmers use is Pycharm. Because Pycharm is a very user-friendly IDE tool. The Pycharm tool comes with visualization tools that support databases such as MySQL and SQLite. However, Mongo databases are not supported yet.

A foreign god dboissier specially developed a plug-in for Pycharm. Its name is Mongo Plugin. This allows us to manage the mongo database on Pycharm.

It is also convenient to install the plug-in, which can be installed by searching for mongo in the [settings]-[Plugin] option of Pycharm.

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Then find [Mongo Servers] in [settings] and configure the installation path of MongoDB. Then fill in the database configuration information of the connection, and you can operate the database.

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After successfully connecting to the database, you can operate on mongo's Collections (the equivalent of MySQL's table).

From the following figure, we know that the data is presented in the form of Key-Value. We can also modify or delete the data directly.

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Recommended reasons:

It is a plug-in for Pycharm. So we can operate directly in Pycharm, which is convenient and fast.

The data can be displayed graphically.

Basic operations of adding, deleting, modifying and searching are supported.

2 Nosqlclient

Nosqlclient is a cross-platform free MongoDB management tool. Because it is written with Node.js, which is the equivalent of a web application, we can deploy it directly to the server.

If we are using Windows or Mac systems, we do not need to install the Node.js environment and then run Nosqlclient. The official team has provided us with the installation package, we just need to download the installation, and then we can run it directly.

Download address: https://github.com/nosqlclient/nosqlclient

The interface uses a "simple" style, giving people a refreshing and comfortable feeling.

Database monitoring interface, you can monitor the current memory usage, data reading and writing

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Database management interface, support for managing users, exporting / importing data, etc.

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Tool interface, direct command line operation of the database, analysis of Collections (equivalent to MySQL table), and so on. I like this function best.

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Data management, add, delete, change and check the data.

After reading the above, do you have any further understanding of the use of MongoDB visualization tools? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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