CRUD, which is a short form for Create, Read, Update, Delete, is a model that captures the four rights that are executable on data in a database. For example, MongoDB, a NoSQL of high popularity, provides developers with the opportunity to work with large volumes of unstructured or semi-structured data. Flexible schema and high availability make MongoDB a perfect solution for applications that may change a lot.

In this tutorial, we will explain CRUD operations in MongoDB and how you can manage your data with it. For each operation below, there are critical points to help you review them, and you will also be shown how to apply these in MongoDB environments.

What Are CRUD Operations?

• Create (C): It will create a new index and make a new document belonging to a new collection. In MongoDB systems, collections are equivalent to tables familiar in relational systems, but there is no fixed structure of the tables.
• Read (R): The redial operation to a collection gets documents. MongoDB employs the find() function, whereby the database returns document(s) that match the quizzes given to it.
• Update (U): This operator works on current content texts as mentioned below in the illustration. There are numerous update methods that you can use to perform primary updates where one or more fields are updated at the primary key location or to perform replace operations to replace an entire document.
• Delete (D): Delete operations delete records from sets of documents. Using MongoDB, one or multiple documents can be deleted depending on specified relational conditions.

1. Create Operation

• Purpose: Adding a new record into the MongoDB collection.
• Description: The insert() or insertMany() method helps you to add one or more documents to a collection. For example, in a “users” collection, a document may look like a user with parameters including name, age, email, and so on.

Subfields can be added to a MongoDB collection, and each subfield is a document with an arbitrary set of fields.

2. Read Operation

• Purpose: It is used to find existing data from a MongoDB collection.
• Description: The find() method used can be used to search documents in a collection. Filters can be passed to request specific documents.

For example, if you want to find all the users that meet a certain age or above, then you input the same in the find() query.

It supports basic and complex operations like searching, operations in subdocuments, and even sorting.

3. Update Operation

• Purpose: Update documents that are already managed in one or multiple MongoDB collections.
• Description: Updates are possible with updateOne(), updateMany(), and replaceOne() at MongoDB. With these methods, you can update one or two parts of a document (specific fields and all) depending on certain conditions.

Example: To change an email used by a specific user, the update() method is used with the desired field of modification.

4. Delete Operation

• Purpose: Some operations are as follows: Delete documents from a MongoDB collection.
• Description: MongoDB’s delete () and deleteMany() functions perform the delete operation on a specific filter or more with higher precision. This is particularly helpful in the removal of older and nonessential data, for example, in the Archives block.

Examples of how CRUD is Employed in MongoDB

• E-commerce Platforms: See it as a repository of product information, users, and transactions.
• Social Media Applications: Control the activity of a user, a post, and their interaction with other content and users.
• Content Management Systems (CMS): They are used to store the content data, the user roles, and permission structures.
• Real-Time Applications: Act on 2x the amount of logs, activity streams, or real-time analytics.

What makes CRUD operations in MongoDB advantageous?

• Flexibility: The structure of MongoDB is flexible—schemaless—which enables the storing of diverse types of documents, especially useful for the data whose type changes frequently.
• Scalability: This is capable of supporting horizontal scalability, which is crucial to controlling large amounts of data across different servers.
• Rich Query Language: MongoDB has basic read/write operations where CRUD is easily accomplished, packaged with an effective query language for use in queries large and small.
• High Availability: Another feature of MongoDB is the built-in replication, which guarantees high availability, and puts MongoDB into the category of mission-critical systems.

MongoDB vs. Relational Databases for CRUD

Unlike relation databases, where a scheme is to be pre-defined and the structure of the table is to be followed strictly, MongoDB helps the developer insert documents into the collection with flexible schema—the number of members in each document of a collection can be different. This flexibility makes MongoDB an ideal choice for use in applications in which a data structure is likely to change frequently or big data are involved.

Final Thoughts

As has been established, CRUD operations are of utmost importance when working with NoSQL databases in general and MongoDB in particular. These operate as the foundation of data manipulation and allow you to build functional interactions with your application’s data to update and maintain data when necessary. MongoDB's performance, together with its versatility, makes it ideal for use in current web and mobile applications.