What is MongoDB – MongoDB Tutorial For Beginners

What is MongoDB – MongoDB Tutorial For Beginners. Mongo DB is a non-relational database (NoSql) that is very popular in the IT industry in the recent years. Here Coding compiler sharing a MongoDB introduction tutorial for beginners. Let’s start learning MongoDB and happy learning.

What is MongoDB?

What is MongoDB – MongoDB is a database based on distributed file storage. Written in the C++ language. Designed to provide scalable, high-performance data storage solutions for web applications.

MongoDB is a product between a relational database and a non-relational database. It is the most versatile and most relational database in a non-relational database. 

The data structure he supports is very loose and is similar to json’s bson format, so it can store more complex data types. The biggest feature of Mongo is that the query language he supports is very powerful. The syntax is similar to the object-oriented query language. It can realize almost all the functions of a single database query similar to the relational database, and also supports indexing data.

What are the characteristics of MongoDB?

The characteristics of MongoDB are high performance, easy deployment, and ease of use, making it easy to store data. The main features are:

* For collection storage, easy to store data of object types.

* Mode is free.

* Support dynamic query.

* Support full index, including internal objects.

* Support for queries.

* Support for replication and failure recovery.

* Use efficient binary data storage, including large objects (such as video).

* Automatically handle fragmentation to support scalability at the cloud level

* Support RUBY, PYTHON, JAVA, C++, PHP, C# and other languages.

* The file storage format is BSON (a JSON extension).

* Accessible via the web.

What is the use of MongoDB?

The so-called “Collection-Oriented” means that data is grouped and stored in a data set, called a collection. Each collection has a unique distinguished name in the database and can contain an unlimited number of documents. 

The concept of a collection is similar to a table in a relational database (RDBMS), except that it does not need to define any schema. The flash cache algorithm in Nytro MegaRAID technology quickly identifies hot data in large data sets in the database, providing consistent performance improvements.

 Schema-free means that we don’t need to know any structure definitions for files stored in the MongoDB database. If you need to, you can store files of different structures in the same database. Documents stored in collections are stored as key-value pairs. 

The key is used to uniquely identify a document as a string type, while the value can be a variety of complex file types. We call this storage form BSON (Binary Serialized Document Format).

When do we use MongoDB -MongoDB Application Scenarios

The main goal of MongoDB is to build up between key/value storage (providing high performance and high scalability) and traditional RDBMS systems (with rich features)

Mongo is suitable for the following scenarios:

● Website data: Mongo is ideal for real-time insertion, update and query, and has the replication and high scalability required for real-time data storage on the website.

● Cache: Due to its high performance, Mongo is also suitable as a caching layer for the information infrastructure. After the system is restarted, the persistent cache layer built by Mongo can avoid overloading the underlying data source.

● Large, low-value data: Using traditional relational databases to store some data can be expensive. Before that, programmers often chose traditional files for storage.

● Highly scalable scenarios: Mongo is ideal for databases consisting of tens or hundreds of servers, and Mongo’s roadmap already includes built-in support for the MapReduce engine.

● For storage of objects and JSON data: Mongo’s BSON data format is ideal for storage and query in documented formats.

There are some restrictions on the use of MongoDB, for example, it is not suitable for the following places.

● Highly transactional systems: for example, banks or accounting systems. Traditional relational databases are still more suitable for applications that require a large number of atomic complex transactions.

● Traditional business intelligence applications: BI databases for specific problems produce highly optimized queries. For such applications, data warehousing may be a more appropriate choice.

● A problem with SQL is required.

The scenarios that Mongo does not apply are as follows:

  1. A highly transactional system is required.
  2. Traditional business intelligence applications.
  3. Complex cross-document (table) cascading queries.

Who uses MongoDB Application

  •  I use MongoDB to archive billions of records on Craiglist.
  •  FourSquare, a location-based social networking site that uses MongoDB to share data on Amazon EC2 servers.
  •  Shutterfly, an Internet-based social and personal publishing service, uses MongoDB’s various persistent data storage requirements.
  •  Bit.ly, a web-based URL shortening service that uses MongoDB to store its own data.
  •  Spike.com, an associate of MTV Networks, spike.com uses MongoDB.
  •  Intuit, a software and service provider for small businesses and individuals, uses MongoDB to track user data for small businesses.
  •  Sourceforge.net, the resource website to find, create and publish open source software for free, using MongoDB’s backend storage.
  •  Etsy.com, a website for buying and selling handmade items, uses MongoDB.
  •  The New York Times, one of the leading online news portals, uses MongoDB.
  •  CERN, the famous Institute of Particle Physics, and the CERN Large Hadron Collider use MongoDB.

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