MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++. This tutorial will give you the great understanding of MongoDB concepts needed to create and deploy a highly scalable and performance-oriented database.
MongoDB is a cross-platform, document-oriented database that provides, high performance, high availability, and easy scalability. MongoDB works on the concept of collection and document.
The database is a physical container for collections. Each database gets its own set of files on the file system. A single MongoDB server typically has multiple databases.
A collection is a group of MongoDB documents. It is the equivalent of an RDBMS table. A collection exists within a single database. Collections do not enforce a schema. Documents within a collection can have different fields. Typically, all documents in a collection are of similar or related purpose.
A document is a set of key-value pairs. Documents have the dynamic schema. Dynamic schema means that documents in the same collection do not need to have the same set of fields or structure, and common fields in a collection’s documents may hold different types of data.
MongoDB provides high-performance data persistence. In particular,
MongoDB supports a rich query language to support read and write operations (CRUD) as well as:
MongoDB’s replication facility, called a replica set, provides:
A replica set is a group of MongoDB servers that maintain the same data set, providing redundancy and increasing data availability.
MongoDB provides horizontal scalability as part of its core functionality:
In addition, MongoDB provides pluggable storage engine API that allows third parties to develop storage engines for MongoDB.
Any relational database has a typical schema design that shows the number of tables and the relationship between these tables. While in MongoDB, there is no concept of relationship.
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