Is MongoDB a relational database?

No, MongoDB is a NoSQL, document-oriented database. It stores data as flexible JSON-like documents (BSON) instead of rows in fixed-schema tables.

The MongoDB Community Server is free and open-source. MongoDB also offers Atlas, a paid, fully managed cloud database service.

BSON (Binary JSON) is the binary-encoded format MongoDB uses internally to store documents, extending JSON with additional types like dates and binary data.

Does MongoDB support transactions?

Yes, modern versions of MongoDB support multi-document ACID transactions, though its data model still encourages designing documents to minimize the need for them.

What is the difference between MongoDB and Mongoose?

MongoDB is the database itself, while Mongoose is a separate library that adds schema definitions, validation, and a more structured query API on top of MongoDB for Node.js applications.

How does MongoDB scale?

MongoDB scales horizontally through sharding, distributing collections of documents across multiple servers, and it scales for availability through replica sets that provide automatic failover.

Is MongoDB good for beginners?

Its JSON-like documents are often considered easier to start with than relational tables and joins, especially for developers coming from JavaScript, though relational databases still teach important data-modeling fundamentals.

What is MongoDB Atlas?

MongoDB Atlas is MongoDB's official fully managed cloud database service, available on AWS, Azure, and Google Cloud, handling provisioning, scaling, and backups.

Database

MongoDB

By MongoDB, Inc.

BeginnerTool2.6K learners

MongoDB is an open-source, document-oriented NoSQL database that stores data as flexible, JSON-like documents (BSON) rather than rows and columns in fixed tables.

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Definition

MongoDB is an open-source, document-oriented NoSQL database that stores data as flexible, JSON-like documents (BSON) rather than rows and columns in fixed tables.

Overview

MongoDB was first released in 2009 by the company then known as 10gen, later renamed MongoDB, Inc., as part of a broader effort to build easier, more scalable web infrastructure. Its document model was designed to map more naturally onto how developers think in objects and JSON, especially in JavaScript-based stacks. Instead of enforcing a fixed schema across rows in a table like MySQL or PostgreSQL, MongoDB stores records as documents that can nest arrays and sub-objects and vary in structure from one document to the next. Collections of documents can be indexed, sharded across servers for horizontal scaling, and replicated for high availability, and the query language uses JSON-like filter documents rather than SQL. MongoDB became closely associated with the MEAN and MERN stacks—paired with Express.js, React, and Node.js—where developers typically access it through an ODM like Mongoose. Beyond self-hosting, MongoDB Atlas offers it as a fully managed cloud database across major cloud providers, and SkillVeris's Project: Build a Full-Stack To-Do App with React, Node.js and MongoDB walks through a typical MERN-stack build.

Key Features

Flexible, schema-less document model based on BSON (binary JSON)
Horizontal scaling through built-in sharding
Replica sets for automatic failover and high availability
Rich query language supporting filtering, aggregation pipelines, and indexing
Native support for nested arrays and sub-documents
Change streams for reacting to data changes in real time
Full-text and geospatial indexing options
MongoDB Atlas managed service across AWS, Azure, and Google Cloud
Strong ecosystem of drivers and ODMs across most programming languages

Use Cases

Backing web and mobile applications with rapidly evolving data models

Storing content that naturally maps to nested JSON, like product catalogs

Powering real-time applications with change streams

Serving as the database layer in MEAN/MERN-stack applications

Running content management systems and user-generated content platforms

Storing IoT and event data at high write volume

Building catalogs and recommendation systems with flexible schemas

Running analytics via MongoDB's aggregation framework

History

MongoDB is a document-oriented NoSQL database that stores data in flexible, JSON-like documents rather than rigid relational tables. It was created by the company originally named 10gen, founded in 2007 in New York City by Dwight Merriman, Eliot Horowitz, and Kevin Ryan — veterans of the ad-tech company DoubleClick who had hit the scaling limits of relational databases. Initially building a platform-as-a-service, the team recognized that their database layer was the most valuable piece and pivoted to it, releasing MongoDB as open source in 2009 (the name derives from "humongous"). The company renamed itself MongoDB Inc. in 2013, and MongoDB became one of the most popular NoSQL databases and a widely used choice for modern applications.

Sources

MongoDB — "Our Story" · as of 2026-07-17
MongoDB on GitHub — mongodb/mongo · as of 2026-07-17

Frequently Asked Questions

From the Blog

Projects & Case Studies

Project: Build a Full-Stack To-Do App with React, Node.js and MongoDB

A full-stack to-do app is the perfect first MERN project — it covers every concept you'll use in production: REST APIs, database CRUD operations, JWT authentication, and deploying a frontend and backend separately. Build it once, understand the full stack.