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MongoDB

Database Management

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★★★★☆ 4.5 / 5 on G2 · 4.6 on Capterra (500+ G2 reviews)
4.5 / 5
G2 rating [source]
2009
Founded [source]
Free
Community + Atlas tier [source]
Document
NoSQL [source]

Quick facts

CategoryDocument (NoSQL) database
VendorMongoDB
Founded2009
Starts atFree tier; Atlas usage based
Best forDocument and NoSQL
DeploymentSelf hosted and Atlas cloud
Free planCommunity and Atlas free tier
IntegrationsDrivers in every language, Atlas
G2 rating4.5 / 5
Capterra rating4.6 / 5

What is MongoDB?

MongoDB is the leading document (NoSQL) database, storing flexible JSON like documents, with the fully managed Atlas cloud, popular with developers for flexible schemas and modern application data. Instead of tables and rows, it stores data as flexible, JSON like documents (BSON), so schemas can evolve easily and data maps naturally to how applications use it, with powerful querying, indexing, aggregation, horizontal scaling (sharding) and replication. Available as free open source Community, self managed Enterprise, and especially the fully managed MongoDB Atlas cloud (with a free tier), it is the most popular document database and a favourite for modern application development. For document and NoSQL data, MongoDB is a leading choice.

MongoDB's distinction is being the leading, developer friendly document database with flexible schemas and a strong managed cloud. Its document model fits modern application data and evolving schemas better than rigid tables for many use cases, developers find it natural and productive, and Atlas delivers it fully managed and scalable, which is why it dominates document NoSQL. That flexible document model, developer experience and Atlas cloud set it apart.

MongoDB at a glanceMongoDB is the leading document (NoSQL) database with flexible documents and the Atlas cloud [MongoDB]. It holds about a 4.5 out of 5 rating on G2 and 4.6 on Capterra, popular with developers for flexible data.

Who MongoDB is best for

MongoDB is best for developers and teams building modern applications with flexible or evolving schemas, document oriented data, or needs for horizontal scale, who value developer productivity and a managed cloud (Atlas). It suits document and modern app data. It is a weaker fit for highly relational, transactional data with complex joins, where PostgreSQL, MySQL or Oracle fit, or pure analytics at scale, where Snowflake or BigQuery fit.

Key features

The core strengths are a flexible document (JSON like) data model, powerful querying, indexing and aggregation, horizontal scaling (sharding) and replication, and the fully managed MongoDB Atlas cloud (multi cloud, with search and vector search for AI). MongoDB offers drivers in every language and strong developer experience, free Community and Atlas tiers. Its flexible documents, developer friendliness and Atlas are its defining advantages.

MongoDB pricing

MongoDB Community Edition is free and open source to self host, and MongoDB Atlas (the managed cloud) has a free tier then usage based pricing (by cluster size, storage and features), with self managed Enterprise Advanced available commercially. So teams can start free (Community or Atlas free tier) and pay for managed Atlas as they scale. Costs scale with Atlas usage or your infrastructure. Confirm details via the MongoDB pricing page.

Integrations and ecosystem

MongoDB offers official drivers in every major language, a large ecosystem of tools and integrations, Atlas features (search, vector search, data federation), and strong community and documentation. Its drivers, developer tooling and Atlas ecosystem, which make building on MongoDB natural and productive across languages, are a signature strength.

MongoDB and flexible documents

The flexible document model and developer experience are the signature strength: MongoDB stores data as JSON like documents that map naturally to application objects and evolve easily, so developers build and iterate fast, and Atlas runs it managed and scalable, including vector search for AI. For modern application development with flexible data, this is the main reason to choose MongoDB.

Ease of use and support

MongoDB is highly rated for developer experience, flexibility and Atlas, with strong documentation, community and support. Its G2 reviews praise the document model, developer productivity and Atlas, with it being less suited to highly relational, join heavy workloads the main consideration.

Is MongoDB worth it?

For developers and teams building modern applications with flexible or evolving schemas and document data, who value productivity and a managed cloud, MongoDB is an excellent, leading choice. The main caution is that highly relational, transactional, join heavy data suits relational databases better, so those should use PostgreSQL, MySQL or Oracle, and analytics Snowflake or BigQuery, but for document and NoSQL data MongoDB leads.

Pricing

Community

$0
free
  • Document database
  • Self hosted
  • Open source

Atlas (managed cloud)

Free then usage
per cluster
  • Free tier
  • Managed, multi cloud
  • Search and vector search

Enterprise Advanced

Commercial
subscription
  • Self managed enterprise
  • Advanced features
  • Support

Pros and cons

Pros

  • Leading document (NoSQL) database
  • Flexible, evolving schemas
  • Great developer experience
  • Fully managed Atlas cloud
  • Vector search for AI

Cons

  • Less suited to join heavy relational data
  • Not for pure analytics at scale
  • Atlas cost scales with usage
  • Different model to learn for SQL users

MongoDB alternatives

These database management tools come up most often against MongoDB.

Oracle Database

Enterprise relational database management system

Microsoft SQL Server

Enterprise relational database and analytics

MySQL

Widely used open-source relational database

MongoDB FAQ

What is MongoDB used for?
MongoDB is used to store and manage document (JSON like) data for modern applications: flexible, evolving schemas with powerful querying, indexing, aggregation, horizontal scaling and replication, self hosted (Community) or via the managed MongoDB Atlas cloud, popular for developer productivity.
Is MongoDB free?
Yes. MongoDB Community Edition is free and open source to self host, and MongoDB Atlas (managed cloud) has a free tier then usage based pricing, so teams can start free and pay for managed Atlas as they scale. See the MongoDB pricing page.
What is the difference between MongoDB and a SQL database?
MongoDB is a document (NoSQL) database storing flexible JSON like documents with evolving schemas, while SQL databases like PostgreSQL store structured data in tables with fixed schemas. MongoDB suits flexible, document oriented data; SQL suits highly relational, transactional data.
What is MongoDB Atlas?
MongoDB Atlas is MongoDB's fully managed, multi cloud database service, handling operations like scaling, backups and patching, with a free tier and usage based pricing, plus features like Atlas Search and vector search for AI, so teams run MongoDB without managing infrastructure.
Is MongoDB good for AI?
Yes. MongoDB Atlas offers vector search, letting teams store and query embeddings for AI and retrieval augmented generation alongside their document data, which, with its flexible model, makes it a popular choice for AI powered applications.
MongoDB vs PostgreSQL, which is better?
MongoDB is a document database for flexible, evolving schemas and modern app data, while PostgreSQL is an advanced relational database (which also supports JSON). MongoDB suits document oriented data; PostgreSQL suits relational data with advanced features.

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