MongoDB vs PostgreSQL

MongoDB and PostgreSQL are both listed under Databases in the DevPages directory. This page puts the details we hold for each of them side by side.

It does not score them and does not pick a winner. Fields the catalog has no value for say “Not recorded” rather than being filled in with a guess.

MongoDB, PostgreSQL compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
	MongoDB	PostgreSQL
Category	Databases	Databases
Pricing model	Freemium	Open Source
Open source	Not recorded	Yes
GitHub stars	28.5K	21.8K
Key features	Flexible document-based data model Rich query language and aggregation Horizontal scaling with sharding ACID transactions across documents Built-in replication and high availability GridFS for large file storage Text search and geospatial queries Change streams for real-time updates	ACID compliance and transactions Advanced SQL features and window functions JSON and JSONB data types Full-text search capabilities Geospatial data support with PostGIS Custom data types and functions Streaming replication and high availability Extensive indexing options
Use cases	Web and mobile application backends Content management systems Real-time analytics and IoT Product catalogs and inventory User profiles and personalization Event logging and monitoring Agile development and prototyping Multi-location data management	Web application backends Data warehousing and analytics Geospatial applications Financial and e-commerce systems Content management systems Time-series data storage Multi-tenant applications Enterprise data management
Integrations	Node.js Python Java C# Express.js Mongoose Spring Data Kubernetes	Django Rails Node.js Java Python Kubernetes Docker Grafana
Tags	nosql document json scaling cloud atlas	sql relational acid json geospatial full-text-search
Links	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)

What each one is

MongoDB

Document-oriented NoSQL database for modern applications

MongoDB is a leading NoSQL database that stores data in flexible, JSON-like documents. It's designed for modern application development with features like horizontal scaling, rich query language, and strong consistency. MongoDB is ideal for applications requiring flexible schemas and rapid development cycles.

Full MongoDB listing

PostgreSQL

Advanced open-source relational database with powerful features

PostgreSQL is a powerful, open-source object-relational database system with a strong reputation for reliability, feature robustness, and performance. It supports both SQL and JSON querying, making it a versatile choice for modern applications. PostgreSQL offers advanced features like custom data types, full-text search, and geospatial data support.

Full PostgreSQL listing

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MongoDB, PostgreSQL compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
	MongoDB	PostgreSQL
Category	Databases	Databases
Pricing model	Freemium	Open Source
Open source	Not recorded	Yes
GitHub stars	28.5K	21.8K
Key features	Flexible document-based data model Rich query language and aggregation Horizontal scaling with sharding ACID transactions across documents Built-in replication and high availability GridFS for large file storage Text search and geospatial queries Change streams for real-time updates	ACID compliance and transactions Advanced SQL features and window functions JSON and JSONB data types Full-text search capabilities Geospatial data support with PostGIS Custom data types and functions Streaming replication and high availability Extensive indexing options
Use cases	Web and mobile application backends Content management systems Real-time analytics and IoT Product catalogs and inventory User profiles and personalization Event logging and monitoring Agile development and prototyping Multi-location data management	Web application backends Data warehousing and analytics Geospatial applications Financial and e-commerce systems Content management systems Time-series data storage Multi-tenant applications Enterprise data management
Integrations	Node.js Python Java C# Express.js Mongoose Spring Data Kubernetes	Django Rails Node.js Java Python Kubernetes Docker Grafana
Tags	nosql document json scaling cloud atlas	sql relational acid json geospatial full-text-search
Links	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)	Website (opens in a new tab) GitHub (opens in a new tab) Docs (opens in a new tab)

MongoDB

PostgreSQL