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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 vs PostgreSQL field by field

MongoDB, PostgreSQL compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
MongoDB
PostgreSQL
CategoryDatabasesDatabases
Pricing modelFreemiumOpen Source
Open sourceNot recordedYes
GitHub stars28.7K22.7K
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

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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