Technology · head to head
MongoDB vs PostgreSQL
PostgreSQL
Database & Data Management
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Each has a real cost: MongoDB 16 MB maximum document size limits large single objects; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: MongoDB covers Document model, PostgreSQL covers ACID Compliance.
Where they differ
Only the attributes on which MongoDB and PostgreSQL actually diverge.
| Attribute | MongoDB | PostgreSQL |
|---|---|---|
| Platforms | Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure) | Linux, Windows, macOS, BSD, Unix |
| Category | Technology | Database & Data Management |
| Founded | 2007 | 1996 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in MongoDB
- Document model
- Distributed architecture
- ACID transactions
- Real-time analytics
- Full-text search
- Time series data
- Geospatial queries
- Aggregation framework
Only in PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
What people use each for
The jobs each tool is most often brought in to do.
MongoDB
- Mobile applicationsnot PostgreSQL
- Content managementnot PostgreSQL
- Real-time analyticsnot PostgreSQL
- IoT applicationsnot PostgreSQL
- Gaming backendsnot PostgreSQL
PostgreSQL
- Transaction processingnot MongoDB
- Data storagenot MongoDB
- Application backendnot MongoDB
- Reportingnot MongoDB
- Data analyticsnot MongoDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
MongoDB
- 16 MB maximum document size limits large single objects
- No native JOIN support for relational data operations
- Higher memory usage due to storing field names with each document
- Eventual consistency in distributed deployments can cause data stale reads
PostgreSQL
- Requires manual scaling across multiple machines for very large deployments
- Performance tuning requires deep knowledge of database internals
- No built-in graphical admin interface; command-line tools are primary method
Pricing, plan by plan
MongoDB
Free- M0Free
- 512 MB storage
- Learning and exploration
- M2$9/month
- 2 GB storage
- Development and testing
- M5$25/month
- 5 GB storage
- M10+$56.94/month
- Dedicated clusters for production
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL review.
Which should you pick?
Choose MongoDB if
- You need document model.
- You want to start without paying.
- You work on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
- You also want distributed architecture.
Choose PostgreSQL if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, macOS, BSD, Unix.
- You also want json/jsonb support.
Questions people ask
- Is MongoDB or PostgreSQL better?
- Neither clearly leads. MongoDB starts at Free and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, MongoDB or PostgreSQL?
- MongoDB starts at Free and PostgreSQL at Free.
- Does MongoDB or PostgreSQL run on more platforms?
- MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure). PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- Can I use MongoDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is MongoDB best used for?
- MongoDB is most often used for mobile applications, content management, real-time analytics, iot applications. Of those, mobile applications and content management are not what PostgreSQL is typically brought in for.
- What can MongoDB do that PostgreSQL cannot?
- MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility.
Answered from the vendors’ own pages
MongoDB: Does MongoDB offer a free tier?
Yes. MongoDB Atlas offers an M0 free tier with 512 MB storage for learning and exploration, plus paid options starting at $9/month for M2 with 2 GB storage.
SourcePostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
SourceMongoDB: Can I self-host MongoDB?
Yes. You can run MongoDB Community Edition on your own servers, or use MongoDB Enterprise Advanced for self-managed production deployments with enterprise features.
SourcePostgreSQL: What platforms does PostgreSQL run on?
PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.
SourceMongoDB: What is the maximum document size in MongoDB?
Documents are limited to 16 MB. For documents exceeding this limit, you can use MongoDB's GridFS API to store files larger than the maximum size.
SourcePostgreSQL: What procedural languages are supported?
PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.
SourceMongoDB: Does MongoDB support ACID transactions?
Yes. MongoDB supports ACID transactions within a single document by default, and multi-document ACID transactions are available for replica sets and sharded clusters in MongoDB 4.0+.
SourcePostgreSQL: What is ACID compliance in PostgreSQL?
PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.
SourcePostgreSQL: Does PostgreSQL support JSON data?
Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.
SourceRelated pages
Other head to heads
- MongoDB vs Asana
- MongoDB vs ClickUp
- MongoDB vs Figma
- MongoDB vs Linear
- MongoDB vs Monday.com
- MongoDB vs Greenhouse
- MongoDB vs Notion
- MongoDB vs Amplitude
- MongoDB vs Datadog
- MongoDB vs PostHog
- MongoDB vs PyCharm
- MongoDB vs Sketch
- MongoDB vs Docker
- MongoDB vs Netlify
- MongoDB vs Okta
- MongoDB vs Aha!
- MongoDB vs Coda
- MongoDB vs Dashlane
- MongoDB vs Cockroach Labs
- MongoDB vs Airtable
- MongoDB vs Amazon Aurora
- MongoDB vs Elasticsearch
- MongoDB vs PlanetScale
- MongoDB vs Azure SQL
- MongoDB vs ClickHouse
- MongoDB vs Couchbase
- MongoDB vs DuckDB
- MongoDB vs DynamoDB
- MongoDB vs MariaDB
- MongoDB vs Oracle Database
- MongoDB vs Amazon RDS
- MongoDB vs Amazon Redshift
- MongoDB vs Apache Druid
- MongoDB vs Cassandra
- MongoDB vs CouchDB
- MongoDB vs Firebolt
- PostgreSQL vs Asana
- PostgreSQL vs ClickUp
- PostgreSQL vs Figma
- PostgreSQL vs Linear
- PostgreSQL vs Monday.com
- PostgreSQL vs Greenhouse
- PostgreSQL vs Notion
- PostgreSQL vs Amplitude
- PostgreSQL vs Datadog
- PostgreSQL vs PostHog
- PostgreSQL vs PyCharm
- PostgreSQL vs Sketch
- PostgreSQL vs Docker
- PostgreSQL vs Netlify
- PostgreSQL vs Okta
- PostgreSQL vs Aha!
- PostgreSQL vs Coda
- PostgreSQL vs Dashlane
- PostgreSQL vs Cockroach Labs
- PostgreSQL vs Airtable
- PostgreSQL vs Amazon Aurora
- PostgreSQL vs Elasticsearch
- PostgreSQL vs PlanetScale
- PostgreSQL vs Azure SQL
- PostgreSQL vs ClickHouse
- PostgreSQL vs Couchbase
- PostgreSQL vs DuckDB
- PostgreSQL vs DynamoDB
- PostgreSQL vs MariaDB
- PostgreSQL vs Oracle Database
- PostgreSQL vs Amazon RDS
- PostgreSQL vs Amazon Redshift
- PostgreSQL vs Apache Druid
- PostgreSQL vs Cassandra
- PostgreSQL vs CouchDB
- PostgreSQL vs Firebolt

