Databases · head to head
CouchDB vs MongoDB
The short version
- Each has a real cost: CouchDB append-only storage model may have performance implications for certain workloads with high update rates; MongoDB 16 MB maximum document size limits large single objects
- They diverge on capability: CouchDB covers Multi-master Replication, MongoDB covers Document model.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which CouchDB and MongoDB actually diverge.
Identical on both: starting price (Free), 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 CouchDB
- Multi-master Replication
- HTTP/JSON API
- MapReduce Views
- ACID Semantics
- Offline-first
- Conflict Resolution
- Fauxton UI
- PouchDB
Only in MongoDB
- Document model
- Distributed architecture
- ACID transactions
- Real-time analytics
- Full-text search
- Time series data
- Geospatial queries
- Aggregation framework
What people use each for
The jobs each tool is most often brought in to do.
CouchDB
- Offline-first applications requiring seamless replication across mobile and server environmentsnot MongoDB
- Multi-master deployments where data consistency eventually resolves across regionsnot MongoDB
- IoT and edge computing scenarios with intermittent connectivitynot MongoDB
MongoDB
- Mobile applicationsnot CouchDB
- Content managementnot CouchDB
- Real-time analyticsnot CouchDB
- IoT applicationsnot CouchDB
- Gaming backendsnot CouchDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
CouchDB
- Append-only storage model may have performance implications for certain workloads with high update rates
- Requires network synchronisation for cluster data consistency; can introduce latency in multi-master scenarios
- No explicit support for complex joins; MapReduce queries may be inefficient compared to relational databases
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
Pricing, plan by plan
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
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
Which should you pick?
Choose CouchDB if
- You need multi-master replication.
- You want to start without paying.
- You work on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi.
- You also want http/json api.
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.
Questions people ask
- Is CouchDB or MongoDB better?
- Neither clearly leads. CouchDB starts at Free and MongoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CouchDB or MongoDB?
- CouchDB starts at Free and MongoDB at Free.
- Does CouchDB or MongoDB run on more platforms?
- CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi. MongoDB runs on Cloud (Atlas), Self-hosted, Multi-cloud (AWS, Google Cloud, Azure).
- Can I use CouchDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is CouchDB best used for?
- CouchDB is most often used for offline-first applications requiring seamless replication across mobile and server environments, multi-master deployments where data consistency eventually resolves across regions, iot and edge computing scenarios with intermittent connectivity. Of those, offline-first applications requiring seamless replication across mobile and server environments and multi-master deployments where data consistency eventually resolves across regions are not what MongoDB is typically brought in for.
- What can CouchDB do that MongoDB cannot?
- CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics. MongoDB covers Document model, Distributed architecture, ACID transactions, Real-time analytics.
Answered from the vendors’ own pages
CouchDB: Is Apache CouchDB free to use?
Yes, Apache CouchDB is completely free to download and use. It is open source software licensed under the Apache License 2.0.
SourceMongoDB: 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.
SourceCouchDB: Can I use CouchDB for commercial purposes?
Yes, the Apache License 2.0 permits commercial use. The license is permissive and does not restrict business applications.
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.
SourceCouchDB: Is there a paid support or professional services option?
CouchDB's homepage mentions Professional Services as an available option, but no pricing details or specific service costs are listed. Contact the Apache CouchDB project for more information.
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.
SourceCouchDB: Who handles hosting costs if I use CouchDB?
CouchDB is self-hosted, so you are responsible for your own infrastructure and hosting costs. The software itself is free.
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+.
SourceRelated pages
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