Database & Data Management · head to head
CouchDB vs Dgraph

CouchDB
Database & Data Management
Seamless multi-master sync with Apache CouchDB
- From
- Free
- Rated
- -

Dgraph
Database & Data Management
The only native GraphQL database with graph backend
- From
- Free
- Rated
- -
The short version
- Each has a real cost: CouchDB append-only storage model may have performance implications for certain workloads with high update rates; Dgraph the GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
- They diverge on capability: CouchDB covers Multi-master Replication, Dgraph covers Native GraphQL.
Where they differ
Only the attributes on which CouchDB and Dgraph actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 Dgraph
- Native GraphQL
- Distributed Architecture
- ACID Transactions
- GraphQL Subscriptions
- Full-text Search
- Geolocation Queries
- Horizontal Scaling
- GraphQL
Both cover
- Linux support
- Mac support
- Docker support
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 Dgraph
- Multi-master deployments where data consistency eventually resolves across regionsnot Dgraph
- IoT and edge computing scenarios with intermittent connectivitynot Dgraph
Dgraph
- Knowledge graphsnot CouchDB
- Fraud detectionnot CouchDB
- Recommendation enginesnot CouchDB
- Network analysisnot CouchDB
- Master data managementnot 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
Dgraph
- The GitHub repository (dgraph-io/dgraph) is licensed Apache 2.0 with no paid tier, cloud offering, or enterprise edition mentioned anywhere in the README
Pricing, plan by plan
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- Enterprise support
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 Dgraph if
- You need native graphql.
- You want to start without paying.
- You work on Linux, Mac, Docker, Web.
- You also want distributed architecture.
Questions people ask
- Is CouchDB or Dgraph better?
- Neither clearly leads. CouchDB starts at Free and Dgraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CouchDB or Dgraph?
- CouchDB starts at Free and Dgraph at Free.
- Does CouchDB or Dgraph run on more platforms?
- CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi. Dgraph runs on Linux, Mac, Docker, Web.
- 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 Dgraph is typically brought in for.
- What can CouchDB do that Dgraph cannot?
- CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics. Dgraph covers Native GraphQL, Distributed Architecture, ACID Transactions, GraphQL Subscriptions. Both handle Linux support, Mac support, Docker support.
Related pages
Other head to heads
- CouchDB vs Cockroach Labs
- CouchDB vs PostgreSQL
- CouchDB vs Airtable
- CouchDB vs Amazon Aurora
- CouchDB vs Elasticsearch
- CouchDB vs PlanetScale
- CouchDB vs Azure SQL
- CouchDB vs ClickHouse
- CouchDB vs Couchbase
- CouchDB vs DuckDB
- CouchDB vs DynamoDB
- CouchDB vs MariaDB
- CouchDB vs Oracle Database
- CouchDB vs Amazon RDS
- CouchDB vs Amazon Redshift
- CouchDB vs Apache Druid
- CouchDB vs Cassandra
- CouchDB vs Firebolt
- Dgraph vs Cockroach Labs
- Dgraph vs PostgreSQL
- Dgraph vs Airtable
- Dgraph vs Amazon Aurora
- Dgraph vs Elasticsearch
- Dgraph vs PlanetScale
- Dgraph vs Azure SQL
- Dgraph vs ClickHouse
- Dgraph vs Couchbase
- Dgraph vs DuckDB
- Dgraph vs DynamoDB
- Dgraph vs MariaDB
- Dgraph vs Oracle Database
- Dgraph vs Amazon RDS
- Dgraph vs Amazon Redshift
- Dgraph vs Apache Druid
- Dgraph vs Cassandra
- Dgraph vs Firebolt
