Software · head to head
CouchDB vs Cassandra

Cassandra
Software
Manage massive amounts of data with linear scalability
- 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; Cassandra no support for joins across tables
- They diverge on capability: CouchDB covers Multi-master Replication, Cassandra covers Linear Scalability.
Where they differ
Only the attributes on which CouchDB and Cassandra actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Cassandra
- Linear Scalability
- Fault Tolerance
- Multi-datacenter Replication
- Tunable Consistency
- CQL Query Language
- Distributed Architecture
- No Single Point of Failure
- DataStax
Both cover
- Linux support
- Windows 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 Cassandra
- Multi-master deployments where data consistency eventually resolves across regionsnot Cassandra
- IoT and edge computing scenarios with intermittent connectivitynot Cassandra
Cassandra
- Real-time applicationsnot CouchDB
- Content managementnot CouchDB
- User profilesnot CouchDB
- Mobile backendsnot CouchDB
- Cachingnot 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
Cassandra
- No support for joins across tables
- No ACID transactions across multiple rows
- Data model must be designed around query patterns upfront, making schema evolution difficult
- Partition key misconfigurations can cause uneven data distribution and hotspots that degrade performance
Pricing, plan by plan
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
Cassandra
FreeNo published plan breakdown. See the Cassandra review.
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 Cassandra if
- You need linear scalability.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want fault tolerance.
Questions people ask
- Is CouchDB or Cassandra better?
- Neither clearly leads. CouchDB starts at Free and Cassandra at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CouchDB or Cassandra?
- CouchDB starts at Free and Cassandra at Free.
- Does CouchDB or Cassandra run on more platforms?
- CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi. Cassandra runs on Linux, macOS, Windows, Docker, Kubernetes.
- 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 Cassandra is typically brought in for.
- What can CouchDB do that Cassandra cannot?
- CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics. Cassandra covers Linear Scalability, Fault Tolerance, Multi-datacenter Replication, Tunable Consistency. Both handle Linux support, Windows support, Mac support, Docker support.
Answered from the vendors’ own pages
Cassandra: Does Cassandra support joins between tables?
No. Cassandra does not support joins or foreign keys. The data model requires denormalization, meaning data must be duplicated across tables to support different query patterns.
SourceCassandra: Does Cassandra offer ACID transactions?
No. Cassandra provides only row-level atomicity and isolation, not full ACID transactions across multiple rows or tables. It uses lightweight transactions via Paxos for per-row compare-and-set operations.
SourceCassandra: What programming languages can connect to Cassandra?
Cassandra supports official drivers for multiple languages including Python, Java, Node.js, and Go, allowing applications to communicate via the native Cassandra protocol.
SourceCassandra: Can I deploy Cassandra in the cloud?
Yes. Cassandra can run on any cloud platform (AWS, Google Cloud, Azure) via Docker, virtual machines, or managed services like DataStax Astra DB, which provides a fully managed DBaaS option.
SourceCassandra: Does Cassandra have a free option?
The open source Apache Cassandra is free. DataStax also offers Astra DB with a free tier providing up to 25GB storage and 25 million read/write operations per month.
SourceRelated pages
Keep looking
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