Software · head to head
CouchDB vs Elasticsearch Service
The short version
- Each has a real cost: CouchDB append-only storage model may have performance implications for certain workloads with high update rates; Elasticsearch Service the 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- They diverge on capability: CouchDB covers Multi-master Replication, Elasticsearch Service covers Full-text search.
Where they differ
Only the attributes on which CouchDB and Elasticsearch Service actually diverge.
| Attribute | CouchDB | Elasticsearch Service |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi | Web, Api |
| Founded | 1999 | 2011 |
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 Elasticsearch Service
- Full-text search
- Scalability
- High availability
- Security
- API
- Webhooks
- REST
- Web 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 Elasticsearch Service
- Multi-master deployments where data consistency eventually resolves across regionsnot Elasticsearch Service
- IoT and edge computing scenarios with intermittent connectivitynot Elasticsearch Service
Elasticsearch Service
- Managed Elasticsearch without running the clusternot CouchDB
- Log and observability data storage and searchnot CouchDB
- Full-text search behind an applicationnot CouchDB
- Deployments needing a specific cloud region across AWS, Azure or GCPnot 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
Elasticsearch Service
- The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
- Serverless does not yet support traffic filtering, cross-project search or bring-your-own-key encryption
- Serverless runs on AWS, GCP and Azure only, against 60 regions for the hosted option
- Per-unit prices are not published; hosted is resource-based and serverless usage-based
Pricing, plan by plan
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
Elasticsearch Service
Free- FreeFree
- Full-text search
- Scalability
- High availability
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 Elasticsearch Service if
- You need full-text search.
- You want to start without paying.
- You work on Web, Api.
- You also want scalability.
Questions people ask
- Is CouchDB or Elasticsearch Service better?
- Neither clearly leads. CouchDB starts at Free and Elasticsearch Service at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CouchDB or Elasticsearch Service?
- CouchDB starts at Free and Elasticsearch Service at Free.
- Does CouchDB or Elasticsearch Service run on more platforms?
- CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi. Elasticsearch Service runs on Web, Api.
- 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 Elasticsearch Service is typically brought in for.
- What can CouchDB do that Elasticsearch Service cannot?
- CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics. Elasticsearch Service covers Full-text search, Scalability, High availability, Security.
Related pages
More on Elasticsearch Service
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