Software · head to head
CouchDB vs Apache Pinot
Apache Pinot
Software
Real-time distributed OLAP datastore for analytics
- 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; Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- They diverge on capability: CouchDB covers Multi-master Replication, Apache Pinot covers Real-time Analytics.
Where they differ
Only the attributes on which CouchDB and Apache Pinot actually diverge.
| Attribute | CouchDB | Apache Pinot |
|---|---|---|
| Platforms | Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi | Linux, Docker, Kubernetes |
Identical on both: starting price (Free), pricing model (open-source), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (1999).
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 Apache Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- SQL Support
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Kafka
Both cover
- Linux 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 Apache Pinot
- Multi-master deployments where data consistency eventually resolves across regionsnot Apache Pinot
- IoT and edge computing scenarios with intermittent connectivitynot Apache Pinot
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot CouchDB
- User-facing dashboards inside a productnot CouchDB
- Real-time metrics at high ingest ratesnot CouchDB
- Petabyte-scale analytics as run at LinkedIn and Ubernot 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
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
Pricing, plan by plan
CouchDB
FreeNo published plan breakdown. See the CouchDB review.
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
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 Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want column-oriented.
Questions people ask
- Is CouchDB or Apache Pinot better?
- Neither clearly leads. CouchDB starts at Free and Apache Pinot at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CouchDB or Apache Pinot?
- CouchDB starts at Free and Apache Pinot at Free.
- Does CouchDB or Apache Pinot run on more platforms?
- CouchDB runs on Docker, Windows (x64), macOS, Linux (Debian, Ubuntu, RHEL, CentOS), Raspberry Pi. Apache Pinot runs on Linux, 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 Apache Pinot is typically brought in for.
- What can CouchDB do that Apache Pinot cannot?
- CouchDB covers Multi-master Replication, HTTP/JSON API, MapReduce Views, ACID Semantics. Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Both handle Linux support, Docker support.