Side by side
Apache CouchDB vs JayDB
Both stand on document databases. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxMac+3
Apache CouchDB offers a flexible document model, replication, and clustering in free self-hosted software. It is a fit for teams comfortable operating their own database and managing any conflicting revisions.
Visit Apache CouchDB
Free plan Open source AndroidAPIiPhone+5
Choose JayDB when an app needs per-user sign-in and straightforward JSON documents, with managed hosting or a self-hosted option. Look elsewhere if the data model requires joins, indexes, search, aggregation, vector search, or atomic changes across documents.
Visit JayDBThe facts
| Apache CouchDB | JayDB | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Yes |
| Runs on | API, Linux, Mac, Self-hosted, Web, Windows | Android, API, iPhone, Linux, Mac, Self-hosted, Web, Windows |
| Lowest paid plan | Free or on request | See the plans |
| Plans published | 1 | 7 |
| Maker | Apache CouchDB | Not published |
| Website | couchdb.apache.org | jaydb.com |
| On document databases | #4 of 28 | #1 of 28 |
Apache CouchDB: what it does well
- Documents can include fields and binary attachments.
- Incremental replication supports synchronization in both directions.
- Clusters can span multiple servers or virtual machines.
- Security features include authentication and reader access controls.
- Free software under Apache License 2.0.
What to know first
- It is self-hosted on servers or virtual machines.
- Conflicting document revisions may need resolution.
- Support is offered through a user mailing list.
JayDB: what it does well
- Offers managed cloud and a self-hosted MIT-licensed Go engine.
- Free plan includes 1 GB, 100,000 reads, and 10,000 writes monthly.
- REST API supports GET, PUT, DELETE, and prefix listing.
- PKCE sign-in and several identity provider options are supported.
- Official SDK includes token refresh and compare-and-swap operations.
What to know first
- No secondary indexes, joins, or full-text search.
- No transactions or atomic writes across multiple documents.
- No vector search or aggregation.
- Sustained writes to one hot key can lead to retry buildup.
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