Side by side
Apache AsterixDB 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+2
AsterixDB brings ingestion, storage, indexing, and querying together for semistructured data. Its self-hosted deployment and stated transactional capabilities are important considerations.
Visit Apache AsterixDB
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 AsterixDB | JayDB | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Yes |
| Runs on | API, Linux, Mac, Self-hosted, Web | 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 AsterixDB | Not published |
| Website | asterixdb.apache.org | jaydb.com |
| On document databases | #3 of 28 | #1 of 28 |
Apache AsterixDB: what it does well
- Free, open-source self-hosted system.
- Queries external datasets without loading all data first.
- Supports SQL++ and AQL for semistructured data.
- Continuous feeds include Twitter, RSS, and socket sources.
- Offers several secondary index types.
What to know first
- Deployment is self-hosted.
- Basic transactional concurrency and recovery capabilities are described.
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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