Amazon DocumentDB vs Apache AsterixDB
Amazon DocumentDB
aws.amazon.com
Apache AsterixDB
asterixdb.apache.orgSide by side
| Figure | Amazon DocumentDB | Apache AsterixDB |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 11 | 1 |
| Spec score · Document Databases | 9.0 (#1) | 8.3 (#7) |
| Spec score · Database Software | 8.5 (#28) | 7.8 (#55) |
| Founded | 2006 | 2009 |
| Transactions | Multi-document, multi-collection and multi-database ACID transactions are supported from version 4.0, with a 32 MB log limit and one-minute transaction timeout. | The documentation describes basic transactional concurrency and recovery capabilities akin to those of a NoSQL store. |
Plans
Amazon DocumentDB
- Serverless — StandardPrice not published
- Serverless — I/O-OptimizedPrice not published
- Provisioned On-Demand — StandardPrice not published
- Provisioned On-Demand — I/O-OptimizedPrice not published
- Amazon DocumentDB free trialFree
- Free trialFree
- Amazon DocumentDB Serverless (Standard)$0.08 a month
- Amazon DocumentDB Serverless (I/O-Optimized)$0.09 a month
- DocumentDB I/O-OptimizedPrice not published
- DocumentDB ServerlessPrice not published
In their own words
Amazon DocumentDB
Amazon DocumentDB has no write-up on Specifiction yet; its figures are above.
Apache AsterixDB
Apache AsterixDB is a free, open source, self-managed Big Data Management System for ingesting, storing, indexing, querying and analyzing data. Its Asterix Data Model extends JSON with object-database concepts, while SQL++ and AQL provide declarative queries for semistructured information. Partitioned LSM-based storage supports B+ tree, R-tree and inverted keyword secondary indexes. External datasets can be queried without loading everything into AsterixDB, using adapters for HDFS and local filesystems. Continuous feeds can ingest sources such as Twitter, RSS and sockets. The HTTP query API accepts SQL++ and can return immediate, deferred or asynchronous results. Installation options include NCService, Ansible and Amazon Web Services. The Hyracks parallel runtime has been scale-tested on up to 1000+ cores and 500+ disks. Documentation describes basic transactional concurrency and recovery, and identifies web data warehousing and social data analysis as suitable uses.