Azure Cosmos DB Emulator vs DynamoDB Local
Azure Cosmos DB Emulator
learn.microsoft.comDynamoDB Local
docs.aws.amazon.comSide by side
| Figure | Azure Cosmos DB Emulator | DynamoDB Local |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Service Virtualization Software | 8.1 (#10) | 8.0 (#11) |
| Production use | Microsoft does not recommend using the emulator for production workloads. | AWS describes the downloadable version as intended for development and testing, while the managed DynamoDB web service is intended for production use. |
| Purpose | Provides a local environment that emulates Azure Cosmos DB for development and offline testing. | DynamoDB Local lets developers develop and test applications without accessing the DynamoDB web service. |
Plans
In their own words
Azure Cosmos DB Emulator
Azure Cosmos DB Emulator has no write-up on Specifiction yet; its figures are above.
DynamoDB Local
DynamoDB Local lets developers develop and test applications without accessing the DynamoDB web service. It can run without an internet connection, and AWS says local use can help avoid throughput, storage and data-transfer fees. Developers can obtain it as a download, Apache Maven dependency or Docker image, and AWS documents use with the AWS CLI, AWS SDKs, Docker Compose, Maven and AWS CloudShell. Data can persist in a local database file or remain in memory, where it is lost when DynamoDB Local stops. The downloadable version requires configured credentials, though AWS says they need not be valid AWS credentials for local access. AWS identifies v3.x as current and recommends it for local testing and development; v2.x is legacy and v1.x is deprecated. Running v2.6.0 or later requires JRE 17.x or newer. Telemetry can be disabled with a command-line option or environment settings. DynamoDB Local does not support point-in-time recovery, tagging or vector indexes; it also lacks parallel scans, ignores provisioned throughput settings and treats table names as case insensitive. AWS describes it as a development and testing tool, not a production service.