Azurite vs DynamoDB Local

Azurite is a free, open-source server emulator for trying Azure Storage APIs on a local machine. Azurite V3 supports Blob and Queue storage, while Table storage is marked preview. Blob functionality includes containers, block and page blobs, service properties, and CRC-64/NVME transactional checksum checks for specified writes. Queue operations cover creating queues and putting, getting, peeking, updating, deleting, and clearing messages. Documented authentication includes Shared Key, account and service SAS, OAuth, and supported public access. It works with Azure Storage SDKs, Azure CLI, and Storage Explorer. Installation options are npm, Docker, a Visual Studio Code extension, or cloning and building the source. The npm route supports Windows, Linux, and macOS with supported Node.js LTS versions. Local hosts, ports, workspace, and optional in-memory persistence are configurable. Telemetry is enabled by default, with an execution-level disable option. It uses the MIT License.

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.