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Amazon Aurora vs DynamoDB Local

Amazon Aurora

aws.amazon.com

DynamoDB Local

docs.aws.amazon.com

Side by side

FigureAmazon AuroraDynamoDB Local
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published41
Spec score · Service Virtualization Software8.2 (#7)8.0 (#11)
IntegrationsAurora MySQL can invoke AWS Lambda functions and load data from or save data to Amazon S3.AWS documents using DynamoDB Local with the AWS CLI, AWS SDKs, Docker Compose, Maven, and AWS CloudShell.

Plans

Amazon Aurora

  • Free planFree
  • Paid planPrice not published
  • Aurora PostgreSQL Serverless Free planFree
  • Aurora PostgreSQL and Aurora MySQL On-DemandPrice not published

Amazon Aurora pricing →

DynamoDB Local

  • DynamoDB LocalFree

DynamoDB Local pricing →

In their own words

Amazon Aurora

Amazon Aurora has no write-up on Specifiction yet; its figures are above.

Visit aws.amazon.com

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.

Visit docs.aws.amazon.com