Since you are paying as you go for only the resources you consume, you don’t need to do your own capacity planning or worry about database load.

Cost-efficient – Amazon SimpleDB charges inexpensive prices to store and query your data logs.The set it and forget it nature of the service means you aren’t spending time on database management in order to store and maintain data logs. Zero Administration – You store your data items with simple web services requests and Amazon Web Services takes care of the rest.All of the data can be stored via web services requests with one solution and then accessed by any device. This means that unlike a centralized on-premise solution, you’re not creating a single point of failure with Amazon SimpleDB, and your data will be there when you need it. What’s more, Amazon SimpleDB automatically and geo-redundantly replicates your data to ensure high availability. Central, with High Availability – If your data logs were previously being trapped locally in multiple devices/objects, applications, or process silos, you’ll enjoy the benefit of being able to access your data centrally in one place in the cloud.Multiple attributes of Amazon SimpleDB make it an attractive data store for data logs: Logging and tracking geolocation information about objects or process status for activities in a workflow.

Capturing and monitoring environment conditions (temperature, pressure levels, humidity, etc.) at various locations and programming alerts for particular conditions.

Auditing access entries or configuration changes for applications or networked devices.

Logging operational metrics or the results of ongoing performance tests for later analysis.

Storing server logs centrally to reduce the space they consume on each running server.

Amazon SimpleDB lets you cost-effectively “set and forget” these data logs and use them for diverse purposes, such as: Since Amazon SimpleDB allows you to completely offload the work required to run a production database, many developers find it an ideal, low-touch data store for logging information about conditions or events, status updates, recurring activities, workflow processes, or device and application states.

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