> For the complete documentation index, see [llms.txt](https://gyansetu-aws.gitbook.io/aws-cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gyansetu-aws.gitbook.io/aws-cloud/amazon-aurora.md). # Amazon Aurora Amazon Aurora is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases * Amazon Aurora provides 5 times better performance than MySQL, at a price point one tenth of a commercial DB while delivering similar performance and availability. * Amazon Aurora default size is 10GB max it can scale upto 64TB. * Compute resource can scale upto 32 vCPUs and 244 GB of memory #### DynamoDB * Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. * We can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. * Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance. * Its flexible data model and reliable performance make it a great fit for the mobile, web, gaming and many other applications. * It always stores on SSD storage there is no magnetic storage. * Spreads data to multiple A --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://gyansetu-aws.gitbook.io/aws-cloud/amazon-aurora.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.