> For the complete documentation index, see [llms.txt](https://notes.radifine.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://notes.radifine.com/aws/aws-storage-services/aws-databases-services.md). # AWS Databases Services Amazon offers many DB Services. Some of the common and noteworthy ones are as follows: * Amazon RDS (PaaS) - Example: Amazon Aurora Platform * Amazon DynamoDB (SaaS - DB as a service) * Amazon Redshift (SaaS - DB as a service) * Amazon Elasticache (SaaS - DB as a service) * AWS Database Migration Service (DMS) - It is possible to move existing on-prem databases into AWS Cloud's RDS. This supports one time and continual migration of data. The pay for this migration is not much as it is only for the compute leveraged in migration process. Additional Database Services can be as follows: * **Document DB**: It is MongoDB compatible database, which is ideal to experiment in AWS for testing with MongoDB workloads. It is also a PaaS offering similar to RDS. * **Neptune**: It is managed graph database service, which is ideal for mapping relationships between data points. Very useful for social media companies * **MemoryDB:** It is redis compatible service ideal for a fast in-memory primary database * **Timestream:** It is serverless time series database service ideal for storing and retrieving time series data points. Very useful for IoT sensors --- # 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://notes.radifine.com/aws/aws-storage-services/aws-databases-services.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.