July 2021 This whitepaper helps architects, data scientists, and developers understand the big data analytics options available in the AWS cloud by providing an overview of services, with the following - Ideal usage patterns - Cost model - Performance - Durability and availability - Scalability and elasticity - Interfaces - Anti-patterns This paper concludes with scenarios that showcase the analytics options in use, as well as additional resources for getting started with big data analytics on AWS. This documentation is offered for free here as a Kindle book, or you can read it in PDF format at
Very well written white paper on big data Options at AWS. It would serve as a great guide in determining the service ro use for a big data project on AWS.
The paper needs however to be updated with newer services such as MSK and Neptune and a revision to cover updates to existing services is also necessary e.g RA3 node types in Redshift
That said, the paper answers most questions one would have when exploring big data Options on AWS and covers all aspects of a well architected framework.