Letting use case drive database choice dbInsight research paper for AWS
This research paper by takes a tour of the 11 AWS database services while exploring use cases and examples where both relational and non-relational databases can be a perfect fit for applications.
Make your database choice based on business use case
For far too long the database choices for organizations were limited to a handful of on-premises, relational commercial databases. Now that cloud-native database services are challenging the dominance of legacy on-premises databases, customers have more choices. These choices allow them to let the use case, or application, drive the database choice. This AWS sponsored research paper by dbInsight takes a tour of the 11 AWS database services while exploring use cases and examples where both relational and non-relational databases can be a perfect fit for applications.
Learning Objectives:
- Understand why use cases should drive the choice of database
- Learn about the use cases that best fit non-relational database like graph, document, and in-memory
- Discover the suite of AWS database services that span open-source, relational, and non-relational