When building a robust data architecture (particularly for multi-tenant applications) there are a few considerations that go into your decision around which data store(s) to pick and how to configure those data stores.
We put together a loose framework to guide this decision called "S.C.A.L.E".
S.C.A.L.E stands for Scalability, Consistency, Availability, Latency and Evolution and exists as a rubric to decide which data technologies to adopt for your applications requirements,
Extracting individual tenants for backup and restore purposes is a common ask of SaaS applications. Dave shows us how!
More Data for SaaS: github.com/aws-samples/data-for-saas-patterns