1 year ago

Rising costs and uncertain economic times are causing many organizations to look for ways to do more with less. Fortunately, opportunities exist to increase efficiency and save money by moving to a document database and practicing appropriate data modeling techniques. Document databases save companies money in two ways: Object-centric, cross-language SDKs and schema flexibility mean developers can create and iterate production code faster, lowering development costs.

Imagine we want to store a customer object where customers have an array of some repeating attribute, in this case, addresses.

In addition to the basic instance costs, the hourly running costs of the relational database varied between 200% and 500% of the Atlas costs for these tests due to additional charges for disk utilization.