Content Comparison

High volume of workloads (need latency in milliseconds while performing millions of transactions per second)

Workload volume fits within thousands of transactions per second

Data is dynamic and frequently changes

Data is highly structured and requires referential integrity

Relationships can be de-normalized data models

Relationships are expressed through table joins on normalized data models

Data is expressed without table joins

Data with complex queries and reports

Data is replicated across geographies and requires finer control over performance, availability and consistency.

Data is centralized or can be replicated regions asynchronously

For commodity hardware (app deployed in public clouds)

High-End hardware (app deployed to large and high-end hardware)