Amazon DynamoDB: A Complete Guide To NoSQL Databases

Amazon DynamoDB is a serverless database that scales to zero, has no cold starts, no version upgrades, no maintenance periods, no patching, and no downtime maintenance. You just pay for what you use

Denormalization of DynamoDB data modeling is required. Rethinking their data model is a difficult but manageable step for engineers accustomed to working with both SQL and NoSQL databases

As previously mentioned, users often don’t call the Amazon DynamoDB API directly. Rather, their application will incorporate an Amazon Web Services, which will manage the back-end interactions with the server

DynamoDB is designed for high-performance applications and offers APIs that promote effective database utilization in order to achieve this scale and performance

Without the need for updates or downtime, Amazon DynamoDB continuously enhances its functionality, security, performance, availability, and dependability

To cut down on database round trips and the amount of processing power required to respond to queries, advise you to denormalize your data model

Reduce latency with multi-Region replication between AWS Regions and scale throughput and concurrency for media and entertainment workloads including interactive content and real-time video streaming