One of the main advantages of DynamoDB is the development speed. By moving away from the relational paradigm and basing data models on code, allows for a code first approach. This reduces the time needed for analysis and makes it possible to start development a lot faster. Add in the automatic table generation, configurable time-to-live, and serverless nature of DynamoDB and you can save a lot of time normally used to set up the infrastructure, design the data model, and configure the database.

Another major selling point is the single-digit millisecond performance that you can consistently achieve with DynamoDB. This is attained by structuring all the data where it is needed, instead of dividing this data into different tables and then merging it together. Moreover, this has the side effect of reducing the cognitive complexity of your system.

When looking at the cost of DynamoDB, there is a significant difference compared to a standard relational database. The costs are determined by three factors: storage, transfer, and capacity. Each account has 25 GB of free storage and 100 GB of free transfer. The capacity has two modes that allow for the most gain: You can choose to set up a provisioned read and write capacity that allows for consistent performance and price, or you can use the capacity on demand. The main advantage of on-demand capacity is that it reduces costs during low-traffic periods while ensuring maximum speed during peak hours.