DynamoDB Cost

Amazon DynamoDB, being a NoSQL managed database service by Amazon Web Services (AWS), has a pay-as-you-go pricing model with different factors affecting the overall cost:

1. Provisioned Throughput: DynamoDB allows you to provision read and write capacity for your tables. You pay for the provisioned throughput, which is determined by the number of read and write capacity units you provision. If you exceed the provisioned throughput, you may experience throttling or increased costs.

2. On-Demand Capacity Mode: Alternatively, you can use on-demand capacity mode, where you don’t need to provision throughput. Instead, you pay for the actual read and write requests you make, and DynamoDB automatically scales to accommodate your workload. On-demand capacity mode can be more flexible but may have higher costs per request.

3. Data Storage: You are charged based on the amount of data you store in DynamoDB, including the size of your items and any indexes you create.

4. Indexed Data: The number and size of secondary indexes can also impact the cost, as they require additional storage and may affect read/write throughput.

5. Data Transfer: DynamoDB charges for data transfer in and out of the service, including API requests, backups, and global tables data replication.

6. Backups: Backups are typically charged based on the amount of data stored for each backup.

7. Global Tables: If you use global tables to replicate your data across multiple AWS regions, there may be additional costs associated with data transfer and replication.

8. Data Transfer Acceleration: If you enable data transfer acceleration for faster data uploads, additional costs may apply.

AWS periodically updates its pricing, and the cost structure can vary based on your specific usage pattern and the region you use. For the most up-to-date information on DynamoDB pricing, I recommend visiting the official AWS website and reviewing the DynamoDB pricing details.