This inefficiency occurs when a table remains in the default Standard storage class despite having minimal or infrequent access. In these cases, switching to Standard-IA can significantly reduce monthly storage costs, especially for archival tables, compliance data, or legacy systems that are still retained but rarely queried.
DynamoDB tables are billed based on the storage class assigned to the entire table.
Tables incur ongoing storage charges regardless of usage, so selecting the wrong storage class can lead to unnecessary cost.
If the table is rarely read and doesn't serve an active production workload, consider switching it to Standard-IA. Start by confirming that read latency and per-request charges won’t impact performance or budget. Then update the table’s storage class using the AWS Console, CLI, or SDK. This change can be made without downtime or data migration. To prevent recurrence, review provisioning defaults in infrastructure-as-code templates or automation scripts to ensure archival or infrequently accessed tables default to Standard-IA when appropriate. Periodically audit storage class assignments across environments to identify tables that may no longer require high-frequency access.