How does Autonomous Database optimize storage usage?

The optimization of storage usage in Autonomous Database is primarily achieved through automatic data compression and tiered storage options. Automatic data compression helps to reduce the amount of storage space required by compressing data stored in the database, which not only saves space but can also improve performance by reducing the amount of data that needs to be read from disk.

In addition, tiered storage options allow Autonomous Database to manage data by placing frequently accessed data on faster storage while less frequently accessed data can be moved to lower-cost storage. This tiered approach ensures that resources are used efficiently, optimizing overall storage costs while maintaining performance standards.

The combination of these features enables the Autonomous Database to dynamically manage and optimize storage usage without the need for manual intervention or hardware upgrades, making it a highly efficient solution for managing data effectively.