Autonomous AI Database Billing Summary

You are billed for Autonomous AI Database usage according to the values of two parameters: compute and storage. You select values for these parameters when you provision or scale an Autonomous AI Database instance.

When you provision an instance you select a workload type based on the workloads you want to run on your database. The pricing for compute and storage resources is based on the workload type you select.

The workload types are:

  • Lakehouse: optimized for analytic workloads, including data marts, data lakes, and data lakehouses.
  • Transaction Processing: optimized to run transactional, analytical, and batch workloads concurrently.
  • JSON: a cloud document database service that makes it simple to develop JSON-centric applications.
  • APEX: a fully managed, low-code application development platform for building and deploying modern cloud, mobile, and data-driven applications.

Depending on the workload type, you select an Autonomous AI Database billing model:

  • ECPU Billing Model: (Recommended billing model) Based on the number of cores allocated from the pool of compute servers and storage servers.

  • OCPU Billing Model: (Legacy billing model) Provides compute capacity equivalent of a physical core of a processor with hyper-threading enabled.

See the Autonomous AI Database Cloud Price List for up-to-date pricing for each workload type.

Use the Cloud Cost Estimator to estimate the monthly cost for an Autonomous AI Database.

For complete cost details, refer to the Oracle PaaS and IaaS Universal Credits Service Descriptions document available on the Oracle Cloud Services contracts page.

Compute and Storage Billing Summary