Oracle Fusion Rate Limits

Oracle Fusion Cloud Applications REST APIs do not publish per-second or per-minute rate-limit numbers in the public REST API guides. Throughput is governed by the underlying Fusion Applications service pod capacity, by per-resource page-size limits, and by Fusion Common's authentication and session controls. Customers experiencing throttling are directed to Oracle Support to raise capacity via a service request, often coupled with a recommendation to switch to bulk-data patterns (FBDI, BI Publisher) for high-volume integrations.

Oracle Fusion Rate Limits is the machine-readable rate-limit profile for Oracle Fusion Cloud Applications on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 3 rate-limit definitions, measuring varies, rows_per_request, and payload_size_bytes.

The profile also includes 4 backoff/retry policies defined and response codes documented for unauthorized, forbidden, notFound, serverError, and serviceUnavailable.

Tagged areas include Cloud, ERP, HCM, Oracle Cloud, and Rate Limiting.

3 Limits
CloudERPHCMOracle CloudRate LimitingSaaS

Limits

REST API Throughput tenancy
varies
bound by Fusion Applications service pod capacity
No public per-tenancy rate is published; throughput is governed by the underlying Fusion Applications pod and may be raised via an Oracle Support service request.
Bulk REST Page Size request
rows_per_request
500
Default Fusion REST API page size is 25 rows, configurable up to 500 via the limit query parameter for List operations.
REST Document Upload request
payload_size_bytes
see Fusion REST API guide
Document attachment endpoints enforce per-file size limits documented per resource.

Policies

Backoff Strategy
Clients should implement exponential backoff with jitter on 5xx responses; honor any Retry-After header when present.
Pagination
Use the limit and offset query parameters and follow self/next links rather than issuing parallel large List operations.
Capacity Adjustment
Sustained high-volume integrations should be coordinated through Oracle Support; tenancies on dedicated pods can request capacity increases.
Bulk Data Patterns
For high-volume integrations prefer the BI Publisher bulk extract or File-Based Data Import (FBDI) over hitting transactional REST endpoints.

Sources