Data & Storage · Integration
Oracle Analytics Cloud
Add Oracle Analytics Cloud to your product for your customers, and give your AI agents governed access to it.
Embed an Oracle Analytics Cloud integration so the numbers your customers already trust in their own BI platform can appear inside your product instead of being screenshotted into a deck. Oracle Analytics Cloud holds datasets and data models, workbooks and visualisations, and the catalog of analyses and reports a business runs on, and each of those is shaped to the customer's own model rather than a standard schema. Each customer authorises their own Oracle Analytics Cloud instance, so reads run under their credentials and their existing content permissions apply. fastn owns the auth, token refresh, pagination, rate limits and API upkeep, and the same governed connection is what your AI agents use.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let each customer connect their own Oracle Analytics Cloud instance so their datasets and reports are reachable inside your product with no per-customer code.
Read the output of a report or workbook per tenant so your product shows the same figure the customer's analysts publish.
List catalog content so users can pick from the analyses their own team has already built rather than starting again.
Support customers whose data models and subject areas differ as per-tenant mapping rather than code.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent reads a report's current output before it answers a question about performance, using only that tenant's instance.
An agent explains which dataset and model a figure came from so a reader can check it.
An agent compares this period against the last from the customer's own analytics content, with each read audited.
Example prompt
Pull the latest revenue workbook from Oracle Analytics Cloud and tell me which region moved most.
Set up Oracle Analytics Cloud in 4 steps
- 01Enable the Oracle Analytics Cloud connector in your fastn dashboard.
- 02Have each customer authorise their own Oracle Analytics Cloud instance so reads run under their credentials.
- 03Map the datasets, catalog paths and report fields your product uses, per customer.
- 04Call it from your product and expose the same connection to your agents through the MCP gateway.
Why teams use the Oracle Analytics Cloud integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an Oracle Analytics Cloud integration without building it. Your customers connect their own Oracle Analytics Cloud account inside your product and work their records, datasets and fields there, with no per-customer code on your side.
- Handle the part that actually costs time: schemas differ per customer and change without notice, and volumes can be large. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so an Oracle Analytics Cloud update is not your on-call problem.
- One integration serves your product and your agents. The same governed Oracle Analytics Cloud connection powers in-product features and gives AI agents scoped, audited access, so you read and write your customers' data where it already lives without wiring it twice.
Used by these teams
Compare with
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Hugging FaceOracle Analytics Cloud integration FAQ
How do I add an Oracle Analytics Cloud integration to my product?
Enable the Oracle Analytics Cloud connector in your fastn dashboard, then let each customer authenticate their own Oracle Analytics Cloud account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Oracle Analytics Cloud client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Oracle Analytics Cloud account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Oracle Analytics Cloud account and only ever sees their own records, datasets and fields. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Oracle Analytics Cloud integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reads a report's current output before it answers a question about performance, using only that tenant's instance.
Who maintains the Oracle Analytics Cloud integration?
fastn does. When Oracle Analytics Cloud changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Does the Oracle Analytics Cloud integration adapt when a customer's schema changes?
Schema and field mapping is configuration per customer, so a change on their side is a mapping update rather than a code change and a release on yours.
How are large Oracle Analytics Cloud reads handled?
Pagination and throttling are handled for you, and initial backfills are rate-limited so a large import does not exhaust a customer's API allowance.
What can I build with the Oracle Analytics Cloud integration?
A common starting point: let each customer connect their own Oracle Analytics Cloud instance so their datasets and reports are reachable inside your product with no per-customer code. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Oracle Analytics Cloud integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Oracle Analytics Cloud does not change your per-connector cost. You can start free with 3 connected accounts.
Add Oracle Analytics Cloud to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.