Data & Storage · Integration
Oracle Exadata
Add Oracle Exadata to your product for your customers, and give your AI agents governed access to it.
Embed an Oracle Exadata integration so your product can work with the Oracle databases your customers run on Exadata, whether that is an engineered system in their own data centre or Exadata Database Service in Oracle Cloud. What your product actually touches is the database: tables and views, their schemas, and the queries and writes you define. Each customer supplies their own connection details and credentials, so every statement runs under their access, and schema and field mapping is configuration per customer because no two Oracle estates are shaped the same way. fastn owns the credential storage, connection handling, pagination and throttling, so a large first read does not disturb the workloads a customer runs on the same system. 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 point your product at their own Oracle database on Exadata so their data is reachable without an export.
Read schema detail at runtime so your product adapts to how a customer's tables are actually built.
Run parameterised queries and writes per tenant, with credentials held per customer rather than in your code.
Throttle a first backfill so a bulk read does not compete with the production workloads on the same system.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent inspects the schema before deciding which query to run against a customer's database.
An agent runs an approved read-only query to ground an answer in that tenant's own records, with each call logged.
An agent performs a defined write within scoped permissions, with the change attributed to the tenant that authorised it.
Example prompt
Query the orders table for anything created in the last 24 hours with a null status and show me the rows.
Set up Oracle Exadata in 4 steps
- 01Enable the Oracle Exadata connector in your fastn dashboard.
- 02Have each customer supply their own database connection details and credentials.
- 03Map the tables, schemas and queries your product uses, per customer, and set read limits.
- 04Call them from your product and expose the same connection to your agents through the MCP gateway.
Why teams use the Oracle Exadata integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an Oracle Exadata integration without building it. Your customers connect their own Oracle Exadata 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 Exadata update is not your on-call problem.
- One integration serves your product and your agents. The same governed Oracle Exadata 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
IBM Db2
Snowflake
DatabricksOften used alongside
Tools the same teams tend to run next to Oracle Exadata, across other categories.
Anthropic Claude
OpenAI
Azure OpenAI
Hugging FaceOracle Exadata integration FAQ
How do I add an Oracle Exadata integration to my product?
Enable the Oracle Exadata connector in your fastn dashboard, then let each customer authenticate their own Oracle Exadata account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Oracle Exadata 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 Exadata account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Oracle Exadata 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 Exadata 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 inspects the schema before deciding which query to run against a customer's database.
Who maintains the Oracle Exadata integration?
fastn does. When Oracle Exadata 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 Exadata 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 Exadata 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 Exadata integration?
A common starting point: let each customer point your product at their own Oracle database on Exadata so their data is reachable without an export. 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 Exadata integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Oracle Exadata does not change your per-connector cost. You can start free with 3 connected accounts.
Add Oracle Exadata to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.