Oracle AI Data Platform
Oracle AI Data Platform inventory for OCI lakehouses and MLOps
Oracle AI Data Platform (AIDP) runs lakehouses, Spark pipelines, notebooks, and MLOps on OCI - but most CMDB tools ignore it. OCI Vision scans AIDP alongside compute, network, IAM, and databases so MSPs and platform teams govern the full analytics estate from one workspace.
The AIDP visibility gap
Lakehouse platforms, workflow jobs, and MLOps models live in a separate control plane from IaaS resources.
- No unified list of platforms, workspaces, catalogs, and schemas across customer tenancies
- Delta Share recipients and credentials scattered across consoles and spreadsheets
- Failed workflow runs and notebook sessions invisible to security and finance reviews
- Audit teams cannot correlate analytics assets with core Object Storage and IAM inventory
OCI Vision AIDP Workbench
OCI Vision treats AIDP as a first-class CMDB domain with 25+ inventory categories and multi-tenancy filtering.
- Platforms, workspaces, catalogs, schemas, tables, and views
- Spark clusters, workflow jobs, notebook sessions, and Git repositories
- MLOps registered models, versions, Delta Shares, and credentials
- PDF exports from Reporting Studio for governance and customer QBRs
AIDP inventory comparison
How teams typically track Oracle AI Data Platform resources versus purpose-built AIDP inventory in OCI Vision.
| Capability | Workbench console | Spreadsheets | OCI Vision |
|---|---|---|---|
| Cross-customer AIDP inventory | Switch tenancies manually | Separate tabs per customer | Isolated org workspaces |
| MLOps model registry view | Per-platform only | Manual exports | Models + versions catalogued |
| Workflow job visibility | One workspace at a time | Stale snapshots | Jobs and runs with lifecycle state |
| Delta Share governance | Deep console navigation | Not tracked | Shares and recipients inventoried |
| Combined IaaS + AIDP CMDB | Separate tools | Multiple spreadsheets | One portal, one refresh cadence |
Who uses OCI Vision for AIDP
MSPs
Govern customer lakehouses with tenancy isolation, Delta Share oversight, and audit-ready exports.
Platform engineering
Track platforms, Spark clusters, and workflows across dev, staging, and production compartments.
ML ops and data science
Inventory registered models, notebook sessions, and Git repos alongside infrastructure CMDB.
Security and compliance
Review credentials, shares, and lakehouse buckets with Cloud Guard and IAM in the same workspace.