No Databricks APIs are currently available for managing notebooks, jobs, or clusters. Specifically requested capabilities:
- Create/manage Databricks Notebooks (Workspace REST API)
- Create/manage Databricks Jobs/Workflows (Jobs API) for scheduling and orchestration
- Create/manage Delta Live Tables (DLT) pipelines
- Manage clusters/compute (Cluster API)
Currently, altimate-code can only interact with Databricks via SQL warehouse connections (sql_execute, schema_inspect, dbt models, cost/finops analysis, lineage). There's no way to programmatically create or manage notebooks, jobs, or clusters directly — users must generate the content as text and manually apply it via the Databricks UI or CLI. Native API integration for these would let altimate-code build and orchestrate full Databricks pipelines, not just SQL-layer transformations.
Metadata
| Field |
Value |
| CLI Version |
0.9.7 |
| Platform |
darwin |
| Architecture |
arm64 |
| OS Release |
25.5.0 |
| Category |
feature |
No Databricks APIs are currently available for managing notebooks, jobs, or clusters. Specifically requested capabilities:
Currently, altimate-code can only interact with Databricks via SQL warehouse connections (sql_execute, schema_inspect, dbt models, cost/finops analysis, lineage). There's no way to programmatically create or manage notebooks, jobs, or clusters directly — users must generate the content as text and manually apply it via the Databricks UI or CLI. Native API integration for these would let altimate-code build and orchestrate full Databricks pipelines, not just SQL-layer transformations.
Metadata