Altimate AI

Altimate AI DATABRICKS API

The DATABRICKS API from Altimate AI — 139 operation(s) for databricks.

GitHub OpenAPI
Business capability
IT Financial Management BC-600.80

Operations 142

GET /api/v1/databricks/datapilot/initial-questions Get AI Studio initial questions for Databricks resources #
GET /api/v1/databricks/cost/workspaces Get available Databricks workspaces #
GET /api/v1/databricks/cost/overview Get Databricks cost overview #
GET /api/v1/databricks/cost/breakdown/sku Get cost breakdown by SKU #
GET /api/v1/databricks/cost/breakdown/workspace Get cost breakdown by workspace #
GET /api/v1/databricks/cost/breakdown/product Get cost breakdown by product #
GET /api/v1/databricks/cost/comparison Get cost comparison between periods #
GET /api/v1/databricks/cost/total Get total cost with category breakdown #
GET /api/v1/databricks/cost/total/estimate Get total estimated cost for the year #
GET /api/v1/databricks/cost/compute-efficiency Get compute efficiency breakdown #
GET /api/v1/databricks/cost/workspace-efficiency Get efficiency metrics per workspace #
GET /api/v1/databricks/cost/cloud/projection Get cloud infrastructure cost projection (actual + month-end estimate) #
GET /api/v1/databricks/clusters/filters Get filter options for clusters #
GET /api/v1/databricks/clusters/filters/cluster_names Get paginated distinct cluster names for filtering #
GET /api/v1/databricks/clusters/filters/workspaces Get paginated distinct cluster workspaces for filtering #
GET /api/v1/databricks/clusters Get all Databricks clusters #
GET /api/v1/databricks/clusters/oversized Get oversized clusters #
GET /api/v1/databricks/clusters/{cluster_id} Get cluster details #
GET /api/v1/databricks/clusters/{cluster_id}/utilization Get cluster utilization metrics #
GET /api/v1/databricks/clusters/{cluster_id}/state-history Get cluster state history #
GET /api/v1/databricks/clusters/{cluster_id}/cost Get cluster cost data #
GET /api/v1/databricks/clusters/{cluster_id}/auto-tune/status Page-level Auto Tune status for an all-purpose cluster #
GET /api/v1/databricks/clusters/{cluster_id}/auto-tune/recommendations Active Auto Tune recommendations for an all-purpose cluster #
PATCH /api/v1/databricks/clusters/{cluster_id}/auto-tune/toggle Toggle Auto Tune for an all-purpose cluster (master or sub-toggle) #
GET /api/v1/databricks/clusters/{cluster_id}/auto-tune/history Paginated Auto Tune audit history for an all-purpose cluster #
GET /api/v1/databricks/clusters/{cluster_id}/auto-tune/savings-trends Per-day Possible Savings for an all-purpose cluster #
GET /api/v1/databricks/warehouses/filters Get filter options for warehouses #
GET /api/v1/databricks/warehouses Get all Databricks warehouses #
GET /api/v1/databricks/warehouses/total-savings Get total auto-tune savings across SQL warehouses #
GET /api/v1/databricks/warehouses/serverless-candidates Get serverless migration candidates #
GET /api/v1/databricks/warehouses/{warehouse_id} Get warehouse details #
GET /api/v1/databricks/warehouses/{warehouse_id}/events Get warehouse events #
GET /api/v1/databricks/warehouses/{warehouse_id}/state-history Get warehouse state history #
GET /api/v1/databricks/warehouses/{warehouse_id}/cost Get warehouse cost data #
GET /api/v1/databricks/warehouses/{warehouse_id}/auto-tune/savings-trends Get per-day auto-tune savings (realized + potential) for a SQL warehouse #
GET /api/v1/databricks/warehouses/{warehouse_id}/auto-tune/savings-summary Get realised savings range and estimated annual savings for a SQL warehouse #
GET /api/v1/databricks/warehouses/{warehouse_id}/running-stats-trends Get warehouse running stats trends #
GET /api/v1/databricks/warehouses/{warehouse_id}/utilization-efficiency Get warehouse utilization efficiency #
GET /api/v1/databricks/warehouses/{warehouse_id}/query-metrics-timeline Get time-bucketed query metrics timeline for a warehouse #
GET /api/v1/databricks/jobs/filters Get filter options for jobs #
GET /api/v1/databricks/jobs/filters/job_names Get paginated distinct job names for filtering #
GET /api/v1/databricks/jobs/filters/workspaces Get paginated distinct job workspaces for filtering #
GET /api/v1/databricks/jobs/filters/creators Get paginated distinct job creators for filtering #
GET /api/v1/databricks/jobs Get all Databricks jobs #
GET /api/v1/databricks/jobs/summary Get aggregate cost summary for the Jobs list #
GET /api/v1/databricks/jobs/failing Get jobs with high failure rates #
GET /api/v1/databricks/jobs/recent-failures Get recent job failures #
GET /api/v1/databricks/jobs/{job_id} Get job details #
GET /api/v1/databricks/jobs/{job_id}/runs Get job runs #
GET /api/v1/databricks/jobs/{job_id}/stats Get job run statistics #
GET /api/v1/databricks/jobs/{job_id}/trends Get job run trends over time #
GET /api/v1/databricks/jobs/{job_id}/auto-tune/savings-trends Get per-day auto-tune savings (realized + potential) for a job #
GET /api/v1/databricks/jobs/{job_id}/task-runs Get the job-level task summary (one row per task on the DAG) #
GET /api/v1/databricks/jobs/{job_id}/task-runs/detail Get run/task-scoped task runs (requires run_id or task_key) #
GET /api/v1/databricks/jobs/{job_id}/tasks/{task_key}/runs-graph Get chart-ready time series of runs for a single task #
GET /api/v1/databricks/jobs/{job_id}/tasks/{task_key}/stats Get aggregate run stats for a single task in a date window #
GET /api/v1/databricks/jobs/{job_id}/runs/{run_id}/spark-ui Get the Databricks Spark UI URL for a job run #
GET /api/v1/databricks/jobs/{job_id}/tasks-inventory Get the static task list for a Databricks job #
GET /api/v1/databricks/jobs/{job_id}/spark-analysis Get Spark analysis for job's latest run #
GET /api/v1/databricks/jobs/{job_id}/spark-analysis/stage-metrics Get paginated stage metrics for a job's Spark run #
GET /api/v1/databricks/jobs/{job_id}/spark-analysis/tasks Get paginated individual Spark tasks for a job's Spark run #
GET /api/v1/databricks/jobs/{job_id}/spark-analysis/opportunities Get optimization opportunities for a job's Spark run with code linkage #
GET /api/v1/databricks/jobs/{job_id}/auto-recommendations Get Databricks auto right-sizing recommendations for a job #
PATCH /api/v1/databricks/jobs/{job_id}/auto-tune/toggle Toggle auto-tune on/off for a job's recommendation #
GET /api/v1/databricks/jobs/{job_id}/auto-tune/status Page-level Auto Tune status for a job #
GET /api/v1/databricks/jobs/{job_id}/auto-tune/history Paginated Auto Tune audit history for a job #
GET /api/v1/databricks/queries/filters Get filter options for queries #
GET /api/v1/databricks/queries/filters/users Search query-history user names by prefix #
GET /api/v1/databricks/queries/filters/computes Search the unified compute list by prefix #
GET /api/v1/databricks/queries/filters/workspaces Search query-history workspaces by name prefix #
GET /api/v1/databricks/queries/filters/statement-ids Search statement IDs for the Query ID filter dropdown #
GET /api/v1/databricks/queries/summary Get query summary metrics #
GET /api/v1/databricks/queries Get queries #
GET /api/v1/databricks/queries/slow Get slow queries #
GET /api/v1/databricks/queries/spills Get queries with memory spills #
GET /api/v1/databricks/queries/full-scans Get queries with large data reads #
GET /api/v1/databricks/queries/failed Get failed queries #
GET /api/v1/databricks/queries/breakdown/statement-type Get query breakdown by statement type #
GET /api/v1/databricks/queries/breakdown/user Get query breakdown by user #
GET /api/v1/databricks/queries/unified Get unified queries with insights #
GET /api/v1/databricks/queries/{statement_id} Get query detail by statement ID #
GET /api/v1/databricks/queries/{statement_id}/sql-lineage Get SQL lineage visualization for a query #
GET /api/v1/databricks/insights/overview Get Databricks environment overview #
GET /api/v1/databricks/insights/workspace-activity Get activity by workspace #
GET /api/v1/databricks/opportunities/summary Get opportunities summary #
GET /api/v1/databricks/opportunities/oversized-clusters Get oversized cluster opportunities #
GET /api/v1/databricks/opportunities/serverless-candidates Get serverless migration candidates #
GET /api/v1/databricks/opportunities/high-failure-jobs Get high failure rate jobs #
GET /api/v1/databricks/opportunities/expensive-queries Get expensive queries #
GET /api/v1/databricks/opportunities/idle-clusters Get idle clusters #
GET /api/v1/databricks/opportunities/by-resource Get opportunities for a specific resource #
GET /api/v1/databricks/opportunities/redirection Get resource redirection URL for Databricks #
GET /api/v1/databricks/opportunities/resource Get opportunities for a specific resource #
GET /api/v1/databricks/savings/autonomous Get autonomous savings #
GET /api/v1/databricks/savings/assisted Get assisted savings #
GET /api/v1/databricks/savings/assisted/tracked Get tracked assisted savings from PostgreSQL #
GET /api/v1/databricks/savings/overall Get overall savings summary #
GET /api/v1/databricks/savings/overall/estimate Get overall savings estimate with projections #
GET /api/v1/databricks/users/filters Get filter options for users #
GET /api/v1/databricks/users Get all users with query statistics #
GET /api/v1/databricks/users/top/queries Get top users by query count #
GET /api/v1/databricks/users/top/data-read Get top users by data read #
GET /api/v1/databricks/users/service-principal-config Get service-principal classification config #
PUT /api/v1/databricks/users/service-principal-config Upsert service-principal classification config #
GET /api/v1/databricks/users/{user_name} Get user details #
GET /api/v1/databricks/users/{user_name}/trends Get user query trends #
GET /api/v1/databricks/users/{user_name}/statement-breakdown Get user statement breakdown #
GET /api/v1/databricks/ai-ml-services/summary Get AI/ML services summary with trend data #
GET /api/v1/databricks/ai-ml-services/endpoints Get unified list of AI/ML endpoints (Model Serving + Vector Search + AI Gateway) #
GET /api/v1/databricks/ai-ml-services/endpoints/filters Get filter values for the unified AI/ML endpoints list #
GET /api/v1/databricks/ai-ml-services/endpoints/filters/names Get searchable, paginated endpoint names for the name filter #
GET /api/v1/databricks/ai-ml-services/endpoints/{endpoint_name} Get endpoint detail (Model Serving, Vector Search or AI Gateway) #
GET /api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}/trend Get endpoint trend (Model Serving, Vector Search or AI Gateway) #
GET /api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}/callers Get jobs/queries calling a model serving endpoint #
GET /api/v1/databricks/ai-ml-services/endpoints/{endpoint_name}/usage-breakdown Get AI function usage breakdown by source #
GET /api/v1/databricks/spark Get all Spark applications #
GET /api/v1/databricks/spark/{application_id} Get Spark application details #
GET /api/v1/databricks/spark/{application_id}/stages Get Spark application stages #
GET /api/v1/databricks/spark/{application_id}/task-stats Get per-stage task statistics #
GET /api/v1/databricks/spark/{application_id}/config Get Spark application configuration #
GET /api/v1/databricks/spark/{application_id}/plan-analysis Get Spark plan analysis flags #
POST /api/v1/databricks/connections/test Test Databricks connection credentials #
POST /api/v1/databricks/connections Create a new Databricks connection #
GET /api/v1/databricks/connections List all Databricks connections #
GET /api/v1/databricks/connections/{connection_id} Get a Databricks connection by ID #
DELETE /api/v1/databricks/connections/{connection_id} Delete a Databricks connection #
POST /api/v1/databricks/connections/{connection_id}/validate Re-validate an existing connection #
GET /api/v1/databricks/access-rules/options List Databricks accounts/workspaces grantable in access rules #

Documentation

📖
Documentation
https://help.altimate.ai/
📖
APIReference
https://api.myaltimate.com/docs

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/altimate-ai/refs/heads/main/openapi/altimate-ai-databricks-api-openapi.yml

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OpenAPI Specification

altimate-ai-databricks-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Fast DATABRICKS API
  version: 0.1.0
tags:


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# Full source: https://raw.githubusercontent.com/api-evangelist/altimate-ai/refs/heads/main/openapi/altimate-ai-databricks-api-openapi.yml