{
  "id": "tool:databricks",
  "_kind": "Tool",
  "_file": "domain/tools/stack-part-implementations.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Databricks",
    "homepageUrl": "https://www.databricks.com",
    "kind": "other",
    "description": "Unified data-and-AI platform built on Apache Spark + Delta Lake.\nHandles data lake, warehousing, ML, and notebook workflows.\n"
  },
  "outgoingEdges": [
    {
      "from": "tool:databricks",
      "to": "role:data-engineer",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Ora surfaced Databricks as a top match for data engineering orchestration and warehouse workflows."
      }
    },
    {
      "from": "tool:databricks",
      "to": "workflow:data-pipeline-monitoring",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Jobs, notebooks, and warehouse metadata support pipeline monitoring."
      }
    },
    {
      "from": "tool:databricks",
      "to": "stack-part:data-lake",
      "kind": "implements_stack_part",
      "attributes": {}
    },
    {
      "from": "tool:databricks",
      "to": "skill-area:machine-learning",
      "kind": "used_for",
      "attributes": {}
    },
    {
      "from": "tool:databricks",
      "to": "tool:mlflow",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML platforms — Databricks is a unified data+AI platform; MLflow is ML lifecycle management"
      }
    },
    {
      "from": "tool:databricks",
      "to": "tool:bentoml",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML platforms — Databricks is a unified platform; BentoML is model serving"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "agent-readiness-score:ora.databricks-com",
      "to": "tool:databricks",
      "kind": "scores_agent_readiness_of",
      "attributes": {
        "observedVia": "ora-discover-api"
      }
    },
    {
      "from": "specialization:data-engineering-analytics",
      "to": "tool:databricks",
      "kind": "uses_tool"
    },
    {
      "from": "stack-part:data-lake",
      "to": "tool:databricks",
      "kind": "implemented_by",
      "attributes": {}
    },
    {
      "from": "stack-profile:data-lakehouse",
      "to": "tool:databricks",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:data-lake-stack",
      "to": "tool:databricks",
      "kind": "composed_of"
    },
    {
      "from": "tool:mlflow",
      "to": "tool:databricks",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML platforms — MLflow is ML lifecycle management; Databricks is a unified data+AI platform"
      }
    },
    {
      "from": "tool:bentoml",
      "to": "tool:databricks",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML platforms — BentoML is model serving; Databricks is a unified platform"
      }
    },
    {
      "from": "tool-server:mcp-databricks-candidate",
      "to": "tool:databricks",
      "kind": "integrates_with",
      "attributes": {}
    }
  ]
}