How Databricks’s scores are calculated

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

• [probe] https://docs.databricks.com/llms.txt“PROBE llms.txt: HTTP 200 at https://docs.databricks.com/llms.txt # Databricks Documentation > Comprehensive documentation for the Databricks Data Intelligence Platform, including guides”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI SHIPS vendor agent skills — `databricks aitools install --path /tmp/pa-dbx-skills` keylessly wrote 29 plain SKILL.md skill folders (databricks-docs, databricks-dbsql, databricks-lakeflow-connect, databricks-vector-search, …) with agentskills-style frontmatter, installable for Claude Code, Codex, Cursor, Copilot, and more.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“Genie Code is the AI coding and data assistant for developers and technical practitioners in the Databricks workspace.”

Run the product headlessly / in CI for automationweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“The Databricks CLI (command-line interface) allows you to interact with the Databricks platform from your local terminal or automation scripts.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“allows you to interact with the Databricks platform from your local terminal or automation scripts”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”
• [claimed-docs] https://docs.databricks.com/aws/en/getting-started/“Develop and deploy your first ETL (extract, transform, and load) pipeline for data orchestration with Apache Spark™.”

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Wire up Claude, Cursor, MCP Inspector, and other external clients to MCP servers hosted on Databricks.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Discover, authenticate to, and call managed, MCP Service, and custom MCP servers from your agent code, then deploy the agent on Databricks Apps.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Give your agent governed access to third-party and SaaS tools such as Slack, GitHub, Google Drive, Google Calendar, and Gmail — through built-in system.ai MCP Services, external MCP servers you register”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Create AI agent tools using Unity Catalog functions, including third-party integrations and code interpreter tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/marketplace/“Listings include datasets, AI models, notebooks, apps, and Model Context Protocol (MCP) servers.”
• [probe] https://docs.databricks.com/aws/en/agents/mcp-tools“official MCP server documented at https://docs.databricks.com/aws/en/agents/mcp-tools”

Connect an agent via an official MCP serverweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Host a custom MCP server as a Databricks app to expose your own tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Give your agent governed access to third-party and SaaS tools such as Slack, GitHub, Google Drive, Google Calendar, and Gmail”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Create AI agent tools using Unity Catalog functions, including third-party integrations and code interpreter tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Wire up Claude, Cursor, MCP Inspector, and other external clients to MCP servers hosted on Databricks.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Discover, authenticate to, and call managed, MCP Service, and custom MCP servers from your agent code, then deploy the agent on Databricks Apps.”
• [claimed-docs] https://docs.databricks.com/aws/en/marketplace/“Listings include datasets, AI models, notebooks, apps, and Model Context Protocol (MCP) servers. This gives customers a single catalog for finding data, software, and AI capabilities across the Databricks partner ecosystem.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Give your agent governed access to third-party and SaaS tools such as Slack, GitHub, Google Drive, Google Calendar, and Gmail — through built-in system.ai MCP Services, external MCP servers you register”
• [probe] https://docs.databricks.com/aws/en/agents/mcp-tools“official MCP server documented at https://docs.databricks.com/aws/en/agents/mcp-tools”

Use an official CLIweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“The Databricks CLI (command-line interface) allows you to interact with the Databricks platform from your local terminal or automation scripts.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“allows you to interact with the Databricks platform from your local terminal or automation scripts”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“To migrate from Databricks CLI version 0.18 or below to Databricks CLI version 0.205 or above, see Databricks CLI migration.”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“official CLI documented at https://docs.databricks.com/aws/en/dev-tools/cli/”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI SHIPS vendor agent skills — `databricks aitools install --path /tmp/pa-dbx-skills` keylessly wrote 29 plain SKILL.md skill folders (databricks-docs, databricks-dbsql, databricks-lakeflow-connect, databricks-vector-search, …) with agentskills-style frontmatter, installable for Claude Code, Codex, Cursor, Copilot, and more.”

Drive the product through a documented public APIweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [claimed-docs] https://docs.databricks.com/aws/en/reference/api“API reference hub lists versioned REST APIs side by side, e.g. "Jobs v2.0 API — REST API reference for version 2.0 version of the Jobs REST API. Databricks recommends that you use the latest Databricks REST API for new and existing clients and scripts."”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“API reference (docs.databricks.com/api): "This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and response payload examples. Some reference pages also provide examples for calling a Databricks REST API operation by using the Databricks CLI, the Databricks Terraform provider, or one or more of the Databricks SDKs." (No live try-it runner is documented.)”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“allows you to interact with the Databricks platform from your local terminal or automation scripts”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/databricks-connect/“Just like a JDBC driver, the Databricks Connect library can be embedded in any application to interact with Databricks.”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“official CLI documented at https://docs.databricks.com/aws/en/dev-tools/cli/”

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“enforcing access control when you query a table or call a model, tracking lineage as data and AI assets are used, logging activity for auditing”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“Unity Catalog operates beneath every data and AI interaction in your workspaces automatically: enforcing access control when you query a table or call a model, tracking lineage as data and AI assets are used, logging activity for auditing, and more.”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“Unity Catalog operates beneath every data and AI interaction in your workspaces automatically: enforcing access control when you query a table or call a model, tracking lineage as data and AI assets are used, logging activity for auditing”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Give your agent governed access to third-party and SaaS tools such as Slack, GitHub, Google Drive, Google Calendar, and Gmail — through built-in system.ai MCP Services, external MCP servers you register”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Create AI agent tools using Unity Catalog functions, including third-party integrations and code interpreter tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“Data and AI assets such as tables, views, volumes, functions, models, and services (model services and MCP services) follow a three-level namespace (catalog.schema.object).”

Build against official SDKsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/databricks-connect/“Databricks Connect enables developers to develop and debug their code on Databricks compute using any IDE's native running and debugging functionality.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/databricks-connect/“Just like a JDBC driver, the Databricks Connect library can be embedded in any application to interact with Databricks.”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI SHIPS vendor agent skills — `databricks aitools install --path /tmp/pa-dbx-skills` keylessly wrote 29 plain SKILL.md skill folders (databricks-docs, databricks-dbsql, databricks-lakeflow-connect, databricks-vector-search, …) with agentskills-style frontmatter, installable for Claude Code, Codex, Cursor, Copilot, and more.”
• [claimed-docs] https://docs.databricks.com/aws/en/reference/api“API reference hub lists versioned REST APIs side by side, e.g. "Jobs v2.0 API — REST API reference for version 2.0 version of the Jobs REST API. Databricks recommends that you use the latest Databricks REST API for new and existing clients and scripts."”

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“API reference (docs.databricks.com/api): "This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and response payload examples. Some reference pages also provide examples for calling a Databricks REST API operation by using the Databricks CLI, the Databricks Terraform provider, or one or more of the Databricks SDKs." (No live try-it runner is documented.)”
• [claimed-docs] https://docs.databricks.com/aws/en/reference/api“API reference hub lists versioned REST APIs side by side, e.g. "Jobs v2.0 API — REST API reference for version 2.0 version of the Jobs REST API. Databricks recommends that you use the latest Databricks REST API for new and existing clients and scripts."”
• [probe] https://docs.databricks.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.databricks.com/openapi.json, https://docs.databricks.com/swagger.json, https://docs.databricks.com/api/openapi.json, https://docs.databricks.com/.well-known/openapi.json)”

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

• [probe] https://docs.databricks.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.databricks.com/openapi.json, https://docs.databricks.com/swagger.json, https://docs.databricks.com/api/openapi.json, https://docs.databricks.com/.well-known/openapi.json)”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“API reference (docs.databricks.com/api): "This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and response payload examples. Some reference pages also provide examples for calling a Databricks REST API operation by using the Databricks CLI, the Databricks Terraform provider, or one or more of the Databricks SDKs." (No live try-it runner is documented.)”

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/sql/dbsql-api-latest“Docs, "Update to the latest Databricks SQL API version": "The legacy API is deprecated and support will end soon. Use this page to migrate your applications and integrations to the new API version" — e.g. "The API path is now api/2.0/sql/queries, replacing the legacy path of /api/2.0/preview/sql/queries".”
• [claimed-docs] https://docs.databricks.com/aws/en/reference/api“API reference hub lists versioned REST APIs side by side, e.g. "Jobs v2.0 API — REST API reference for version 2.0 version of the Jobs REST API. Databricks recommends that you use the latest Databricks REST API for new and existing clients and scripts."”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“API reference (docs.databricks.com/api): "This reference describes the types, paths, and any request payload or query parameters, for each supported Databricks REST API operation. Many reference pages also provide request and response payload examples. Some reference pages also provide examples for calling a Databricks REST API operation by using the Databricks CLI, the Databricks Terraform provider, or one or more of the Databricks SDKs." (No live try-it runner is documented.)”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”

Do everything through the API that I can do in the UIweight 2

2 (weight) × 5 (quality) × 0.3 (disputed) = 3.0 of 20 max

• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“You work with the objects Unity Catalog governs through Catalog Explorer, SQL, the Databricks CLI, and REST APIs.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”
• [community] https://hn.algolia.com/api/v1/items/43982777“No persist() so can't cache dataframes; no good way to get usage info programmatically; can't set Spark config easily (had to hack S3A credentials via options()); Unity Catalog only lets you mount external volumes matching your workspace's cloud provider, blocking cross-cloud setups.”

Export all of my data in open formats and leaveweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

• [claimed-docs] https://docs.databricks.com/aws/en/delta-sharing/“OpenSharing is the secure data sharing platform in Databricks that lets you share data and AI assets with users outside your organization, regardless of whether they use Databricks.”
• [claimed-docs] https://docs.databricks.com/aws/en/marketplace/“The Open Marketplace, which does not require access to a Databricks workspace.”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“You work with the objects Unity Catalog governs through Catalog Explorer, SQL, the Databricks CLI, and REST APIs.”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [community] https://news.ycombinator.com/item?id=36127230“We've been moving our workflows out of Databricks to PostgreSQL to save a ton.”

Read the product's source under an open licenseweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

• [claimed-docs] https://www.databricks.com/product/pricing“Databricks offers you a pay-as-you-go approach with no up-front costs. Only pay for the products you use at per second granularity.”
• [claimed-docs] https://docs.databricks.com/aws/en/getting-started/free-edition“Databricks Free Edition is a no-cost version of Databricks designed for students, educators, hobbyists, and anyone interested in learning or experimenting with data and AI.”
• [community] https://hn.algolia.com/api/v1/items/43982777“They had an excellent Spark-as-a-Service product, at a time when you'd have better luck finding a leprechaun than a reliable self-hosted Spark instance in an enterprise environment.”

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/genie/“Ask data questions in natural language and get answers grounded in your organization's data.”
• [claimed-docs] https://docs.databricks.com/aws/en/sql/“Create interactive AI/BI dashboards with AI-assisted authoring to share insights across your organization.”
• [claimed-docs] https://docs.databricks.com/aws/en/sql/“Get automatic insights and recommendations when queries run inefficiently.”
• [claimed-docs] https://www.databricks.com“From natural language dashboard creation to deep conversational analytics with Genie, this is BI built on AI from the start.”
• [claimed-docs] https://docs.databricks.com/aws/en/sql/“Define business metrics with consistent calculations using a semantic layer. Reuse metrics across queries and dashboards.”
• [claimed-docs] https://docs.databricks.com/aws/en/uc-semantics/metric-views“you define the metric once, for example sum of revenue divided by distinct customer count, and users can group by any available field. The query engine generates the correct computation.”

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“Run Genie Code as an autonomous agent that plans, runs code, fixes errors, and asks for approval before it uses tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/getting-started/“Create and deploy an ETL (extract, transform, and load) pipeline for data orchestration using Lakeflow pipelines and Auto Loader.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“The Databricks CLI (command-line interface) allows you to interact with the Databricks platform from your local terminal or automation scripts.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Create AI agent tools using Unity Catalog functions, including third-party integrations and code interpreter tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Discover, authenticate to, and call managed, MCP Service, and custom MCP servers from your agent code, then deploy the agent on Databricks Apps.”

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“It generates and runs code, builds pipelines and AI/BI dashboards, debugs errors, and works directly with Unity Catalog tables, columns, and lineage”
• [claimed-docs] https://docs.databricks.com/aws/en/genie/“Chat with Genie Code, get inline suggestions, and run agentic tasks in your workspace.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“Run Genie Code as an autonomous agent that plans, runs code, fixes errors, and asks for approval before it uses tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“It generates and runs code, builds pipelines and AI/BI dashboards, debugs errors, and works directly with Unity Catalog tables, columns, and lineage to accelerate multi-step data work.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“Start work directly from Genie Code rather than from an asset like a notebook, run multiple chats in parallel, and persona”
• [claimed-docs] https://docs.databricks.com/aws/en/agents/mcp-tools“Give your agent governed access to third-party and SaaS tools such as Slack, GitHub, Google Drive, Google Calendar, and Gmail”

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/genie/“Ask data questions in natural language and get answers grounded in your organization's data.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“It generates and runs code, builds pipelines and AI/BI dashboards, debugs errors, and works directly with Unity Catalog tables, columns, and lineage”
• [claimed-docs] https://www.databricks.com“From natural language dashboard creation to deep conversational analytics with Genie, this is BI built on AI from the start.”
• [claimed-docs] https://docs.databricks.com/aws/en/genie/“Chat with Genie Code, get inline suggestions, and run agentic tasks in your workspace.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“Run Genie Code as an autonomous agent that plans, runs code, fixes errors, and asks for approval before it uses tools.”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/databricks-assistant-faq“It generates and runs code, builds pipelines and AI/BI dashboards, debugs errors, and works directly with Unity Catalog tables, columns, and lineage to accelerate multi-step data work.”

Perform bulk operations across many items at onceweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“The Databricks CLI (command-line interface) allows you to interact with the Databricks platform from your local terminal or automation scripts.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“allows you to interact with the Databricks platform from your local terminal or automation scripts”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“You work with the objects Unity Catalog governs through Catalog Explorer, SQL, the Databricks CLI, and REST APIs.”
• [claimed-docs] https://docs.databricks.com/api/workspace/introduction“This reference contains information about the Databricks workspace-level application programming interfaces (APIs).”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“Unity Catalog operates beneath every data and AI interaction in your workspaces automatically: enforcing access control when you query a table or call a model, tracking lineage as data and AI assets are used, logging activity for auditing, and more.”

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

• [claimed-docs] https://docs.databricks.com/aws/en/sql/“Monitor query results, evaluate conditions, and deliver notifications automatically.”
• [claimed-docs] https://docs.databricks.com/aws/en/structured-streaming/concepts“Incrementally and efficiently process new data files as they arrive in cloud storage.”
• [claimed-docs] https://docs.databricks.com/aws/en/structured-streaming/concepts“Process data for real-time workloads with end-to-end latency as low as five milliseconds.”
• [claimed-docs] https://docs.databricks.com/aws/en/getting-started/“Create and deploy an ETL (extract, transform, and load) pipeline for data orchestration using Lakeflow pipelines and Auto Loader.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“allows you to interact with the Databricks platform from your local terminal or automation scripts”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”

Schedule recurring jobs or workflowsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

• [claimed-docs] https://docs.databricks.com/aws/en/getting-started/“Create and deploy an ETL (extract, transform, and load) pipeline for data orchestration using Lakeflow pipelines and Auto Loader.”
• [claimed-docs] https://docs.databricks.com/aws/en/getting-started/“Develop and deploy your first ETL (extract, transform, and load) pipeline for data orchestration with Apache Spark™.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“The Databricks CLI (command-line interface) allows you to interact with the Databricks platform from your local terminal or automation scripts.”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/cli/“allows you to interact with the Databricks platform from your local terminal or automation scripts”
• [claimed-docs] https://docs.databricks.com/aws/en/dev-tools/sdk-python“you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python”
• [probe] https://docs.databricks.com/aws/en/dev-tools/cli/“PROBE runtime (recorded 2026-09-06): the Databricks CLI installed via the vendor's brew tap and printed `Databricks CLI v1.15.0` keylessly; its help surface spans workspace, compute, Lakeflow jobs/pipelines, and a raw `databricks api` REST wrapper.”

Version, review, and roll back my automationsweight 1

1 (weight) × 5 (quality) × 0.6 (partial) = 3.0 of 10 max

• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/“Databricks notebooks provide real-time coauthoring in multiple languages, automatic versioning, and built-in data visualizations”
• [claimed-docs] https://docs.databricks.com/aws/en/notebooks/“Databricks notebooks provide real-time coauthoring in multiple languages, automatic versioning, and built-in data visualizations for developing code and presenting results.”
• [claimed-docs] https://docs.databricks.com/aws/en/delta/history“Use history information to audit operations, roll back a table, or query a table at a specific point in time using time travel.”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“enforcing access control when you query a table or call a model, tracking lineage as data and AI assets are used, logging activity for auditing”
• [claimed-docs] https://docs.databricks.com/aws/en/data-governance/unity-catalog/“Unity Catalog operates beneath every data and AI interaction in your workspaces automatically: enforcing access control when you query a table or call a model, tracking lineage as data and AI assets are used, logging activity for auditing, and more.”