{
  "id": "microsoft-power-bi-vs-looker",
  "ids": [
    "microsoft-power-bi",
    "looker"
  ],
  "title": "Microsoft Power BI vs Looker: business intelligence models, dashboards and viewer access",
  "heading": "Microsoft Power BI vs Looker",
  "kicker": "Business software comparison",
  "deck": "Power BI fits a Microsoft analytics environment; Looker centres on governed semantic definitions and connected data platforms. Recreate the same business metric, refresh and viewer permissions, and include any warehouse or capacity cost in the comparison.",
  "description": "Compare Microsoft Power BI vs Looker for business intelligence models, dashboards and viewer access.",
  "answerHeading": "Which option fits the requirement?",
  "answer": "Power BI fits a Microsoft analytics environment; Looker centres on governed semantic definitions and connected data platforms. Recreate the same business metric, refresh and viewer permissions, and include any warehouse or capacity cost in the comparison.",
  "checkedAt": "2026-10-25",
  "researchTag": "Deployment, compatibility and cost scope",
  "researchLimit": "Official product material reviewed. Acceptance checks are proposed exercises, not completed product trials, performance measurements or reliability guarantees.",
  "datasetDescription": "Seven technical differences and four proposed acceptance checks for Microsoft Power BI vs Looker.",
  "type": "workflow-buying",
  "sharedBuyingNeed": "Evaluate alternative approaches to business intelligence models, dashboards and viewer access.",
  "rows": [
    [
      "Analytics focus",
      "Business intelligence in the Microsoft environment",
      "Governed business intelligence and embedded analytics"
    ],
    [
      "Authoring context",
      "Selected Power BI authoring tools",
      "Selected Looker development and analysis environment"
    ],
    [
      "Model context",
      "Semantic models, relationships and selected calculations",
      "LookML semantic modelling and governed definitions"
    ],
    [
      "Hosting context",
      "Selected Power BI or Fabric service; report-server arrangements are separate",
      "Selected Looker hosting and connected data platform"
    ],
    [
      "Distribution",
      "Workspace, report and viewer access depend on the licence and capacity",
      "Selected user, content and embedded-access arrangements"
    ],
    [
      "Evaluation focus",
      "Data model, refresh, security and actual viewer entitlement",
      "Semantic definitions, connected warehouse and required viewer roles"
    ],
    [
      "Cost components",
      "Selected user licences, capacity, data services and implementation",
      "Selected Looker agreement, user or embedding scope and warehouse usage"
    ]
  ],
  "scenarios": [
    {
      "name": "Metric definition",
      "question": "Can the team build one agreed metric using an authorised copied dataset?",
      "left": "With Microsoft Power BI, build one agreed metric using an authorised copied dataset.",
      "right": "With Looker, build one agreed metric using an authorised copied dataset.",
      "note": "The result reconciles with an independently specified expected value."
    },
    {
      "name": "Refresh workflow",
      "question": "Can the team update the sample source and refresh the analysis?",
      "left": "With Microsoft Power BI, update the sample source and refresh the analysis.",
      "right": "With Looker, update the sample source and refresh the analysis.",
      "note": "The team can explain when and how the change becomes visible."
    },
    {
      "name": "Restricted viewer",
      "question": "Can the team inspect the result using a limited test viewer account?",
      "left": "With Microsoft Power BI, inspect the result using a limited test viewer account.",
      "right": "With Looker, inspect the result using a limited test viewer account.",
      "note": "Only the intended rows and content are accessible."
    },
    {
      "name": "Distribution quote",
      "question": "Can the team scope authoring, hosting, refresh and the actual viewer population?",
      "left": "With Microsoft Power BI, scope authoring, hosting, refresh and the actual viewer population.",
      "right": "With Looker, scope authoring, hosting, refresh and the actual viewer population.",
      "note": "All required licences, capacity and connected data costs are identified."
    }
  ],
  "exampleTable": {
    "caption": "Proposed exercises using copied files, test accounts or other authorised non-production material. Record the app edition, device, settings and observed outcome.",
    "headers": [
      "Requirement",
      "Proposed exercise",
      "Accept when"
    ],
    "rows": [
      [
        "Metric definition",
        "Build one agreed metric using an authorised copied dataset.",
        "The result reconciles with an independently specified expected value."
      ],
      [
        "Refresh workflow",
        "Update the sample source and refresh the analysis.",
        "The team can explain when and how the change becomes visible."
      ],
      [
        "Restricted viewer",
        "Inspect the result using a limited test viewer account.",
        "Only the intended rows and content are accessible."
      ],
      [
        "Distribution quote",
        "Scope authoring, hosting, refresh and the actual viewer population.",
        "All required licences, capacity and connected data costs are identified."
      ]
    ]
  },
  "sections": [
    {
      "id": "scope-and-architecture",
      "navLabel": "Product fit",
      "title": "Workflow and product fit",
      "paragraphs": [
        "Power BI fits a Microsoft analytics environment; Looker centres on governed semantic definitions and connected data platforms. Recreate the same business metric, refresh and viewer permissions, and include any warehouse or capacity cost in the comparison.",
        "Compare the actual analytics product and deployment, including authoring, data modelling, refresh, permissions and viewer access. Looker is distinct from Looker Studio. Qlik Sense client-managed deployments and Qlik Cloud have differences, and Tableau authoring and hosting products have separate responsibilities. A public sharing route is not equivalent to controlled business distribution."
      ],
      "links": [
        {
          "url": "https://www.microsoft.com/en-us/power-platform/products/power-bi/",
          "label": "Microsoft Power BI product information"
        },
        {
          "url": "https://cloud.google.com/looker",
          "label": "Looker product information"
        }
      ]
    },
    {
      "id": "cost-and-migration",
      "navLabel": "Costs & migration",
      "title": "Cost and migration planning",
      "paragraphs": [
        "For Microsoft Power BI, include selected user licences, capacity, data services and implementation. For Looker, include selected Looker agreement, user or embedding scope and warehouse usage. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration.",
        "Use an authorised copied dataset and agree metric definitions before rebuilding dashboards. Reconcile row counts, calculations, filters, refresh and viewer permissions, and retain the original reports until owners approve the handover."
      ]
    }
  ],
  "faqs": [
    {
      "question": "How should we choose between Microsoft Power BI and Looker?",
      "answer": "Power BI fits a Microsoft analytics environment; Looker centres on governed semantic definitions and connected data platforms. Recreate the same business metric, refresh and viewer permissions, and include any warehouse or capacity cost in the comparison."
    },
    {
      "question": "Which costs belong in the comparison?",
      "answer": "For Microsoft Power BI, include selected user licences, capacity, data services and implementation. For Looker, include selected Looker agreement, user or embedding scope and warehouse usage. Use the same workload and resilience assumptions, then confirm current vendor terms for the selected configuration."
    },
    {
      "question": "What should we check before switching?",
      "answer": "Use an authorised copied dataset and agree metric definitions before rebuilding dashboards. Reconcile row counts, calculations, filters, refresh and viewer permissions, and retain the original reports until owners approve the handover."
    }
  ],
  "sources": [
    {
      "url": "https://www.microsoft.com/en-us/power-platform/products/power-bi/",
      "facts": "Official product scope, deployment and integration context used for business intelligence models, dashboards and viewer access."
    },
    {
      "url": "https://cloud.google.com/looker",
      "facts": "Official product scope, deployment and integration context used for business intelligence models, dashboards and viewer access."
    }
  ],
  "relatedLinks": [
    {
      "path": "/categories/business-intelligence/",
      "title": "Business Intelligence software"
    },
    {
      "path": "/guides/business-intelligence-evaluation-checklist/",
      "title": "Business intelligence evaluation checklist"
    }
  ]
}