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Power BI vs Looker (Google Cloud) — Analytics Platform Comparison [2026]

Em resumo, Power BI is a desktop-and-cloud BI tool with broad data connectivity and Excel-like familiarity. Looker (Google Cloud) is a modern, code-first analytics platform built on LookML, ideal for data teams wanting a single source of truth via a semantic layer. Power BI wins on cost and ease of use; Looker wins on data governance and engineering-first workflows.

Comparação de Recursos

RecursoPower BILooker
Pricing Model$10-20/user/monthCustom pricing (~$5,000+/month platform fee)
Semantic LayerImplicit via data modelLookML (version-controlled, Git-native)
Self-ServiceStrong — drag-and-drop + Q&AExplore interface, curated views
Data GovernanceRow-level security, workspacesBest-in-class via LookML governance
Cloud PlatformAzure-nativeGoogle Cloud-native (BigQuery)
Embedded AnalyticsPower BI EmbeddedLooker Embedded (white-label)
Developer ExperienceLow-code, Power Query M + DAXCode-first (LookML + SQL)
Real-Time DataDirectQuery + streaming datasetsLive BigQuery connections

Comparação de Preços

NívelPower BILooker
Small Team (10 users)$100-200/month$5,000-8,000/month (platform fee + seats)
Medium (50 users)$500-1,000/month$8,000-15,000/month
Enterprise (200+ users)$4,000-8,000/month$15,000-40,000+/month

Nosso Veredicto

Power BI is the practical choice for most organizations — it delivers strong analytics at a price that cannot be beaten. Looker is the better choice for engineering-driven data teams on Google Cloud who need strict governance and a code-first approach. ECOSIRE implements both platforms with ERP data integration expertise.

Escolha Power BI Quando

  • You want affordable BI without platform-level pricing commitments
  • Your team prefers visual, drag-and-drop report building over code
  • You are invested in the Microsoft/Azure data ecosystem
  • You need desktop authoring with offline capabilities

Escolha Looker Quando

  • You have a data engineering team that wants version-controlled analytics (LookML)
  • Your data warehouse is BigQuery and you want native, zero-copy access
  • You need a strong semantic layer to enforce a single source of truth across teams

Frequently Asked Questions

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