How to Evaluate Power BI vs Tableau vs Looker
A deep technical comparison of the three leading BI platforms. Covers data modeling, deployment, governance, performance, cost, and migration considerations.
Choosing a BI platform is a 3-5 year commitment. Migrations are expensive — typically $200K-$800K for mid-size organizations. Make the right choice upfront.
Feature Comparison
| Capability | Power BI | Tableau | Looker |
|---|---|---|---|
| Deployment | Cloud (SaaS) + On-prem | Cloud + On-prem | Cloud only |
| Data Model | Tabular (SSAS/VertiPaq) | VizQL (in-memory) | LookML (code-based) |
| Language | DAX + Power Query (M) | VizQL + LOD expressions | LookML + SQL |
| Governance | Workspaces + RLS | Projects + permissions | Explores + access filters |
| Embedding | Power BI Embedded | Tableau Embedded | Looker Embedded |
| AI Features | Copilot, Q&A, Key Influencers | Ask Data, Einstein | Gemini integration |
| Real-Time | DirectQuery + streaming | Live connections | Derived tables |
| Self-Service | Strong (Desktop app) | Very strong | Moderate (developer-first) |
| Mobile | Native iOS/Android | Native iOS/Android | Web (responsive) |
| Ecosystem | Microsoft (Azure, 365, Teams) | Salesforce | Google Cloud |
Decision Framework
Choose Power BI if
- Heavy Microsoft ecosystem (Azure, D365, Office 365)
- Cost is a primary concern ($10/user/month)
- Self-service is important (Desktop tool is excellent)
- You need tight integration with Excel and Teams
- Data model complexity requires DAX (time intelligence, etc.)
Choose Tableau if
- Advanced visualization is the top priority
- Salesforce ecosystem integration needed
- Analyst team prefers visual drag-and-drop
- You need sophisticated maps and spatial analysis
- Creative/complex dashboard design is valued
Choose Looker if
- Engineering-first culture (LookML is code)
- Google Cloud ecosystem (BigQuery native)
- Consistency is priority (single source of truth metrics)
- Embedded analytics is a key use case
- Git-based version control for analytics is needed
Cost Comparison (200 Users)
| Component | Power BI | Tableau | Looker |
|---|---|---|---|
| Creator License | $10/user/mo (Pro) | $75/user/mo (Explorer) | Custom pricing |
| Viewer License | $10/user/mo (Pro) | $15/user/mo (Viewer) | Custom pricing |
| Premium/Enterprise | ~$5K/mo (capacity) | ~$70/user/mo (Cloud) | ~$5K-$8K/mo |
| 50 creators + 150 viewers | ~$2,000/mo | ~$6,000/mo | ~$6,000-$8,000/mo |
| Annual Estimate | ~$24,000 | ~$72,000 | ~$72,000-$96,000 |
:::tip[Cost Reality] Power BI is 2-3x cheaper than Tableau/Looker for the same user count. However, factor in implementation and training costs — switching from an existing platform can cost $200K-$500K in migration effort alone. :::
Performance Characteristics
| Scenario | Power BI | Tableau | Looker |
|---|---|---|---|
| 1M row dataset | Instant (Import mode) | Fast (extract) | Depends on warehouse |
| 100M row dataset | Fast (Import, compressed) | Fast (extract, compressed) | Query time on warehouse |
| 1B+ row dataset | DirectQuery (warehouse-dependent) | Live connection | Native (pushdown) |
| Complex calculations | DAX compute (seconds) | VizQL compute (seconds) | SQL pushdown (varies) |
| Concurrent users (50+) | Premium capacity required | Server capacity needed | Warehouse scales |
Migration Considerations
From Tableau to Power BI
Effort areas:
├── Workbook → Report conversion (manual, ~2hr per dashboard)
├── Data source → Semantic model migration
├── Prep flows → Power Query / Dataflows
├── Server permissions → Workspace + RLS
└── Custom SQL → DAX measures
Typical timeline: 3-6 months (200 dashboards)
Typical cost: $150K-$400K (consulting + internal)From Power BI to Lookerjump
Effort areas:
├── DAX measures → LookML definitions
├── Semantic model → LookML model
├── Reports → Looks + Dashboards
├── Row-level security → Access filters
└── Dataflows → dbt models
Typical timeline: 4-8 months (200 reports)
Typical cost: $200K-$600KDecision Checklist
- Assessed team skills and preferences
- Evaluated ecosystem alignment (Microsoft/Salesforce/Google)
- Calculated 3-year TCO including licenses, implementation, and training
- Tested each platform with a representative dataset
- Validated governance model meets compliance requirements
- Checked embedding capabilities if needed
- Estimated migration cost from current platform
- Got vendor references from similar-sized organizations
- Mapped self-service requirements to platform capabilities
:::note[Source] This guide is derived from operational intelligence at Garnet Grid Consulting. For a Power BI health check or BI platform evaluation, visit garnetgrid.com. :::