Business Intelligence
Data analytics and business intelligence platforms
6 softwares in this category
// Competitive Landscape : Business Intelligence
Weights
Leverage
| Feature Depth | 1x |
| Customization | 1.5x |
| Analytics | 2.0x |
| Integrations | 1.8x |
| API Quality | 1.3x |
| Scalability | 1.2x |
| Security | 1x |
| Access Controls | 1x |
| Performance | 1.6x |
| Usage Limits | 1x |
| Roadmap | 1x |
Ease
| Pricing Transparency | 1x |
| Trial Availability | 1x |
| Learning Curve | 1.4x |
| UI Quality | 1.6x |
| Onboarding | 1x |
| Data Migration | 1.3x |
| Training Resources | 1x |
| Documentation | 1.3x |
| Support | 1x |
| Implementation Speed | 1.2x |
| Data Portability | 1x |
Business Intelligence Market Overview
BI is transitioning from report factories to self-service analytics.
Market Evolution
Traditional BI (2000s): IT-controlled, slow, reliable
Self-Service (2010s): Tableau, Power BI democratization
Modern Stack (2020s): dbt, Looker, composable analytics
AI-Native (2024+): Natural language queries, auto-insights
Market Size & Players
- Market Size: ~$30B (2024)
- Growth: 10-12% CAGR
| Segment | Leaders |
|---|---|
| Enterprise BI | Tableau, Power BI, Qlik |
| Modern BI | Looker, Mode, Sigma |
| Embedded | Metabase, Preset, Cube |
| Semantic Layer | dbt, Looker, AtScale |
Key Trends
- Semantic layer becoming mandatory
- Metrics stores standardizing definitions
- Reverse ETL activating data in tools
- AI assistants lowering query barrier
BI Competitive Dynamics
The Visualization Race
Tableau's Position
- Gold standard for visualization
- Strong community, Tableau Public
- Acquired by Salesforce (integration focus)
Power BI's Strategy
- Bundled with M365
- Aggressive pricing
- Azure-native features
Looker's Approach
- LookML semantic layer
- Developer-friendly
- Google Cloud integration
The Modern Data Stack Effect
New architecture reshaping BI:
Sources → Fivetran → Snowflake → dbt → Looker/Tableau
This separates:
- Transformation (dbt)
- Semantic layer (Looker, dbt metrics)
- Visualization (any BI tool)
Switching Considerations
| Factor | Difficulty |
|---|---|
| Dashboards | Low (rebuild) |
| Data models | Medium (logic migration) |
| Semantic layer | High (definitions) |
| Embedded analytics | High (integration work) |
| User training | Medium |
The hardest part isn't the tool—it's the semantic layer migration.
M
Metabase
by Metabase
6.1
Leverage
8.7
Ease
Business Intelligence
View details
T
Tableau
by Salesforce (Tableau)
7.7
Leverage
5.6
Ease
Business Intelligence
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M
Microsoft Power BI
by Microsoft
7.4
Leverage
5.7
Ease
Business Intelligence
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Q
Qlik Sense
by Qlik Technologies
7.3
Leverage
5.6
Ease
Business Intelligence
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L
Looker
by Google Cloud
7.1
Leverage
5.7
Ease
Business Intelligence
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L
Looker Studio
by Google
3.9
Leverage
8.4
Ease
Business Intelligence
View details