Azure Data Factory
Reviews
Star rating
Rank in Big Data Integration Platforms
Pros and cons
Pros
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
Cons
- Debugging Difficulty
- Difficult Debugging
- Expensive
- Error Reporting
- Complex Usability
- Complexity
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 11.9% |
| Mid-Market | 28.7% |
| Enterprise | 59.4% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 3 | 4.8 |
| 2025 Q1 | 1 | 4.5 |
| 2025 Q3 | 2 | 3.5 |
| 2025 Q4 | 4 | 4.5 |
| 2026 Q1 | 8 | 4.7 |
| 2026 Q2 | 6 | 4.4 |
Satisfaction ratings
What reviewers say
Low-Code Drag-and-Drop That Makes Development Easy for Developers and Business Users
“The best part is its low-code/no-code (drag-and-drop) functionality. It makes development easier for developers and also makes the process more understandable for business users.”
Easy Drag-and-Drop Workflows for Everyone
“It offers a drag and drop interface that allows users to build data workflows very easily, even non-technical users can leverage it while a technical user can still write a custom code if needed.”
Potente orchestrazione centralizzata, ma richiede tempo per diventare davvero intuitivo
“mi piace soprattutto la sua capacità di orchestrare pipeline in modo centralizzato e abbastanza intuitivo. Azure Data Factory è pensato proprio per creare e schedulare workflow data-driven, con integrazione nativa con molte sorgenti e servizi Azure. Se devo essere più concreto, ”