Microsoft Fabric vs. Dataiku
A side-by-side comparison based on G2 review data.
| Metric | Microsoft Fabric | Dataiku |
|---|---|---|
| Overall rating | 4.6 | 4.4 |
| Review count | 46 | 267 |
| Ease of use | 9.1 | 8.8 |
| Ease of setup | 9.1 | 8.4 |
| Quality of support | 9.2 | 8.7 |
| Meets requirements | 9.4 | 8.9 |
| NPS | 81.818182 | 58.267717 |
| Small Business | 22.2% | 18.6% |
| Mid-Market | 37.8% | 22.4% |
| Enterprise | 40.0% | 58.9% |
| Total page views | 528 | 1,763 |
| Total LLM citations | 3,698 | 16,600 |
Microsoft Fabric
Microsoft Fabric is a comprehensive, AI-powered data analytics platform that unifies various data management and analysis tools into a single, integrated environment. It combines the capabilities of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory, offering a seamless experience for data integration, engineering, warehousing, real-time analytics, data science, and business intelligence. By centralizing these services, Fabric simplifies data management, enhances collaboration, and accelerates the transformation of raw data into actionable insights.
- Ease of Use
- Customer Support
- Intuitive
- Features
- Easy Setup
- Data Integration
Dataiku
Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI.
- Features
- Ease of Use
- Usability
- Easy Integrations
- Productivity Improvement
- Collaboration