IBM Watson Studio
Reviews
Star rating
Rank in Data Preparation
Pros and cons
Pros
- AI Technology
- AI Capabilities
- Ease of Use
- Machine Learning
- AI Modeling
- AI Integration
Cons
- Steep Learning Curve
- Expensive
- Learning Curve
- Not User-Friendly
- Learning Difficulty
- Complexity
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 30.8% |
| Mid-Market | 19.5% |
| Enterprise | 49.7% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q2 | 2 | 4.5 |
| 2026 Q1 | 2 | 4.5 |
| 2026 Q2 | 2 | 4.0 |
| 2026 Q3 | 2 | 4.0 |
Satisfaction ratings
What reviewers say
Potente para IA colaborativa en IBM Cloud, con curva de aprendizaje
“La facilidad para desarrollar y desplegar modelos de IA, el trabajo colaborativo y la integración con notebooks y servicios de IBM Cloud.”
Una plataforma todo en uno Útil para análisis de datos e IA
“Me gusta que reúne en una sola plataforma las herramientas para trabajar con datos, crear modelos de IA y colaborar con otros equipos de forma sencilla.”
Powerful Enterprise AI Scaling, but a Complex Setup for New Developers
“Scaling AI solutions in an enterprise environment feels straightforward with this platform. It also makes it easier to manage projects and experiment with foundation models. IBM’s emphasis on governance, flexibility, and responsible AI is what stands out most to me.”