Google Cloud AutoML
52
Reviews
4.3
Star rating
#2
Rank in Low-Code Machine Learning Platforms
Pros and cons
Pros
- Integrated Platform
- Intuitive
- Ease of Use
- AI Integration
- Easy Integrations
- Machine Learning
Cons
- Expensive
- Cost
Traffic & LLM citations
Source: G2 review data
Key stats
—
55
Small Business
2
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 40.4% |
| Mid-Market | 38.5% |
| Enterprise | 21.2% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q3 | 1 | 4.5 |
| 2026 Q3 | 26 | 4.5 |
Satisfaction ratings
Ease of Use9.1
Ease of Setup8.7
Quality of Support8.4
Meets Requirements8.8
What reviewers say
A Big Help for Building ML Models and Easing My Work
4.0
“It helps too much in my business to build ML models and ease my work.”
AutoML Makes NLP Model Training Easy and Fast
5.0
“I like that AutoML makes model training easy. I used it for my NLP project, and it helped me train and test models without writing everything from scratch.”
Saves Days on Model Training with Fast, Accurate Deployments
4.0
“Honestly, the best part is how much time it saves on training models. Instead of spending days tuning hyperparameters manually, I can just upload my custom dataset, let the platform handle the heavy lifting, and get a highly accurate model ready to deploy much faster.”