| Overview |
An open-source low-code platform for building internal tools with a visual builder and extensive data source connectors. |
Google Cloud's unified ML platform for building, deploying, and scaling AI models including Gemini and PaLM. |
| Pricing |
Freemium (Free-$40/user/month) |
Pay-per-use ($$-$$$$) |
| Key Features |
- Open source
- Visual builder
- Data source connectors
- JavaScript widgets
- Git sync
- RBAC
- Audit logs
- Custom widgets
|
- Gemini models
- AutoML
- Model Garden
- Pipelines
- Feature Store
- Matching Engine
- MLOps
|
| Pros |
- Open source
- Self-hosted option
- Good community
- Many connectors
|
- Full ML lifecycle
- Google Cloud integration
- Enterprise features
- Multiple model options
|
| Cons |
- UI can be janky
- Learning curve
- Community support varies
- Fewer pre-built components
|
- Complex setup
- GCP dependency
- Steep learning curve
- Expensive at scale
|
