BigQuery ML and Vertex AI Generative AI (GenAI) are both machine learning (ML) services that can be used to build and deploy ML models. However, there are some key differences between the two services.
- BigQuery ML: BigQuery ML is a fully managed ML service that allows you to build and deploy ML models without having to manage any infrastructure. BigQuery ML uses the same machine learning algorithms as Vertex AI, but it does not offer the same level of flexibility or control.
- Vertex AI Generative AI: Vertex AI Generative AI is a managed ML service that offers a wider range of generative AI models than BigQuery ML. Vertex AI Generative AI also offers more flexibility and control over the ML model training process.
If you are looking for a fully managed ML service that is easy to use, then BigQuery ML is a good option. If you need more flexibility and control over the ML model training process, then Vertex AI Generative AI is a better option.
Here is a table summarizing the key differences between BigQuery ML and Vertex AI Generative AI:
Feature | BigQuery ML | Vertex AI Generative AI |
---|---|---|
Managed | Yes | Yes |
Flexibility | Low | High |
Control | Low | High |
Range of models | Narrow | Wide |
Cost | Pay-per-use | Pay-per-use |