Industry & specialized ML · AWS vs Google Cloud
Amazon Lookout for Metrics vs BigQuery ML
Lookout for Metrics (discontinued) maps partly to BigQuery ML anomaly detection on time-series data in BigQuery.
Side-by-side comparison
| Aspect | Amazon Web Services | Google Cloud |
|---|---|---|
| Service | Amazon Lookout for Metrics Retired | BigQuery ML |
| Lifecycle | Fully shut down Oct 10, 2025. | Generally available |
| What it is | Anomaly detection on business metrics. | Create and run ML models with SQL inside BigQuery, including forecasting (ARIMA_PLUS, TimesFM), anomaly detection, and calls to remote Gemini models. |
| Pricing model | Not applicable (retired). | Billed through BigQuery compute. |
| Docs | Amazon Lookout for Metrics docs | BigQuery ML docs |
| Pricing page | — | BigQuery ML pricing |
Key differences
- You write SQL (for example AI.DETECT_ANOMALIES) instead of configuring a managed detector with alerts.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Not applicable (retired).
- GCP
- Billed through BigQuery compute. BigQuery ML pricing →
And on Azure?
No equivalent Azure's equivalent is Azure AI Metrics Advisor. AWS vs Azure comparison →
FAQ
What is the Google Cloud equivalent of Amazon Lookout for Metrics?
Lookout for Metrics (discontinued) maps partly to BigQuery ML anomaly detection on time-series data in BigQuery.
How does pricing compare between Amazon Lookout for Metrics and BigQuery ML?
AWS: Not applicable (retired). Google Cloud: Billed through BigQuery compute. Check the official pricing pages for current rates.
What is the Azure equivalent?
Azure AI Metrics Advisor (no equivalent). There's no current equivalent on either side.