Azure Anomaly Detector
Best page for teams replacing the retiring Azure Anomaly Detector API.
Go Insights overage starts below Azure’s public univariate price. Open comparison
Comparison hub
Anomaly detection API alternatives.
Use this page to choose the right replacement path. Some vendors are platforms. Some are cloud services. Go Insights is for teams that want a focused detector API with clear pricing.
Replacement pages
Pick the page that matches the search intent.
Amazon Lookout for Metrics
Amazon Lookout for Metrics support has ended. Compare Go Insights for teams that need a simpler anomaly detection API for product, revenue, ops, and marketing metrics.
Paid plans start at $25/month. Overage starts at $0.20 per 1,000 detections, then falls on larger plans. Open comparisonGoogle Cloud Timeseries Insights API
Compare Google Cloud Timeseries Insights API with Go Insights for teams that need a simpler anomaly detection API and predictable pricing.
Go Insights starts free, then paid plans begin at $25/month with transparent overage. Open comparisonDatadog Anomaly Detection
Compare Datadog anomaly monitors with Go Insights for teams that need anomaly detection as an embeddable API rather than a Datadog monitor.
Go Insights starts free. Paid plans begin at $25/month, with included detections and clear overage. Open comparisonAnodot
Compare Anodot with Go Insights for teams that need a lighter anomaly detection API instead of a full business monitoring platform.
Start free. Paid plans begin at $25/month with included detections and overage from $0.20/1K. Open comparison
Quick read
Where each option fits.
| Option | Best fit | Why Go Insights instead |
|---|---|---|
| Azure Anomaly Detector | Existing Azure users planning a retirement migration before October 1, 2026. | Lower overage, free plan, and a replacement page aimed at the same API-style job. |
| Amazon Lookout for Metrics | Historical AWS users replacing a service that has already ended support. | Hosted detector API instead of rebuilding anomaly detection from AWS primitives. |
| Google Timeseries Insights | GCP teams analyzing very large event datasets. | Smaller JSON API when the job is scoring a metric, not designing an event analytics stack. |
| Datadog | Engineering teams that already run monitors and incidents inside Datadog. | API output that can be embedded in your own product, chart, or workflow. |
| Anodot | Teams buying a broader business monitoring platform. | Lighter commercial and implementation surface when anomaly detection is the main requirement. |
Start with the response shape.
Before comparing sales decks, send a real time series through the tester and inspect the JSON your application would receive.