Canary Edge vs Azure Anomaly Detector: Feature Comparison
With Azure Anomaly Detector retiring in October 2026, many teams are evaluating alternatives. Here's an honest comparison of Canary Edge and Azure Anomaly Detector across the dimensions that matter most.
API Compatibility
| Feature | Azure AD | Canary Edge |
|---|---|---|
| Request format | JSON with series array | Identical |
| Response format | isAnomaly, expectedValues, margins | Identical |
| Auth header | Ocp-Apim-Subscription-Key | Same header name |
| Endpoint structure | /timeseries/entire/detect | /v1/timeseries/entire/detect |
Verdict: Canary Edge is designed as a drop-in replacement. The only change is the base URL and API key.
Detection Accuracy
Azure Anomaly Detector uses a Spectral Residual (SR) algorithm combined with a Convolutional Neural Network. This works well for periodic data but struggles with: - Non-stationary time series - Gradual regime shifts - Multi-modal operating patterns
Canary Edge uses a state-of-the-art time-series AI model that predicts expected system behavior. On our internal benchmarks using public anomaly detection datasets:
| Dataset | Azure AD F1 | Canary Edge F1 |
|---|---|---|
| NAB (Numenta) | 0.68 | 0.82 |
| Yahoo S5 | 0.71 | 0.85 |
| KDD-TSAD | 0.64 | 0.79 |
Verdict: Canary Edge shows 15-25% improvement in F1 score, with the largest gains on datasets with concept drift and contextual anomalies.
Latency
| Metric | Azure AD | Canary Edge |
|---|---|---|
| P50 latency | ~200ms | ~80ms |
| P99 latency | ~800ms | ~250ms |
| Cold start | Yes (first request) | No |
Verdict: Canary Edge is 2-3x faster due to optimized inference and no cold start penalty.
Pricing
| Plan | Azure AD | Canary Edge |
|---|---|---|
| Free tier | 20K transactions/month | 10K data points/month |
| Standard | $0.314 per 1K transactions | $0.10 per 1K data points |
| Billing | Azure subscription | Stripe (pay-as-you-go) |
Verdict: Canary Edge is roughly 3x cheaper per data point, with simpler billing.
Features Azure Didn't Have
- **Per-machine fine-tuning** — Train a model specific to your equipment
- **Regime classification** — Automatic HEALTHY/ACTIVE/TRANSITION/SHOCK labels
- **Batch detection** — Analyze multiple series in a single request
- **Webhook notifications** — Get alerted when anomalies are detected
What Azure Had That We Don't (Yet)
- **Multivariate detection** — Azure supported correlated multi-sensor analysis. We're building this for Q3 2026.
- **Change point detection** — Dedicated endpoint for structural breaks. Available in our roadmap.
- **Azure ecosystem integration** — Native Power BI, Logic Apps connectors. We focus on REST API and webhooks.
Bottom Line
If you're migrating from Azure Anomaly Detector, Canary Edge gives you API compatibility with better accuracy, lower latency, and simpler pricing. The migration takes minutes, not weeks.
[Start your migration](/migrate) or [try the API](https://docs.canaryedge.com/quickstart) to see for yourself.