Overview
Anomalo uses machine learning to automatically detect data quality issues without requiring manual rule configuration. It learns normal patterns in your data and alerts when anomalies occur—catching issues that rule-based systems miss.
Key Features
- ✓ Unsupervised ML: No rules to configure
- ✓ Auto-detection: Learns data patterns automatically
- ✓ Root Cause Analysis: Identifies issue sources
- ✓ Key Metrics Monitoring: Track business metrics
- ✓ Data Validation: Check freshness and completeness
- ✓ Integrations: Alerts to Slack, PagerDuty
Pros
- 👍 Truly automatic (no rule writing)
- 👍 Catches unknown unknowns
- 👍 Fast time-to-value
- 👍 Good anomaly explanations
- 👍 Strong ML team
Cons
- 👎 Enterprise pricing
- 👎 Needs volume for ML to work
- 👎 Less control than rules-based
- 👎 Newer company
Best For
Teams with too much data to write rules for, who want automated anomaly detection. Good when you don't know what to monitor.
Founded: 2018 HQ: Palo Alto, CA