Anomalo
Automated data quality monitoring that learns your data patterns and alerts you to issues before they impact your business.
Anomalo is an automated data quality monitoring platform that uses machine learning to understand your data patterns and detect anomalies without requiring manual rule configuration. The platform focuses on zero-configuration setup, learning from your historical data to establish baselines and identify deviations.
Founded by former Google and LinkedIn engineers, Anomalo emphasizes ease of use and intelligent automation. Their approach reduces the burden on data teams by automatically discovering what's normal for your data and alerting only when genuine issues occur.
Automated Monitoring
Zero-config setup that learns your data patterns automatically
Root Cause Analysis
Intelligent investigation of data quality issues
Custom Metrics
Define business-specific data quality metrics
Smart Alerting
Contextual notifications with Slack and email integration
- •True zero-configuration setup
- •Intelligent alerting reduces noise
- •Good integration ecosystem
- •Fast time to value
- •Strong customer support
- •Limited customization options
- •Relatively new to the market
- •Pricing not transparent
- •May miss edge cases that require manual rules
Busy Data Teams
Teams that want monitoring without manual configuration
Growing Companies
Organizations scaling their data operations
Cloud-First Teams
Modern data stacks with cloud data warehouses
Discover Financial
Financial Services
"Anomalo provides automated anomaly detection, helping us maintain data quality across our financial systems."
Source: anomalo.com