Monte Carlo
Data Observability
Data observability platform for monitoring data quality and preventing downtime.
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Product Overview
Monte Carlo
End-to-end data observability platform that helps data teams detect, resolve, and prevent data quality issues. Uses machine learning to monitor data health and provide automated anomaly detection.
Unique Value Proposition
The first end-to-end data observability platform with ML-powered anomaly detection that requires no manual rule configuration. Reduces data downtime by 90% with automated monitoring across freshness, volume, distribution, and schema.
Categories
Target Market
Industries
Company Size
100 - 50000 employees
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Pricing Information
Pricing Model
tiered
14-day trial period
Typical Contract Length
12 months
Key Features
Integrations
Security Features
Security & Compliance
Implementation & Support
Implementation Time
1 weeks (1 days)
Deployment Options
Support Hours
24/7