Monte Carlo
Data observability platform for pipeline monitoring
Shyft Score
Directory quality rating
73/100
Quiet
Our take
The verdict on Monte Carlo
AI-generated
Monte Carlo offers robust data observability with real-time monitoring and comprehensive lineage tracking, making it a strong choice for data teams needing pipeline reliability.
Strengths
- Real-time data monitoring and anomaly detection
- Free tier available
- Comprehensive data lineage tracking
Limitations
- Pricing model unclear
- No AI agent support
Best for: Data teams in mid-to-large enterprises needing pipeline monitoring and anomaly detection
Try Monte Carlo's free tier to see if it fits your workflow.
See how Monte Carlo fits your stackAbout
What is Monte Carlo?
Data observability platform detecting, alerting, and resolving data quality issues. Monitors data pipelines for freshness, volume, schema, and distribution anomalies.
Key capabilities
Real-time data monitoring
Automated anomaly detection
Data quality alerts
Integration with data warehouses
Comprehensive data lineage tracking
At a glance
Use cases
What you can do with Monte Carlo
Monitor data pipelines for anomalies and failures in real-time
Set up alerts for data quality issues to proactively address potential problems
Track data lineage to understand the impact of changes in the data pipeline
Best for
Data engineersData analystsData scientists
Pricing
Monte Carlo pricing
Monte Carlo starts at $0/mo
Starting at $0/mo
Ecosystem
Connected ecosystem
MCP servers, AI skills, and integrations that work with Monte Carlo
Integrations
SnowflakeBigQueryRedshiftLookerTableauApache AirflowdbtSlackMicrosoft Teams
FAQs
Frequently asked questions
Common questions about Monte Carlo and its capabilities
Monte Carlo pricing starts at $0/mo. Contact Monte Carlo for enterprise pricing and volume discounts.
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