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Monte Carlo provides data observability that monitors data quality, freshness, volume, and schema changes across the data stack to detect and resolve data issues.
Pricing
Usage-based
Founded
2019
Team size
201-500 employees
Headquarters
San Francisco, California
Preview from montecarlodata.com
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Integrates with
Monte Carlo provides end-to-end data observability by monitoring data quality across pipelines, warehouses, and lakes. The platform automatically detects anomalies in freshness, volume, schema, and distribution without manual rule configuration.
Root cause analysis and impact analysis help data teams quickly understand and resolve data incidents. Integration with dbt, Snowflake, BigQuery, and Databricks provides comprehensive coverage.
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The vendor hasn’t added security or compliance details yet.
Pricing
Pricing model: Tiered plans
Free trial: No
Free plan: No
Contract minimum: Not specified
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