# Bigeye vs Monte Carlo

| Attribute | Bigeye | Monte Carlo |
|---|---|---|
| **Vioscale score** | 49.1 (3% (low)) | 22.4 (3% (low)) |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | Provides tools for organizations to monitor data quality in real-time, automatically detect and classify sensitive information, enforce data governance policies, and meet emerging AI and data protection regulatory requirements. | An observability platform that monitors data quality and AI agent performance in production environments, helping enterprises detect and resolve issues before they impact business outcomes. |
| integrations.count | 50 | 5 |
| integrations.list | `[{"name":"Datadog"},{"name":"Jupyter"},{"name":"Hex"}]` | `[{"name":"Salesforce CRM"},{"name":"Salesforce Data Cloud"},{"name":"Salesforce Agentforce"},{"name":"Snowflake"},{"name":"Looker"}]` |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing.model | commercial | commercial |

## Capabilities (Data Observability)

| Capability | Bigeye | Monte Carlo |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Freshness monitoring | - | - |
| Volume monitoring | - | - |
| Schema change detection | - | - |
| Data quality rules | - | - |
| ML anomaly detection | - | - |
| Lineage impact analysis | - | - |
| Root cause analysis | - | - |
| Incident management workflow | - | - |
| Dbt native | - | - |
| Streaming support | - | - |
| Deployment model | - | - |
| Open source | - | - |
| Pricing model | - | - |

*Source: Vioscale. Generated 2026-09-01T17:32:09.693Z. "-" = undocumented, not absent.*