# Great Expectations vs Soda

| Attribute | Great Expectations | Soda |
|---|---|---|
| **Vioscale score** | 38.6 (26% (low)) | 42.8 (8% (low)) |
| deployment.options | `{"cloud":true,"self_hosted":true}` | - |
| description.long | A data quality platform that enables teams to define, test, and monitor data reliability across pipelines and systems. Combines automated validation with collaborative documentation to surface data issues and maintain organizational trust in data assets. | An AI-powered data quality platform that automatically detects and helps fix data issues. Core features include metrics monitoring, row-level anomaly detection, and root cause analysis, with failed records automatically stored in your data warehouse. |
| features.capabilities | - | `{"deployment_model":"self-hosted","data_quality_rules":true,"root_cause_analysis":true,"ml_anomaly_detection":true,"incident_management_workflow":true}` |
| integrations.count | 2 | 2 |
| integrations.list | `[{"name":"Pandas Profiling"},{"name":"Slack"}]` | `[{"name":"Slack"},{"name":"Git"}]` |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US","EU","GB"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Developer","summary":"Free tier","contactSales":false},{"free":false,"name":"Team","contactSales":false},{"free":false,"name":"Enterprise","contactSales":true}],"summary":"Free Developer tier; Team and Enterprise plans available","freeTier":true,"sourceUrl":"https://www.greatexpectations.io/pricing-landing/","retrievedAt":"2026-08-20T08:21:17.227Z"}` | - |
| pricing.free_tier | yes | - |
| pricing.model | freemium | - |
| pricing.price_level | low | - |
| pricing.transparent | no | - |
| security.gdpr | yes | - |

## Capabilities (Data Observability)

| Capability | Great Expectations | Soda |
|---|:--:|:--:|
| **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 | - | Self hosted |
| Open source | - | - |
| Pricing model | - | - |

*Source: Vioscale. Generated 2026-09-01T14:32:22.492Z. "-" = undocumented, not absent.*