Automated Data Quality Without the YAML
Soda is powerful—but requires significant configuration. Sparvi gives you ML-powered data observability that works out of the box. No YAML files, no CLI setup.
The Soda Trade-off
Soda Core is a capable open-source tool with strong CI/CD integration. But it comes with significant setup and maintenance overhead that small teams often struggle to manage.
Two Different Philosophies
Soda Approach
Code-first, configuration-driven data quality. Define checks using SodaCL (Soda Cloud offers a UI as well).
# checks/orders.yml
checks for orders:
- row_count > 0
- missing_count(customer_id) = 0
- invalid_percent(amount) < 5%:
valid min: 0
- freshness(created_at) < 24hYou control everything, but you must configure everything.
Sparvi Approach
Automated ML-powered observability. Connect your warehouse and Sparvi learns what's normal automatically.
ML learns baselines automatically. Add custom rules when needed.
Why Teams Consider Sparvi
Zero Configuration Start
Connect your Snowflake warehouse and start seeing insights immediately. No YAML files to write, no CLI to install, no thresholds to configure. ML learns what's normal automatically.
Automatic Schema Monitoring
Sparvi automatically detects column additions, removals, type changes, and more—alerting you as changes happen without additional configuration.
Built-in Issue Management
When data issues are detected, Sparvi creates trackable issues automatically. Assign to team members, discuss in context, and track resolution—all in one place.
Less Maintenance Overhead
No YAML files to version control and maintain. No CLI environments to manage. Sparvi is a SaaS platform that handles infrastructure so you can focus on data.
Sparvi vs Soda Comparison
A detailed look at capabilities and trade-offs.
| Feature | Sparvi | Soda |
|---|---|---|
| Starting Price | Free during design partner phase | Free (open-source) / Soda Cloud (contact sales) |
| Target Team Size | 3-15 people | Any size |
| Setup Complexity | Low (SaaS, connect in 15 min) | Varies (CLI setup for OSS, simpler for Cloud) |
| Anomaly Detection | Yes (ML-powered, automatic) | Yes (configuration required) |
| Schema Monitoring | Yes (automatic) | Via SodaCL checks |
| Custom Validation Rules | Yes (SQL-based) | Yes (SodaCL YAML) |
| Data Profiling | Yes (automatic) | ✓ |
| Issue Management | Built-in | Via integrations |
| Slack Integration | ✓ | ✓ |
| Data Lineage | ✓ | Via integrations |
| Snowflake Support | ✓ | ✓ |
| BigQuery Support | Coming Q4 2025 | ✓ |
| CI/CD Integration | API available | Yes (native) |
| Self-hosted Option | No (SaaS only) | Yes (open-source) |
Choose Sparvi If:
- ✓You want automated monitoring without configuration
- ✓Your team prefers SaaS over self-managed tools
- ✓You want ML-powered anomaly detection out of the box
- ✓Built-in issue management is important
- ✓You use Snowflake as your primary warehouse
Consider Soda If:
- •You need deep CI/CD pipeline integration
- •You prefer code-first, version-controlled configs
- •You need a self-hosted open-source solution
- •Your team is comfortable with YAML and CLI
- •You need BigQuery or Redshift today
Ready for Easier Data Observability?
Skip the YAML configuration. Get ML-powered data observability that works in 15 minutes.
Apply for Design Partner Program