Question 1

Is Neomir just a UI on top of similar functionality?

Accepted Answer

Neomir is built from the ground up with different design principles. While Soda is code-first (write YAML, run in CI/CD), Neomir is designed for continuous monitoring with AI-powered rule creation. The underlying architecture supports real-time monitoring, cross-system joins, and business user collaboration that's hard to achieve with a code-first approach.

Question 2

Can data engineers use Neomir programmatically?

Accepted Answer

Yes, Neomir has a full API and can be integrated into CI/CD pipelines, orchestrators like Airflow, and transformation tools like dbt. You get the best of both worlds: a great UI for collaboration and full programmatic access for automation.

Question 3

We use dbt. How does Neomir compare to Soda for dbt users?

Accepted Answer

Both integrate with dbt. Soda has tight native integration via soda-core-dbt. Neomir can monitor dbt model outputs and be triggered as part of dbt workflows. The key difference is that Neomir also provides a business-friendly interface for non-dbt quality checks and cross-system validation.

Question 4

Can you import our existing rules from Soda?

Accepted Answer

We can help you migrate your existing data quality rules. Our team will work with you to understand your current setup and recreate or improve upon your rules in Neomir.

Question 5

What support do you provide during migration?

Accepted Answer

We provide dedicated onboarding support including: rule migration assistance, integration setup, training for your team, and a dedicated success manager for the first 90 days.

Question 6

How does pricing compare to Soda?

Accepted Answer

Neomir offers transparent, usage-based pricing that's typically 40-60% less than traditional enterprise data quality tools. Contact us for a detailed comparison based on your specific usage.

Feature	Neomir	Soda
Data Quality Monitoring	UI + API	Code-first (SodaCL)
Cross-System Validation	Visual configuration	YAML configuration
AI/ML Capabilities	Rule generation, anomaly detection	Anomaly detection
Implementation Time	1-2 weeks	1-4 weeks
Target User	Data teams & business users	Data engineers
Configuration Approach	UI-first with code option	Code-first (YAML)
Pricing Model	Usage-based	Usage-based + enterprise
CI/CD Integration	API & webhooks	Native CI/CD focus
Business User Access	Full UI access	Soda Cloud dashboards

Neomir vs Soda

Feature Comparison

Migration & Coexistence FAQ