Automate Domo to Snowflake/Databricks Migrations

Problem Context

Business intelligence teams need to move dashboards and reports from Domo to Snowflake or Databricks to reduce costs or improve performance. This requires manually recreating each visualization, rewriting queries, and ensuring data accuracy—all while keeping clients happy and avoiding downtime.

Pain Points

Teams waste 20+ hours per migration copying dashboards, fixing broken queries, and validating data. They rely on expensive consultants or reinvent the wheel each time, leading to errors and delays. Existing tools either don’t support Domo or require deep technical expertise to set up.

Impact

Failed migrations risk losing clients, missing deadlines, and wasting thousands in consultant fees. Teams also face frustration from repetitive work and the stress of manual errors slipping through. The longer the migration takes, the more revenue opportunities slip away.

Urgency

Clients demand faster, cheaper migrations, and internal deadlines don’t wait. Teams can’t afford to keep paying consultants for the same tedious work. Without a better way, every migration becomes a high-stakes gamble on time and accuracy.

Target Audience

Data analysts, BI engineers, and migration consultants who handle transitions between BI tools for enterprise clients. These users work in industries like finance, healthcare, and retail where data accuracy and uptime are critical. They’re also found in IT departments of mid-to-large companies.

Solution Approach

A SaaS tool that automatically maps Domo objects (dashboards, datasets, SQL queries) to Snowflake or Databricks equivalents, generates migration-ready scripts, and validates data integrity. It also monitors migrated dashboards for errors or data drift, ensuring long-term reliability without manual checks.

Key Features

1. Script Generation: Creates SQL, YAML, or Terraform scripts to recreate dashboards/reports in the new platform.
2. Data Validation: Checks for schema compatibility, query accuracy, and broken dependencies before migration.
3. Post-Migration Monitoring: Alerts users to data drift, broken visualizations, or other issues after the migration is complete.

User Experience

Users upload their Domo metadata (e.g., via CSV or API), select their target platform (Snowflake/Databricks), and receive a migration-ready template in minutes. They review the generated scripts, run the migration, and get alerts if anything goes wrong. No coding or deep technical knowledge is required—just upload, validate, and deploy.

Differentiation

Unlike generic ETL tools or consultant services, this tool is built specifically for Domo-to-Snowflake/Databricks migrations, with pre-built mappings and validation rules. It’s faster and cheaper than hiring consultants, and more reliable than manual work. The post-migration monitoring ensures long-term accuracy, which no other tool in this niche offers.

Scalability

The tool scales with the user’s needs: more seats = more migrations handled, and add-ons like advanced validation or API integrations can be purchased as the team grows. Enterprises can also use it for internal migrations across multiple clients, increasing its value over time.

Expected Impact

Teams save 20+ hours per migration, reduce errors, and deliver faster results to clients. Businesses avoid costly consultant fees and downtime, while IT departments gain a repeatable process for future migrations. The post-migration monitoring ensures dashboards stay accurate, reducing long-term maintenance headaches.