EcoSQL
Safer database changes and a clearer view of cloud spending.
The problem
Moving a live database carries risk. Teams need to know that records match, applications still work, and the new infrastructure is worth its cost.
What we built
EcoSQL offers database migration, data-diff validation, warehouse analysis, and cloud-cost services that can be used individually.
Our approach to EcoSQL.
Understand the starting point
Inspect the current data, dependencies, and cost profile before a change.
Validate the move
Compare data across systems so a migration can be checked before the old path is retired.
Keep measuring
Review cost and performance after the change to catch new inefficiencies.
Inside EcoSQL: esrouter
esrouter analyzes dbt model dependencies and observed runtimes. It finds work with enough slack to run on cheaper compute without extending the pipeline's total run time. It reports uncertainty when the measurements are incomplete; it does not invent a savings estimate.
The work behind it.
Database migration and cloud-cost reduction: data-diff validation, warehouse right-sizing, MCP integration, and legacy-to-cloud migrations. Services are sold individually.