Migrate your data, not your data quality issues
Automate reconciliation and validation to ensure complete, trusted data during migrations.
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Verify source and target match during and after migration
Run reconciliation checks on row counts, values, and records. Detect duplicates, missing data, or schema mapping errors before production cutover.
Automate validation across every stage
Integrate reconciliation and validation checks directly into CI/CD workflows and data pipelines to automate quality assurance throughout the migration lifecycle.
Prevent quality issues from migrating forward
Profile your source data to identify issues early. Establish baseline checks so only clean, validated data moves to your new platform.
Why data teams choose Soda to support their data migrations
Soda's data reconciliation, quality testing, and monitoring capabilities ensure data trust at each stage of your migration: from initial planning through production deployment.
Reconcile source and target datasets
During migration, detect issues such as duplicate runs, missing batches, or incomplete transfers.Optimize compute: start with aggregate-level checks (row counts, sums, averages), then apply targeted row-level validation (missing records, value mismatches, duplicates) for high-priority datasets.
Stop migration failures before production
Integrate Soda's pipeline testing directly into your ETL and CI/CD workflows with native support for Airflow, Dagster, Prefect, and dbt. Every migration batch runs through automated reconciliation checks.
Ensure new and legacy systems agree on data quality standards
Define data contracts between source and target systems.Use Soda's data contracts to formalize expectations for row counts, column values, and key business metrics. During parallel runs, validate that both environments meet shared standards.
Detect reconciliation failures the moment they happen
When reconciliation checks fail or data patterns deviate from expected norms, your team receives instant alerts to investigate and address root causes.
