VALISOLUTION Data Validator
Automate data validation across databases in minutes
VALISOLUTION Data Validator launched on March 31, 2026.
What it does
Automate data quality testing and source-to-target validation across SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake. Create test cases, define validation rules, and compare query results between source and target systems with zero manual effort. Designed for data engineers and QA teams to quickly detect discrepancies, validate pipelines, and ensure data accuracy at scale.
Automate data quality checks, source-to-target validation, and cross-database comparison across SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake.
Automate source-to-target validation, data quality checks, and cross-database comparison across SQL Server, Oracle, MySQL, PostgreSQL, and Snowflake — with full reporting, saved test runs, and execution history. Most teams reconcile source and target data in spreadsheets, running ad-hoc SQL queries and rebuilding the same validation scripts from scratch every sprint. Engineers spend days writing queries to compare source tables with targets — time that should go toward building pipelines. Spreadsheet-based validation doesn’t scale. Copy-paste errors and formula mistakes create false confidence in data quality. Comparing SQL Server to Snowflake requires dialect-specific SQL…from valisolution.com
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