VALISOLUTION Data Validator
Automate data validation across databases in minutes
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.
Does the same job
all alternatives →- ABA benchmark for analytical databases (Snowflake, Druid, Redshift)2022 · benchmark.clickhouse.com · ▲137
I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…
- SDSqlsure – deterministic semantic checks for AI-generated SQLJul 2026 · github.com · ▲43
- DDData Diff – compare tables of any size across databases2022 · ▲127
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…
- VAValidater – a python tool to validate data by schema2016 · github.com · ▲5
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Hi HN — we've built a testing framework for Supabase that spins up fast, isolated Postgres databases for each test case. It’s designed to make RLS policies easy to validate with real database state, without global test fixtures or mock auth. Features: - Instant isolated Postgres DBs per test - Automatic rollback after each test - RLS-native testing with `.setContext()` for auth simulation - Flexible seeding (SQL, CSV, JSON, JS) - Works with Jest, Mocha, and any async test runner - CI-friendly (runs cleanly in GitHub Actions) We also published example projects and a free set of tutorials:…
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