Turn your metadata and business logic into automated, always-on tests — Catch issues early, cut QA cycles, and ship trusted data faster.
Rule Extraction From Metadata
Automatically parse schema definitions, constraints, dbt models, and ETL metadata to generate validation logic.
Business Logic Test Generation
Convert business rules (e.g. “Net Premium = Gross – Discount”) into assertion tests across migrated data.
Continuous Validation Across Pipelines
Integrate into Airflow, dbt, CI/CD tools — so tests run continuously as data moves or changes.
Anomaly Detection & Learning
When issues are found, the system suggests additional tests and edge cases based on patterns.
Why Datachecks Is Better Than Manual QA?
From Manual Spot Checks to Autonomous QA at Scale
Feature / Platform
Datachecks AI Test Automation
Manual QA
Test Coverage
100% row-level & rule-based
Limited, sample-based
Effort Required
Zero (agent-generated)
High (SQL, Excel)
Speed
Real-time / Continuous
Slow, hours/days
Maintenance
Self-healing, metadata-aware
Brittle, breaks often
What Datachecks Can
Validate Every Critical Data Logic
From schema to business rules, joins to reconciliations — Datachecks ensures every transformation, rule, and data flow is tested, traceable, and migration-ready.
Field-Level Transformations
Verify every transformation and field mapping stays correct after migration.
Logic & Aggregations
Test joins, unions, and group-bys to ensure business logic translates perfectly.
Critical Business Rules
Validate financial formulas and operational logic with automated assertions.
Schema Stability
Detect schema drift early and prevent breakages downstream.
Record-by-Record Match
Run row-level reconciliation with clear, explainable differences.
End-to-End Lineage Check
Ensure source-to-target completeness with lineage-aware validations.
Reduce QA Effort
Deliver Audit-Ready Proof
Catch Breakages Early
How It Works
From Metadata to Meaningful Tests. Instantly.
Ingest
Connect to your source and target systems — pull in schemas, business rules, and transformation logic automatically.
Ingest
Generate
Create intelligent, context-aware validation plans in minutes — no manual scripting needed.
Auto Generate
Run
Seamlessly execute tests during pipeline runs or dry runs, catching issues before they escalate.
Run
Report
Get clear, explainable reports with root cause insights and full traceability — ready for internal teams and client reviews.
Report
Proven Impact
Real Results From Real Teams
More coverage, faster sign-offs, and audit-ready compliance—proven across high-stakes migration programs.
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Lightning Fast Coverage
Tests auto-generated in under 30 minutes
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Silent Bugs, Caught Early
Caught 4 silent transformation bugs pre-cutover
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Massive QA Time Savings
Reduced QA effort by 85% for a multi-country data lake migration
Ideal For
Built for Real-World Migrations
Whether lift-and-shift or phased cutovers—validate faster, de-risk production, and win stakeholder trust.
Cloud Migration
Teams migrating to Snowflake, BigQuery, Databricks
Data Modernization
Enterprises modernizing from legacy ETL tools
SIs
SI teams needing scalable QA for large engagements
Audit-Purposes
Audit-heavy environments requiring evidence of validation
AI Test Automation
Focus on Migration. Let AI handle the QA
Move faster and safer with full test coverage, zero manual effort and real time validation.