Agentic QA for Complex Data Migrations

Autonomous QA Agent That Validates Data End-to-End

Automate the most painful, risky part of any migration — with an agent that thinks like a QA engineer and works like a machine.
Features

The most flexible and configurable screening system

Auto-Generate Tests From Metadata

Instantly create schema, row-level, and logic-based tests from your source-target mappings and business rules — no manual setup required.

Intelligent Edge Case Coverage

The agent identifies risky edge cases (nulls, type mismatches, value shifts) and generates synthetic data to test them before cutover.

Deep Row Level Reconciliation

Validate billions of records across source and target systems — and pinpoint exactly where mismatches happen and why.

Continuous Validation Workflows

Trigger validations as part of every ETL run, cutover dry run, or CI/CD event — integrated into Airflow, dbt, or your orchestration tool.
Why It's Different

Not a Script. Not a Rule Engine. A Migration Copilot.

Skip the scripts and static rules. Datachecks plugs into your migration workflow, auto-detects what matters, and validates data before your SLA is on the line.

Context Aware

Uses schema, lineage, and business rules to test what actually matters

Agentic

Acts autonomously — no need to define every test or rule

Self-Healing

Learns from anomalies and suggests new test cases.

Explainable

Every check is documented, traceable, and audit-ready
No-code QA at Scale
Faster Go-Lives, Fewer Rollbacks
SLA-Proof Validation
How It Works

End-to-End QA, Without the Manual Overhead

Connect

Plug into your source and target systems—whether databases, data lakes, or custom queries.
Plug & Play

Extract

Automatically capture schemas, lineage, filters, and business rules used in the migration.
Auto Discovery

Generate & Run

Let the agent generate test cases, validations, and synthetic data—all tailored to your migration context.
Smart Validation

Report & Reconcile

View granular results across PKs, rows, and columns. Drill down to mismatches, export audit-ready reports, and close the loop faster.
Audit-Ready
Proven Impact

Real Results From Real Projects

Accelerate migrations, eliminate manual effort, and scale QA with confidence—backed by real-world data.

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Faster Cutover Time

48% Faster Cutover Time

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Reduced Manual QA Effort

100% Reduced Manual QA Effort

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Highly Scalable

12,000+ tests auto-generated in a single Snowflake migration
Ideal For

Built for Teams Driving Complex Data Change

Validate every migration milestone, reduce QA effort, and deliver data your business can trust.
Roles
Data Engineering Teams, System Integrators, Migration PMOs, Internal Audit / Data Governance
Projects
Snowflake, BigQuery, Databricks migrations, Mainframe or Oracle legacy shutdown, Large-scale ERP/CRM modernization, Data lake replatforming

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Efficiency Boost

Clients report a 90% reduction in manual QA effort and up to 3x faster migration validation cycles after switching to Datachecks.
Agentic QA for Complex Data Migrations

Let the Agent Handle the Hardest Part of Migration

Catch hidden issues early — and migrate with full confidence, no production exposure.
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