Integrations
.svg)
Core Capabilities of the Validation Agent
Automate every layer of migration validation — from schema and data reconciliation to AI-generated quality rules and audit-ready reports.
Schema Reconciliation
Eliminate schema drift before cutover.
Automated Reports
Deliver fully traceable, audit-ready results.
.svg)
Data Quality Rules
Catch data issues beyond simple mismatches.
.svg)
Semantic Test Generation
Reduce manual QA scripting by 70%
Data Reconciliation
Ensure every record and metric is consistent.
Synthetic Data Validation
Validate safely without exposing real data.
From Weeks of QA to Hours of Automated Validation
Automate reconciliation, enforce data rules, and certify accuracy before every cutover.
Process
Manual SQL scripts and spot checks.
Automated reconciliation with continuous validation loops.
Coverage
Partial — only critical tables validated.
95%+ data, schema, and rule coverage.
Data Quality Rules
Handwritten and inconsistent across teams.
AI-generated, reusable, and centrally managed.
Speed & Accuracy
Weeks of manual QA, prone to human error.
Hours with deterministic, explainable results.
%201.svg){kind=small}
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
.svg)
Extract
Automatically capture schemas, lineage, filters, and business rules used in the migration.
Auto Discovery
.svg)
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
.svg)
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
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
5
3
8
9
5
7
4
6
2
9
0
2
4
3
4
6
7
2
3
4
%
Efficiency Boost
Clients report a 90% reduction in manual QA effort and up to 3x faster migration validation cycles after switching to Datachecks.
Enterprise-Grade Trust.
Deployed in your environment, aligned to SOC 2 and ISO, and engineered with complete auditability and data privacy at its core.
Deployed to your infrastructure, so no data leaves your network
Datachecks has undergone SOC 2 Type II attestation and undergoes annual audits.
Infrastructure that meets ISO standards.
Every user action is audit trailed.
.svg){kind=icon}
Your questions, our answer
What does the Validation Agent actually validate?
It verifies schema, data, and business rule consistency between source and target systems. It compares tables, constraints, row counts, and data values — highlighting mismatches automatically.
How is this different from manual QA or reconciliation scripts?
Manual QA checks only a subset of data. The Validation Agent performs full automated reconciliation with explainable tests and continuous validation loops, delivering near 100% coverage.
Can it work with existing testing frameworks like dbt or Great Expectations?
Yes. Validation tests can be exported to or triggered from dbt, Great Expectations, or any CI/CD testing pipeline, extending your existing QA process.
How do we ensure compliance and audit readiness?
Every validation run generates auditable reports, coverage metrics, and confidence scores, making it easy to pass internal and external audits.
Can we validate without exposing real data?
Yes. The platform uses synthetic or masked data to perform validation safely — ensuring no PII or sensitive information is ever exposed outside your controlled environment.
How does the Validation Agent scale for large migrations?
It scales horizontally to reconcile millions of records across hundreds of tables, ensuring full data confidence even in complex, multi-terabyte migrations.
© 2025 Datachecks. All rights reserved.
