AI-Enabled Data Validation & Reconciliation
Pelicans are famous for their pinpoint focus, locking onto their prey with unmatched precision. The Pelican tool mirrors this by using AI to spot every data inconsistency with near-zero error rates. It helps you avoid costly data migration errors by stopping manual, error-prone checks and provides simple, automated data quality assurance.
Faster onboarding, fluid UI, and seamless navigation. Experience lightning-fast page loads, APIs for agents, and automated test creation, accelerated data issue triaging ability using lineage, boosting speed by up to 80%.
Stay in control with:
With AI data validation, monitor six key dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness. Define custom rules, map to columns, and drill down to spot and fix bad data fast.
Modernize with confidence, reduce risk,
contain cost, and maintain continuity.
Accelerate releases by removing manual validation from the critical path.
Validate massive datasets with zero-
code & AI data validation, focus on
building, not testing.
Stay audit-ready with full traceability, no data movement, and zero blind spots.
Modernize with confidence, reduce risk,contain cost, and maintain continuity.
Accelerate releases by removing manual validation from the critical path.
Validate massive datasets with zero-
code, focus on building, not testing.
Stay audit-ready with full traceability, no data movement, and zero blind spots.
Validate across cloud and on-prem without moving data, no security risks, ingress costs, or duplication with AI data validation.
AI data validation engine detects mismatches across formats and schemas with one-pass validation and full error tracing.
Build complex validation workflows visually, auto-generate test cases, reuse rules, and apply SQL expressions.
Monitor status, spot discrepancies, and export audit-ready reports with real-time dashboards.
Run fast, parallel automated validations with smart scheduling, DevOps readiness, and resilient architecture.
Pelican is an enterprise automated data validation tool built for complex data migration and modernization programs. It enables organizations to validate millions of records across platforms with high accuracy and minimal manual effort.
Pelican improves validation by enabling parallel comparisons, secure read-only validation, and faster issue identification. This allows data teams to validate full datasets rather than relying on sample-based testing, which is common with traditional data validation tools.
Data architects and platform leaders choose Pelican because traditional data migration validation tools often rely on scripts, sampling, and manual effort. Pelican introduces automation and AI-driven validation that improves confidence in migration outcomes.
Key reasons enterprises adopt Pelican include:
This makes Pelican a strategic solution for large modernization initiatives.
AI data validation uses intelligent comparison techniques to detect discrepancies, anomalies, and structural differences across datasets. It goes beyond rule-based checks by validating data at a granular level across large volumes.
Pelican applies AI data validation to perform cell-level comparisons across systems, helping enterprises identify mismatches faster and accelerate issue triaging during data migration and modernization programs.
No. Pelican is designed as a secure data validation tool that performs read-only comparisons. It does not move or modify production data during validation.
This architecture is important for enterprises handling sensitive or regulated data because it enables automated data validation without impacting business operations or compliance requirements.
When selecting data migration validation tools, enterprises should evaluate scalability, accuracy, security, and integration capabilities. The solution must validate large datasets across different platforms without creating additional risk.
Strong data validation tools should support cross-platform comparisons, enterprise reporting, CI/CD integration, and the ability to validate sensitive datasets securely during modernization initiatives.
Pelican integrates into modern data pipelines and DevOps workflows to enable continuous validation. As an automated data validation tool, it can be used throughout migration and release cycles to ensure data accuracy at every stage.
Pelican supports:
This helps organizations maintain data integrity across ongoing platform changes.
