Migrate™

Automatically scan and catalogue every data source — on-premise databases, cloud warehouses, flat files, and APIs — using AI-driven profiling. Understand schema structures, data volumes, relationships, and quality baselines before a single byte moves, eliminating guesswork from day one.

AI-generated field-level mappings between source and target schemas, with confidence scores and human-review workflows for edge cases. Semantic matching handles name changes, type mismatches, and structural differences so your team focuses on exceptions rather than repetitive manual mapping.

Apply business rules, cleansing logic, and format conversions at scale without hand-written ETL scripts. A library of pre-built transformations — deduplication, normalisation, currency conversion, date reformatting — accelerates delivery while a code-free interface keeps transformations auditable and maintainable.

Orchestrate the end-to-end migration across phases — extract, transform, load, verify — with configurable scheduling, dependency management, and rollback checkpoints. Real-time progress dashboards give stakeholders full visibility while automated alerting surfaces issues before they become blockers.

Enforce data quality rules at every stage of the pipeline with automated profiling, completeness checks, and anomaly detection. Configurable quality gates can pause or route records for remediation, ensuring only clean, compliant data reaches the target environment.

Row-level and aggregate reconciliation between source and target confirms data integrity post-migration. Automated diff reports, hash-based record matching, and business-rule assertions give auditors and business owners the evidence they need to sign off with confidence.