Validate migration outcomes automatically at scale.

SmartReconcile

Compare source and target data, verify consistency, and produce the evidence needed to sign off on migration cutover.

Run a reconciliation pilot Explore SmartConvert

SmartReconcile validates migration outcomes automatically by comparing source and target data at scale and producing evidence of consistency for cutover.

Positioning

Start your modernization journey with a clean, complete picture of what you already have.

System flow

Full-fidelity extraction for any data system

  • Smart Extract securely collects SQLs, schemas, logs, and metadata from diverse systems, producing reusable packages for migration and analysis.
  • Multi-source Connectivity: Connect to any database engine — on-prem or cloud — through pluggable connectors. Teradata, Oracle, SQL Server, Netezza, DB2, Hive, Snowflake, and more.
  • Object-level SQL Extraction: Automatically extract stored procedures, views, triggers, functions, queries, and DDLs — preserving structure and dependencies.
  • Metadata + Stats Collection: Capture table statistics, storage metrics, and query logs to inform Discover’s complexity scoring and Convert’s optimization
  • Integrity & Verification: Generate manifests with checksums, row counts, and lineage mapping to ensure completeness and auditability.
  • Explore the extraction process

High-level subsystem schematic

Security and governance

  • 🔒 RBAC
  • 🧱 Residency
  • 📜 Auditability

Timeline

  • Days 1–2: Connectivity setup, dry runs, and validation of credentials.
  • Days 3–5: Full metadata and SQL extraction; integrity verification completed.
  • days 6-7: Delivery of standardized bundles; ready for Discover & Convert ingestion.