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Sync alone is not enough. Zwiron covers the rest of the cycle: know what landed and catch bad data early.

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Catalog

After connection profiling and syncs, Zwiron inventories schemas, tables, and columns in the Data Catalog:
  • Searchable inventory with types, nullability, and sizes
  • Tags and glossary terms for shared vocabulary (Governance)
  • Always tied to the connections you already sync

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Data quality

Attach Data Quality rules to tables or columns:
  • Null / uniqueness / range / freshness checks
  • Custom SQL assertions
  • Alerts when rules fail after a run
For deeper audits, use Pipeline Validation to compare source vs destination beyond row counts.

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Typical workflow

  1. Create connections and a pipeline (quickstart)
  2. Run sync (ETL pipelines)
  3. Open Catalog to confirm tables appear
  4. Add quality rules on critical columns
  5. Monitor failures via notifications
Last modified on July 13, 2026