Database test data management

A realistic test database is small enough to refresh often, masked well enough to be safe in lower environments, and complete enough that every foreign key still resolves.

What test data management needs here

• Catalog discovery of schemas, tables, columns, primary keys and foreign keys, so relationships are known before anything is copied.
• Least-privilege, read-only access that can be proven from the database itself rather than assumed.
• Entity-aware subsetting that starts from a customer or account and follows keys to every row that belongs to it.
• Deterministic masking of identifiers, so the same customer gets the same pseudonym in every table and every database.

How DataNivra approaches it

• Discovery reads the catalog and reports structure, keys and aggregate profiles — never row values.
• Before reading, the connector proves the credential cannot write, where the engine exposes enough privilege information to do so, and fails closed otherwise.
• The subsetter walks declared relationships with bounded depth, and certification refuses a dataset with orphaned rows.
• Whatever the system, row-level work happens in the DataNivra agent inside your network: only metadata, aggregates and evidence reach DataNivra Cloud.