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Performance of Faker on large databases during obfuscation

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Audience member says they previously tried Faker-based obfuscation by hand and found per-row generation painfully slow on large databases. Sergyenko acknowledges the problem and explains Grazer's mitigation: generate the obfuscated dataset once, then keep it consistent via a delta-tracking job that only updates new/changed rows rather than regenerating everything on every run.

answer_summary
Grazer generates obfuscated data once and maintains it via a delta-tracking job that only applies inserts/updates for new or changed real records.
question Performance of Faker on large databases during obfuscation
about
Faker tool
About Faker performance when obfuscating large tables.
question Performance of Faker on large databases during obfuscation
about
Grazer project
Grazer's delta-tracking job is the proposed mitigation.
question Performance of Faker on large databases during obfuscation
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