Discovery
Scans databases, schemas, tables, and columns using read-only `SELECT` access.
Find where personal data lives inside a SQL Server database, and fulfill deletion requests against it directly, managed through the same login and user lifecycle already in place for everything else.
SQL Server runs relational workloads across countless enterprise applications, often with schemas built up over years by different teams. Ketch's approach is to fit into existing SQL Server administration practices rather than requiring a separate, special-case process for privacy access.
Ketch connects to SQL Server through a Ketch Transponder with that fit in mind.
Capabilities
The Ketch SQL Server integration covers Discovery and Rights Orchestration for both Right to Access and Right to Delete.
Scans databases, schemas, tables, and columns using read-only `SELECT` access.
Requires `UPDATE` and `DELETE` access granted on top of that, scoped to the specific database, tables, and columns granted.
With Ketch, teams can
The gap
An enterprise SQL Server instance built up over years of application development still needs personal data actually located and reachable:
Why Ketch
Permissioning infrastructure that governs Microsoft SQL Server the same way it governs every other system in your stack — not a one-off connector bolted onto a banner.
The Ketch login and user follow the organization's normal lifecycle practices rather than a special-case process.
Discovery requires only `SELECT`; rights execution is a separate, explicit grant.
Regulators increasingly expect businesses to prove technical enforcement, not just describe it on paper, the same underlying expectation that applies to knowing what personal data a database holds.
Related reading
Integrations
Ketch ships connectors and SDKs so consent, rights, and policy flow into your CDPs, warehouses, ad platforms, and AI stack — without a custom data pipeline.
Book a demo to walk through rights, consent, and preference orchestration on your stack — or start free and connect Microsoft SQL Server yourself.
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