When building a SaaS application that serves multiple customers and must ensure strict data isolation.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: Databases & Data Engineering - Use case: Untitled Prompt - Source task: - Multi-Tenant Database Design - Act as a multi-tenancy architect. Design a multi-tenant database strategy for a SaaS application with {{expected_number_of_tenants}} tenants and {{data_sensitivity_level}}. Compare and recommend between: - 1. database per tenant - 2. schema per tenant - 3. row-level tenant ID. For the recommended approach: schema design, row-level security implementation (if applicable), query design to prevent data leakage, backup and restore considerations, and how to migrate a tenant to an isolated database if they require it # Goal Multi-tenancy strategy comparison, recommended approach with schema design, data isolation implementation, and tenant migration path. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Multi-tenancy strategy comparison, recommended approach with schema design, data isolation implementation, and tenant migration path.
{{double-curly}} with your real context.When building a SaaS application that serves multiple customers and must ensure strict data isolation.
Start with schema-per-tenant for early-stage SaaS — it's easier to isolate than row-level and cheaper than database-per-tenant until you have thousands of tenants.
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