Chris van Eijk: PostgreSQL row-level security for SaaS: what we measured

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Derived & scientifically synthesized from Planet PostgreSQL.
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Key Architectural Takeaway

Row-level security for a multi-tenant SaaS on PostgreSQL 17, result by result: what leaks, what it costs, how to set the tenant, and where each test is..

Executive Summary

Row-level security for a multi-tenant SaaS on PostgreSQL 17, result by result: what leaks, what it costs, how to set the tenant, and where each test is.

Database Engine & Storage Subsystem Architecture

From an OLTP/OLAP systems architecture, storage tiering, and data durability perspective: - **Zero-Vendor Lock-in Formats:** Leveraging open specifications (e.g. Parquet, Iceberg) ensures multi-engine interoperability without ingestion lock-in. - **Vector & In-Memory Throughput:** Modern memory layouts and SIMD-accelerated execution pipelines minimize latency in real-time retrieval. - **Distributed Resiliency:** Decoupled storage and compute layers enable elastic horizontal scaling with strict ACID guarantees.

Impact on the Open Ecosystem

Empowers data engineers with open, self-hosted alternatives to monopolistic cloud database providers.