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B2B SAAS & DATA PLATFORMS · REFERENCE ARCHITECTURE

Multi-Tenant SaaS Analytics Platform

How architecting PostgreSQL Row-Level Security, TimescaleDB hyper-tables, and Redis edge caching delivered sub-80ms median dashboard latency for enterprise clients.

Engagement ProfilePrism Metrics Group (Reference Architecture)
Timeline12 Weeks to MVP Launch
Core TechNext.js · TypeScript · TimescaleDB · Redis · GCP
Multi-Tenant SaaS Analytics Platform Screenshot

The Operational Challenge

Prism Metrics Group needed to launch a B2B analytics platform for enterprise retail customers. Enterprise procurement demanded strict cryptographic data separation between competing brands, custom subdomains, and the ability to query billions of transactional event rows without degrading dashboard responsiveness.

The Engineered Solution

We architected a modern multi-tenant cloud application:

  1. PostgreSQL Row-Level Security (RLS): Cryptographically guarantees tenant data isolation at the database engine level, avoiding the operational overhead of running hundreds of separate databases.
  2. TimescaleDB Hyper-Tables: Automated partition chunking for multi-million-row time-series metrics ensures continuous aggregations run in milliseconds.
  3. Edge API Caching with Redis: Pre-warmed cache invalidation guarantees enterprise executive dashboards load in under 80 milliseconds globally.

Measurable Outcomes

<80ms Median Latency

Lightning-fast query execution across 50,000+ concurrent enterprise queries.

100% Tenant Isolation

Passed enterprise third-party penetration and data isolation audits without findings.

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