Postgres vs Redis, Mongo, and RabbitMQ: When to Actually Consolidate

You're running Postgres, Redis, Mongo, and RabbitMQ. That's four systems to monitor, patch, and keep in sync. Postgres already ships with JSONB, LISTEN/NOTIFY, and SKIP LOCKED—so when does consolidating actually make sense, and when are you just building a new bottleneck? This video walks through a decision framework for replacing specialized systems with native Postgres features. You'll learn when UNLOGGED tables can replace Redis caching, how SKIP LOCKED enables job queues without RabbitMQ, and the specific thresholds where Postgres starts to struggle. We cover throughput limits, latency budgets, team size, and transactional consistency trade-offs. Built for engineers managing multi-database stacks who want to cut operational overhead without sacrificing performance. If you're weighing whether to consolidate or keep systems separate, this gives you the concrete numbers and patterns to make that call. Chapters: 0:00 Intro 0:32 The Consolidation Case 1:58 Replacing Redis with Postgres 4:07 Replacing RabbitMQ with Postgres 6:27 Replacing MongoDB with Postgres 8:34 The Decision Framework 10:50 Get a free health report Free weekly PostgreSQL health report → https://mydba.dev?utm_source=youtube&utm_m... #postgresql #redis #databases #backend