Episode Details

This story was originally published on HackerNoon at: https://hackernoon.com/its-2026-just-use-postgres.
Why modern teams are consolidating Elasticsearch, Redis, Pinecone, Kafka, and MongoDB into Postgres using extensions built for the AI era.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #postgresql-database, #pgvector-vs-pinecone, #timescaledb-vs-influxdb, #postgresql-ai-infrastructure, #replacing-redis-with-postgres, #postgres-full-text-search-bm25, #single-database-architecture, #good-company, and more.

This story was written by: @tigerdata. Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com.

This article argues that most companies overcomplicate their infrastructure by adopting multiple specialized databases before they actually need them. Modern Postgres extensions now replicate many of the same core algorithms behind Elasticsearch, Pinecone, Redis, InfluxDB, MongoDB, and Kafka while dramatically reducing operational complexity. In the AI era, where agents and engineers need fast, forkable test environments, single-database architectures offer major advantages in speed, reliability, onboarding, and debugging. The piece positions Postgres as the practical default for modern engineering teams, with specialized databases reserved only for truly extreme scale or niche workloads.