Platform · 1996–now · Cloud Scale
PostgreSQL
The open-source relational default — JSON, extensions, and enough correctness to survive every NoSQL wave.
Postgres stuck because ACID, extensibility, and ops familiarity beat fashion. It absorbed use cases that once required specialists — including embeddings via pgvector. The fad was declaring SQL dead; the residue is still Postgres in production.
Context
Split everything, then pay for the glue
Hyperscale patterns escaped the companies that needed them. Containers unified packaging; Kubernetes became the cloud OS; microservices and NoSQL were sold as defaults. Mobile-first stuck because screens changed. Cargo-cult distributed systems stuck around as invoices. The durable move was packaging and ops maturity — not rewriting every app into a mesh.
Compare with
Related
Platform · 1974–now
SQL / Relational
Declarative data that outlived every ORM fashion cycle. Postgres and friends keep winning by being boring.
Platform · 2009–now
MongoDB
Document DB that became a punchline, then a grown-up product. Survived by getting serious about transactions and ops.
Platform · 2009–now
Redis
Fast structures in memory with persistence options. Cache, queue, session store — pick your footgun.
Platform · 2023–now
Postgres + pgvector
Embeddings back in the database you already run. The default for mid-market RAG — not the quiet alternative.