Postgres Is Probably All You Need (Stop Adding Databases)

Most teams reach for a separate database for search, a queue, a cache, a vector store, and analytics. For a long time, Postgres can do all of it. I make the case for keeping your stack boring, when one database is genuinely enough, and the few times it is not. Not sure what your data actually needs? → https://concepttocloud.com/contact What is in the video: • Why teams over-collect databases • What Postgres quietly does well: JSON, search, queues, vectors, analytics • The real cost of every extra data store you run • When you genuinely do need something else • How to decide, without the hype Chapters 0:00 A lot of teams run four or five databases when one would do 0:36 Why teams over-collect databases 1:46 Resume-driven, hype-driven, cargo-culted 2:28 The database that stuck around 3:03 A pluggable architecture 3:53 JSON, full-text search, queues, pgvector, analytics 4:51 One platform, one maintenance area 5:38 Ops, failure modes, people 6:51 There is a time when you need more 7:30 Use Databricks or Snowflake for what they're for 7:52 Talk it through, no pitch Concept to Cloud builds data systems sized to the problem, not the trend. Ex-NASA engineers, senior-led, fixed price. Book a discovery call → https://concepttocloud.com/contact #postgres #postgresql #database #dataengineering #backend