You've heard the advice: "Use the right tool for the right job." Sounds reasonable. Even wise. So you followed it. You picked Redis for caching, Elasticsearch for search, Kafka for messaging, MongoDB for documents, Pinecone for vectors, InfluxDB for time-series, and Postgres for... well, the relational stuff.
Congratulations. You now have 7 databases to maintain, 7 backup strategies to manage, 7 monitoring dashboards to watch, 7 security audits to run, and 7 monsters that can break at 3 AM.
The thing nobody talks about, cause it doesn't sell: that advice "the right tool for the right job" is the battle cry of every vendor's marketing department.
The uncomfortable truth is that PostgreSQL is not "just a relational database." It hasn't been for over a decade. It's a data platform that does what most of these specialized tools do, using the same algorithms, with a single connection string, a single backup strategy, and a single place to debug when everything breaks at 3 AM.
Not "close enough." Not "good enough at small scale." The same algorithms.
You've heard the advice: "Use the right tool for the right job." Sounds reasonable. Even wise. So you followed it. You picked Redis for caching, Elasticsearch for search, Kafka for messaging, MongoDB for documents, Pinecone for vectors, InfluxDB for time-series, and Postgres for... well, the relational stuff. Congratulations. You now have 7 databases to maintain, 7 backup strategies to manage, 7 monitoring dashboards to watch, 7 security audits to run, and 7 monsters that can break at 3 AM.
The thing nobody talks about, cause it doesn't sell: that advice "the right tool for the right job" is the battle cry of every vendor's marketing department.
The uncomfortable truth is that PostgreSQL is not "just a relational database." It hasn't been for over a decade. It's a data platform that does what most of these specialized tools do, using the same algorithms, with a single connection string, a single backup strategy, and a single place to debug when everything breaks at 3 AM.
Not "close enough." Not "good enough at small scale." The same algorithms.
All these buzzwords, unless we're talking about truly unbelievable scale, are achievable with just Postgres.Let me show you. Actually, no... simulate it and see for yourself.
I'm sold!
But, what about...