Probably the only one. I’d say most projects can be easily managed with PostgreSQL. Today, cloud-based instances can handle massive loads without much complexity, and PostgreSQL is ACID-compliant, which is a big advantage.
@@jfbaro2 Personally I had a case where Postgres wasn't handling well big amount of time-series data (mentions of keywords in blog posts) for our analytics dashboard. We migrated to TimescaleDB (which is basically a managed postgres with extensions) which improved the situation, but still not perfect under load
horizontal scalability is the reason to use mongo
Probably the only one. I’d say most projects can be easily managed with PostgreSQL. Today, cloud-based instances can handle massive loads without much complexity, and PostgreSQL is ACID-compliant, which is a big advantage.
@@jfbaro2 Personally I had a case where Postgres wasn't handling well big amount of time-series data (mentions of keywords in blog posts) for our analytics dashboard. We migrated to TimescaleDB (which is basically a managed postgres with extensions) which improved the situation, but still not perfect under load