Think about how much energy your web app wastes if you ditch SQL. I'm talking real carbon costs here. Every time you query a NoSQL store or a graph database without proper structure, you're burning CPU cycles on data that could be retrieved in milliseconds with a well-indexed SQL join. Postgres LISTEN/NOTIFY isn't some hack—it's proof that relational databases scale just fine for real-time features without the bloat. Modern web apps need consistency and reliability, and SQL gives you ACID transactions that prevent data corruption. Sure, alternative databases have their niches, but for 90%

Look, I get that NoSQL databases can scale horizontally and handle unstructured data. That's fine for certain use cases. But here's the thing—most modern web apps aren't running at Twitter's scale. They're running CRUD operations, user authentication, inventory management. For that, SQL isn't just good enough—it's actually better. You're wasting energy spinning up extra nodes just to avoid writing a JOIN. I've seen teams swap Postgres for Mongo and end up with slower queries and more server costs. Plus, ACID transactions prevent data corruption that leads to costly debugging later. That's not just convenience—it's sustainability. When your app corrupts user data, you waste hours fixing it, burning more electricity. SQL keeps your

Picture a small e-commerce site using a document store for product inventory. They've got duplicate entries, inconsistent prices, and every time they run a report, it's a messy aggregation that chews through CPU. That wasted computation has a real carbon footprint. SQL's structured joins and ACID guarantees mean less data cleanup, less redundant processing. For the vast majority of web apps, you're not gaining flexibility—you're just shifting the complexity into your application code and burning more energy in the process. Postgres LISTEN/NOTIFY shows you can have real-time features without abandoning relational integrity. I'm all for using