Stop Using Firebase for Everything: The PostgreSQL Shift

The Firebase Honeymoon Is Over

Every developer knows the feeling. You spin up a new project, plug in Firebase, and everything feels like magic. Authentication in minutes. Real-time data syncing out of the box. Zero server management. But fast-forward six months — your app has scaled, your data is deeply relational, and you are suddenly paying a premium just to run queries that a SQL database handles natively. You have hit what many developers now call 'the NoSQL wall.'

A growing wave of developers is abandoning Firebase and Firestore in favor of PostgreSQL-powered backends, with Supabase emerging as the leading open-source alternative. The shift signals a broader rethinking of how modern applications should handle data.

The Problem With Firebase at Scale

The biggest trap modern developers fall into is treating a NoSQL document store like Firebase or Firestore as the universal solution for every application. For simple apps — chat tools, basic CRUD interfaces, MVPs — Firebase remains excellent. But the moment your data model becomes relational, things start to break down.

Firestore forces developers into denormalized data structures. That means duplicating data across collections, writing complex cloud functions to keep everything in sync, and accepting that joins simply do not exist. Need to query users who placed orders in the last 30 days for products in a specific category? In SQL, that is a single statement. In Firestore, it is a nightmare of nested reads and client-side filtering.

Cost is another growing concern. Firebase charges per document read, write, and delete. Developers report that costs can spike unpredictably as usage grows. One widely shared developer account described a side project racking up a $30,000 bill in a single month due to runaway reads — a scenario that is nearly impossible with a traditional PostgreSQL setup on predictable infrastructure pricing.

Why PostgreSQL (and Supabase) Is Winning

PostgreSQL has quietly become the most popular database in the world among developers, according to Stack Overflow's 2024 Developer Survey. Its combination of reliability, extensibility, and powerful querying makes it the natural choice for applications that outgrow document stores.

Supabase, often described as 'the open-source Firebase alternative,' has capitalized on this trend. Founded in 2020, the company has raised over $116 million in funding and now serves more than 1 million developers. It provides a full backend platform — authentication, real-time subscriptions, edge functions, and file storage — all built on top of PostgreSQL rather than a proprietary NoSQL engine.

The key advantages driving the switch include:

• Relational queries: Full SQL support means joins, aggregations, and complex filtering are native operations, not workarounds.
• Row-Level Security (RLS): Supabase leverages PostgreSQL's built-in RLS policies, giving developers granular access control directly at the database level.
• Predictable pricing: Unlike per-read billing, PostgreSQL-based platforms typically charge based on compute and storage, making costs far more predictable.
• No vendor lock-in: Since Supabase runs on standard PostgreSQL, developers can migrate their database to any PostgreSQL host at any time. Firebase data, by contrast, lives in Google's proprietary ecosystem.
• Open source: Supabase's entire stack is open source, meaning developers can self-host if they choose.

When Firebase Still Makes Sense

This is not a blanket condemnation of Firebase. Google's platform still excels in specific scenarios. If you are building a real-time chat application, a quick MVP, or a mobile app where offline-first sync is critical, Firebase's SDK and infrastructure remain hard to beat.

Firebase's integration with the broader Google Cloud ecosystem — including Cloud Functions, BigQuery, and Google Analytics — also makes it a strong choice for teams already deeply invested in Google's stack.

The issue arises when developers default to Firebase without considering whether their data model is fundamentally relational. For e-commerce platforms, SaaS dashboards, CRM tools, and any application with interconnected entities, PostgreSQL is almost always the better foundation.

The Broader Trend: Back to SQL

This Firebase-to-PostgreSQL migration is part of a larger industry movement. After a decade of NoSQL hype, the developer community is experiencing what some call 'the SQL renaissance.' Tools like Supabase, Neon, PlanetScale (which recently shifted focus), and Turso are all betting that SQL-first backends are the future of application development.

Even AI-powered development tools like Cursor and Bolt are increasingly generating SQL-based backend code by default, reinforcing the shift away from document-store architectures.

What This Means Going Forward

For developers starting new projects in 2025, the calculus has changed. The convenience gap between Firebase and SQL-based alternatives has narrowed dramatically. Supabase now offers real-time subscriptions, instant APIs, and a developer experience that rivals Firebase's legendary ease of use — all while providing the query power and cost predictability of PostgreSQL.

The recommendation emerging from the developer community is clear: start with your data model. If your entities have relationships — and most non-trivial applications do — choose PostgreSQL from day one. The cost of migrating away from Firebase later is almost always higher than the cost of setting up a relational database upfront.

Firebase is not dead. But its era as the default choice for every new project is ending.