Rebase vs Firebase
Firebase provides an incredible initial developer experience, but its NoSQL foundation inevitably creates deep technical debt for relational data apps. See why teams migrate to Rebase for Postgres-powered schemas, zero lock-in, and instant Admin Panels.
NoSQL Chaos vs Relational Postgres
The Firebase Pain
Because Firebase is NoSQL, your data is not inherently relational. To perform operations roughly equivalent to a SQL JOIN, developers have to dangerously denormalize/duplicate their data across collections, relying on complex Cloud Functions to keep data synced when it updates.
How Rebase Solves This
Rebase uses true relational PostgreSQL.
- Store a user's name exactly once. Update it once.
- Perform fast, complex joins automatically without writing arbitrary sync-scripts.
- Stop fighting your database and let Postgres handle data integrity automatically.
Barebones Scaffolding vs Real Admin UI
The Firebase Pain
The Firebase Console is purely a developer tool. If you need a dashboard for your customer success team or content writers, you must manually build an entire admin panel from scratch, connecting it separately to the Firebase SDK.
How Rebase Solves This
Rebase automatically generates a stunning, production-ready React Admin Panel.
- Instant generation of tables, kanban boards, and formatted edit screens.
- Safe to give access to non-technical teammates using granular RBAC.
- Customize with your own React components where needed.
Google Cloud vs Deployment Freedom
The Firebase Pain
Firebase is entirely proprietary to Google Cloud. If you decide to move, migrating data out of Firestore to a different database architecture is a massive, costly engineering endeavor.
How Rebase Solves This
Rebase is fully open-source and natively Docker-ready.
- Host on AWS, DigitalOcean, Fly.io, Railway, or barefoot metal servers.
- Under the hood, your data is merely a standard PostgreSQL database, giving you eternal interoperability with BI tools everywhere.
