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Firebase vs Supabase in 2025: Which one actually scales with you ...
Excerpt
### Firebase’s problems at scale 1. **Lock-in is real** - Firebase isn’t just a tool. It’s an ecosystem. - Your backend logic lives in Cloud Functions, your data in Firestore or Realtime DB, your auth rules in a custom DSL. - Migrating *anything* becomes painful. **2. Querying Firestore gets weird fast** - No joins. Limited where clauses. You start doing gymnastics with data duplication and client-side merging. - Performance suffers — and so does your sanity. **3. Debugging is painful** - Ever tried debugging a Firebase rule mismatch at 2 a.m.? Good luck. - Logs are spread across tools. Testing access control becomes trial-and-error. ### Supabase’s problems at scale 1. **You own the ops (even if they hide it)** - Sure, Supabase is “hosted,” but you’re closer to the DB. - Bad queries = bad performance. - You’ll need to think like a backend dev eventually (indexes, auth layers, rate limits). **2. DevEx gaps still exist** - The dashboard UI and auth workflows aren’t as frictionless as Firebase. - Docs are good, but edge cases can take digging. - Community is smaller (but growing fast).
Source URL
https://dev.to/dev_tips/firebase-vs-supabase-in-2025-which-one-actually-scales-with-you-2374Related Pain Points
Query and index optimization challenges at scale
6As MongoDB databases grow in size and complexity, queries become slow and inefficient. Developers must fine-tune queries, indexes, and database architecture to ensure optimal performance, but this is time-consuming and error-prone.
DevX Gaps in Dashboard UI and Auth Workflows
4While Supabase excels in many areas, the dashboard UI and authentication workflows are not as frictionless or intuitive as Firebase, creating friction in common workflows.