If you are evaluating BaaS platforms for a new product or a migration, you want a short list that maps to real engineering constraints: data model, self-hosting, pricing shape, and lock-in, not feature marketing.
This page is a curated index. For columns on open source, self-hosting, pricing, strengths, and limitations across vendors, use the primary reference: Backend as a service (BaaS): comparison table.
Platforms worth a proof of concept
- Appwrite: BSD 3-Clause server, managed cloud or Docker self-host, broad function runtimes, unified auth/database/storage/messaging. Strong when you want one console and API portability.
- Firebase: Mature Google-managed stack, excellent mobile SDKs, Firestore and Cloud Functions. Strong when you optimize for time-to-first-user on Google Cloud and accept proprietary lock-in.
- Supabase: Postgres-first, Row Level Security, Edge Functions (TypeScript), good SQL ergonomics. Strong when your team wants relational SQL as the center of gravity and can operate or pay for the platform accordingly.
- AWS Amplify: Front door into Cognito, AppSync/Lambda, S3, and the rest of AWS. Strong when you are already all-in on AWS IAM and want Gen2/IaC-aligned workflows, not a minimal “single binary” BaaS.
Deep dives on this site
- Backend as a service (BaaS): main comparison (Firebase vs Supabase vs Appwrite vs Amplify).
- Open source Firebase alternative: migration and lock-in framing.
- Appwrite compared to Supabase: feature-level BaaS comparison.
- BaaS vs custom backend: when managed primitives stop being enough.
Customer identity without the hassle
Add secure authentication in minutes, not weeks.
Built-in security and compliance- Multiple login methods
- Custom authentication flows
- Multi-factor authentication
Picking in one pass
- Need self-host or source for the server? Drop proprietary-only options unless politics allow an exception.
- Is Postgres non-negotiable? Weight Supabase; compare SQL ergonomics vs Appwrite’s database APIs for your access patterns.
- Is Google-only acceptable? Firebase stays in the running; otherwise prioritize OSS + portable data paths.
- Already standardized on AWS? Model Amplify as AWS glue, not as “Firebase-simple,” then compare total cost of ownership including IAM and cross-service debugging.
When in doubt, prototype auth + one read/write path + one background job on two finalists before you commit your data model.
