Appwrite vs Firebase
Firebase and Appwrite cover nearly identical surface area: user authentication, document databases, file storage, serverless functions, and real-time event subscriptions. The primary differences are ownership model and cost structure.
| Feature | Appwrite | Firebase |
|---|
| License | BSD-3-Clause | Proprietary |
| Self-hosting | Yes | No |
| Database type | Document (collections) | Document (Firestore) |
| Pricing model | Fixed server cost | Per operation (variable) |
| Offline sync | No | Yes (Firestore) |
| Vendor | Appwrite Inc. + community | Google |
Appwrite is the stronger choice when cost predictability matters, when data cannot leave your infrastructure, or when you need consistent SDK coverage across Flutter, iOS, Android, and multiple server runtimes from a single platform. Firebase is the better choice when you need offline-first sync for mobile clients (Firestore's strongest differentiator), when you are already deep in the Google Cloud ecosystem, or when your team has no capacity for server maintenance.
Appwrite vs AWS Amplify
AWS Amplify is the closest enterprise-tier comparison. Both provide auth, storage, functions, and APIs, but Amplify provisions native AWS services (Cognito, S3, DynamoDB, Lambda) under the hood, while Appwrite runs as a self-contained Docker stack.
| Feature | Appwrite | AWS Amplify |
|---|
| License | BSD-3-Clause | Proprietary |
| Self-hosting | Yes | No |
| Setup complexity | Moderate (Docker wizard) | High (AWS ecosystem) |
| Cost model | Fixed server cost | AWS service pricing |
| Vendor lock-in | Low | High |
Appwrite is a better fit for teams that want integrated backend services without learning the full AWS service surface. AWS Amplify is the stronger choice for teams already committed to AWS infrastructure, needing tight IAM policy control, or building applications that integrate deeply with other AWS services (SQS, SNS, RDS).