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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesThere is no single best Firebase alternative for every web project. Start with Supabase if your application depends on SQL and relational data, Appwrite if you want a broad API-driven backend with a self-hosting option, Convex if reactive TypeScript workflows are central, or AWS Amplify if your team already builds on AWS. Compare data models, authorization, portability, operating work, and billing before choosing a replacement.
Which Firebase alternative fits your project?
Use this shortlist to identify two candidates, not to treat any platform as a universal winner. The tradeoffs below draw in part on Appwrite’s vendor-authored comparison, updated June 29, 2026; its comparative judgments are Appwrite’s, not an independent audit. Product capabilities described in official documentation can also change, so confirm that each platform still supports the features and regions your project needs.
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| Platform | Best starting point | Main tradeoff to investigate |
|---|---|---|
| Supabase | PostgreSQL, SQL queries, and relational data alongside integrated authentication, storage, realtime, and edge functions. | Self-hosting is possible, but it transfers operations to your team; some cloud and self-hosted features differ. |
| Appwrite | An API-driven backend with authentication, databases, storage, functions, messaging, realtime, and a self-hosting option. | Self-hosting adds operational responsibility. Appwrite’s comparison also characterizes its third-party ecosystem as younger than Firebase’s in some niches. |
| AWS Amplify | Web development workflows for teams already invested in AWS services. | AWS breadth can bring more IAM and cross-service complexity; Appwrite’s comparison also flags a steeper learning curve and harder billing forecasts. |
| Convex | TypeScript teams that prioritize reactive data and realtime synchronization. | Appwrite’s comparison describes a document-only data model, TypeScript-only functions, and a smaller third-party ecosystem. Verify current constraints against Convex’s own documentation. |
| PocketBase | Lean projects where a lightweight, self-hosted backend is a good fit. | It is a narrower option than a managed Firebase workflow: your team owns deployment, backups, security, and scaling. The available comparison does not establish a full feature-by-feature assessment. |
When staying with Firebase is reasonable
Keep Firebase in the shortlist if its managed Google stack and mature mobile ecosystem fit your product and your team accepts its data model and platform dependence. The Appwrite comparison describes Firebase’s server stack as lacking first-party self-hosting and notes greater lock-in around its data model and pricing. Treat those as Appwrite’s assessment, and assess the consequences against your own architecture.
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Data model and query needs
Write down the relationships and queries your application actually uses. Supabase centers on PostgreSQL, making SQL and relational modeling a natural fit. Appwrite documents both structured TablesDB and document-style storage, as well as native PostgreSQL and MySQL options. Convex is described in the comparison as a reactive document database. These models are not interchangeable: test representative queries and data changes rather than comparing product labels alone.
#1 Best Overall
Authorization and access control
Translate one real authorization requirement into each finalist’s rules. Supabase documents Storage policies tied to PostgreSQL Row Level Security, while Appwrite describes permission-aware database APIs. Check where rules are enforced, how they apply to reads and writes, and how they interact with server-side functions. Do not assume Firebase rules or policies can be copied directly into another platform.
Self-hosting, portability, and operations
Supabase and Appwrite document self-hosting options, and Appwrite lists Firebase migration guidance. Self-hosting can increase control, but it also makes your team responsible for infrastructure operations. Include deployment, backups, upgrades, security, monitoring, and scaling in the decision; a self-hosted service is not automatically cheaper when engineering time is counted.
Realtime and functions
Test the event behavior your product needs. Supabase documents realtime features and TypeScript Edge Functions; the vendor comparison describes Firebase integration with Google Cloud Functions triggers and Convex’s reactive synchronization model. Compare the required triggers, runtimes, delivery semantics, and failure handling. These descriptions do not establish a performance winner.
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Billing and cost shape
Compare the billing model against a defined workload rather than a headline price. Account for usage-based charges, quotas, overages, fixed or dedicated compute, and the staff time needed to operate a self-hosted stack. No common-workload bill or directly comparable price total is established here; check each vendor’s current pricing, quotas, and regional availability for your expected usage.
Ecosystem and team fit
Check whether the platform supports your framework, deployment workflow, existing cloud commitments, and essential integrations. Supabase’s official documentation lists quickstarts for React, Next.js, Astro, Vue, Nuxt, SvelteKit, and other frameworks. Appwrite’s documentation lists web framework integrations and its broader backend services. AWS Amplify is most compelling when AWS is already part of the team’s architecture. Verify any specific integration your application depends on before committing.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should you test two finalists?
Build the same small proof of concept on both candidates. Appwrite’s 2026 platform guide recommends prototyping authentication, a read/write path, and a background job; adding a representative authorization rule makes the comparison more useful for a real application.
Rank #4
- Implement sign-in. Exercise the sign-in flow your product needs, including any essential account lifecycle behavior.
- Build one representative read/write path. Use realistic data and the queries that matter to the application, not an artificially simple example.
- Enforce one authorization rule. Test permitted and denied access for the relevant user roles, including the path used by server-side code if applicable.
- Run one background or event-driven task. Check that the candidate supports the trigger and runtime your product requires.
- Record developer and operational work. Note integration friction, configuration complexity, required infrastructure ownership, and any unsupported requirement.
Keep the workload and acceptance criteria the same for both prototypes. That makes the result more informative than comparing feature lists, without pretending the prototype is a controlled performance benchmark.
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What changes when you migrate an existing Firebase app?
Treat migration as a redesign of data and authorization as well as a service swap. Firebase’s data structures, access rules, authentication setup, and event-driven behavior may not map one-to-one to the destination platform.
- Inventory dependencies: list the Firebase services the application uses, the data they hold, and the code paths that depend on them.
- Map the data: identify relationships, queries, and transformations needed for the destination data model.
- Redesign permissions: express current access requirements in the target platform’s authorization model, then test both allowed and blocked cases.
- Verify migration coverage: Appwrite provides Firebase migration guidance, and Supabase documents Firebase Auth, Storage, and Firestore migration resources. Check whether the documented path covers your exact setup and data before planning cutover.
- Plan the transition: determine how you will validate migrated data and manage application behavior while moving from the existing backend.
A migration guide is a starting point, not proof that every project-specific service, rule, or data shape transfers automatically.
Quick Recap
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