Convex Alternatives for Founders Who Want More Control Over Their Backend

Why founders look for Convex alternatives

Convex solves a real problem. Building real-time applications is painful. WebSocket management, cache invalidation, optimistic updates, subscription lifecycle — this stuff eats weeks of development time. Convex eliminates all of it. Write a query function, use it in a React hook, and your UI stays in sync automatically. It is a genuinely great developer experience.

So why would anyone want to leave?

Vendor lock-in with no escape hatch. This is the big one. Convex is not open source. There is no self-hosting option. Your data model uses Convex's proprietary document store — not Postgres, not MySQL, not even a standard NoSQL format. Your backend logic runs as Convex-specific TypeScript functions with Convex-specific patterns for queries, mutations, and actions. Every line of backend code you write is coupled to the platform. If you need to migrate, you are not swapping a database connection string. You are rewriting your entire data layer.

The reactive model has a learning curve. Convex's approach to backend development is different from everything else. Queries must be deterministic (no random values, no Date.now()). Mutations have specific constraints. The mental model of "every query is a subscription" requires rethinking how you structure data access. For developers coming from REST APIs or even Firebase, there is a meaningful adjustment period. Some patterns that are trivial in SQL require different thinking in Convex.

Pricing uncertainty at scale. Convex's free tier is generous for hobby projects, and the Pro plan at $25/month is reasonable. But as your app grows, usage-based pricing means your bill grows with it — and reactive queries that automatically re-run when data changes can generate more backend compute than you expect. A dashboard that subscribes to ten different data feeds is running ten live queries, not ten cached responses. At scale, this adds up in ways that are harder to predict than a traditional request-response model.

You might not need reactive everything. Not every app benefits from automatic real-time sync. A SaaS with user settings, a content management system, or an e-commerce backend does not need every query to be a live subscription. For these use cases, Convex's core differentiator — automatic reactivity — is overhead you pay for but do not use. A simpler backend would serve you just as well at lower complexity and cost.

These concerns do not make Convex a bad tool. They make it a tool with specific trade-offs that may not align with every project.

How we evaluated these alternatives

We looked at each tool through the lens of a solo bootstrapped founder building a real product:

• Real-time capability: How does it handle live data updates compared to Convex's automatic reactivity?
• Data portability: Can you move your data and logic to another platform without a full rewrite?
• Type safety: Does it offer end-to-end TypeScript type safety like Convex does?
• Self-hosting option: Can you run it on your own infrastructure?
• Total cost at scale: What does a typical SaaS workload actually cost month to month?

We also weighed community size, documentation quality, and ecosystem maturity. When you are building alone, having a well-documented tool with active community support is worth more than a technically superior tool with sparse docs.

Deep dive: what each alternative does best

Supabase — the open-source default

Supabase is the most direct alternative to Convex for founders who want a complete backend platform but are uncomfortable with proprietary lock-in. It gives you Postgres, auth, real-time subscriptions, edge functions, and file storage — all the categories Convex covers, built on open standards.

The Postgres foundation is the key differentiator. Your data lives in a standard relational database that every tool in the ecosystem understands. BI tools, migration frameworks, ORMs, data analysis scripts — they all work. When you write a query in Supabase, you are writing SQL that runs on any Postgres instance. That portability is worth real money when you consider the cost of a future migration.

Real-time in Supabase works through Postgres logical replication. You subscribe to changes on tables, filtered by conditions, and get updates pushed to your client. It works, but it is fundamentally different from Convex's approach. In Convex, every query is automatically a subscription. In Supabase, you explicitly set up real-time channels for the data you want to watch. This means more boilerplate code but also more control over what generates real-time traffic.

Type safety is where Supabase falls behind Convex. Out of the box, the Supabase JavaScript client does not give you the same end-to-end type flow. You can generate TypeScript types from your database schema, and pairing Supabase with Drizzle ORM or Prisma gets you close to Convex-level type safety, but it requires extra setup.

The free tier is generous for active projects but pauses databases after seven days of inactivity. For production, budget $25/month minimum for the Pro plan. Self-hosting with Docker is an option if you want to eliminate platform dependency entirely.

When to pick Supabase: You want a complete backend with the safety net of standard Postgres and the option to self-host. You are willing to write a bit more real-time plumbing in exchange for data portability.

Firebase — the battle-tested real-time veteran

Firebase is the closest comparison to Convex in terms of real-time capability. Firestore's real-time listeners predate Convex by years and are battle-tested at massive scale across millions of apps. If your primary reason for using Convex is real-time sync, Firebase deserves serious consideration.

Firestore's onSnapshot listeners give you live data in your UI components. The SDKs handle offline caching automatically — your app keeps working when the network drops and syncs when it reconnects. For mobile apps, this offline-first behavior is genuinely hard to replicate with other tools. The Flutter, iOS, and Android SDKs are the most polished in the BaaS category.

The pricing model is where Firebase gets uncomfortable. Firestore charges per document read, write, and delete. A list view showing 50 items costs 50 reads. Refresh the page, another 50 reads. Real-time listeners that fire on every change generate reads continuously. This per-operation pricing makes costs hard to predict, especially for the same kind of reactive, frequently-updating UIs that Convex handles with a flat usage model.

Firebase also trades one lock-in for another. Firestore's document model, security rules, and query patterns are proprietary to Google. Moving from Convex to Firebase does not solve the portability problem — it changes which company you are locked into. But Firebase has a decade-long track record and Google Cloud backing, which reduces (but does not eliminate) platform risk.

When to pick Firebase: You are building a mobile app with offline requirements and need real-time sync that has been proven at scale. The per-read pricing model works for your access patterns.

PocketBase — the radical simplifier

PocketBase is the opposite end of the spectrum from Convex. Instead of a managed platform with sophisticated reactive infrastructure, it is a single Go binary you download and run. That binary contains a SQLite database, real-time subscriptions via Server-Sent Events, user authentication, file storage, and an admin dashboard.

The appeal for indie hackers is the total cost of ownership. Download the binary. Deploy it to a $5/month VPS on Hetzner or Fly.io. You now have a complete backend for less than a coffee subscription. No platform fees, no usage-based billing, no surprises. Your database is a single SQLite file you can copy for backups or download to your laptop for local development.

Real-time in PocketBase works through Server-Sent Events. You subscribe to changes on collections (tables) and get pushed updates when records are created, updated, or deleted. It is not as sophisticated as Convex's automatic query reactivity — you are subscribing to table-level changes, not query-level results — but for most apps, it covers the use case.

The fundamental trade-off is scale. PocketBase runs on a single server with SQLite. There is no clustering, no multi-region deployment, no horizontal scaling. For a SaaS with a few hundred active users, this is more than enough. For a SaaS with thousands of concurrent users doing heavy writes, you will hit limits.

The bus factor also matters. PocketBase is primarily maintained by one developer. The project is popular and active, but your critical backend infrastructure depends on one person's continued interest and availability. For a side project, this is fine. For your primary revenue source, weigh it carefully.

When to pick PocketBase: You want the simplest possible backend at the lowest possible cost. Your app has modest scale requirements and you value simplicity over real-time sophistication.

Appwrite — the self-hosted everything

Appwrite is the answer to "I want a full backend platform like Convex but I want to own the infrastructure." It gives you databases, auth with 30+ OAuth providers, file storage, serverless functions in multiple languages, real-time subscriptions, and messaging — all deployable with a single Docker Compose command.

The self-hosting story is the primary selling point. Run Appwrite on your own server and you control the data, the uptime, and the cost. No vendor can change pricing, deprecate features, or shut down. For founders building products they plan to run for years, this independence has real value.

Real-time in Appwrite covers database changes, auth events, and storage events. You subscribe to specific channels and receive updates when relevant changes happen. The model is event-based rather than query-based — closer to Firebase than to Convex. You will not get automatic UI updates from query results, but you get the building blocks to implement it.

The function runtime flexibility is notable. Unlike Convex (TypeScript only), Appwrite functions run in Node.js, Python, PHP, Ruby, Dart, and more. If your team includes a Python developer who wants to write data processing logic, or you want to use a PHP library for PDF generation, Appwrite accommodates that without workarounds.

The managed cloud starts at $15/month for the Pro plan — cheaper than both Convex and Supabase. Self-hosting on a $10/month VPS gives you a production-capable BaaS for the cost of the server alone.

When to pick Appwrite: You want a complete BaaS platform that you own and operate. You value multi-language function support and are comfortable managing Docker in production.

Hasura — the reactive GraphQL layer

Hasura takes a different approach from every other tool on this list. Instead of giving you a complete backend platform, it gives you a powerful API layer that sits on top of your existing Postgres database and auto-generates a real-time GraphQL API from your schema.

Create a table in Postgres, and Hasura immediately gives you queries, mutations, and subscriptions — all with proper types. The subscriptions are the key feature for Convex refugees. A GraphQL subscription in Hasura keeps a live connection open and pushes new results whenever the underlying data changes. For complex data requirements with joins across multiple tables, Hasura subscriptions are actually more powerful than Convex's reactive queries because you have the full expressiveness of SQL underneath.

The permission system is comprehensive. You define row-level and column-level access control rules based on user roles, session variables, and arbitrary conditions. For a multi-tenant SaaS, this is more flexible than Convex's server-side function approach to authorization.

The trade-off is that Hasura is an API layer, not a platform. There is no built-in auth (you bring your own — Clerk, Auth0, or a custom solution). No file storage. No serverless functions beyond Hasura Actions and Event Triggers. You are assembling a stack rather than using an all-in-one platform.

Pricing is also a concern. The managed Hasura Cloud free tier is limited to 60 requests per minute. The Professional plan starts at $99/month, which is steep for a solo founder. Self-hosting the Community Edition is free, but you manage the infrastructure yourself.

When to pick Hasura: You want real-time GraphQL subscriptions over a standard Postgres database and are comfortable assembling auth, storage, and functions from separate services.

NocoDB — the visual database layer

NocoDB is the most unconventional pick on this list. It is not a backend platform or a BaaS. It is an open-source tool that turns any SQL database into a spreadsheet-like interface with auto-generated REST and GraphQL APIs.

Why is it here? Because some founders using Convex are not just building for developers. They need a way for non-technical team members — co-founders, operations staff, customer support — to view and edit data without a custom admin panel. NocoDB gives you that. Connect it to your existing Postgres, MySQL, or SQLite database, and non-technical users get a familiar spreadsheet interface while developers get API endpoints.

NocoDB auto-generates REST and GraphQL APIs from your database schema. These APIs include filtering, sorting, pagination, and nested record lookups. For CRUD-heavy applications, this can replace a significant amount of backend code.

The limitation is clear: NocoDB is not a real-time reactive backend. It does not replace Convex's live query system, auth, or serverless functions. Think of it as one layer of a stack rather than a complete solution. Pair it with Supabase for auth and real-time, and you get a compelling combination — Postgres with real-time for your app, plus a spreadsheet UI for your team.

When to pick NocoDB: You need a visual database interface for non-technical stakeholders and auto-generated APIs for your frontend. Use it as part of a stack, not as a standalone Convex replacement.

Cost comparison for typical workloads

For a SaaS with 1,000 monthly active users, moderate real-time features, 5GB of data, and 50GB of file storage:

• Convex: Pro plan $25/month plus usage. Estimate $30-60/month depending on reactive query volume.
• Supabase: Pro plan $25/month covers this comfortably. Self-hosted: $10-20/month for the VPS.
• Firebase: Blaze plan, usage-based. Estimate $15-50/month depending heavily on read patterns.
• PocketBase: $5-10/month for a VPS. No platform fees.
• Appwrite: Pro plan $15/month managed. Self-hosted: $10-15/month for the VPS.
• Hasura: Self-hosted CE free on a $10-20/month VPS. Cloud Professional $99/month.
• NocoDB: Free self-hosted. Managed cloud from $8/seat/month.

PocketBase is the cheapest option by a wide margin if your scale requirements are modest. Supabase and Appwrite are the most predictable on managed plans. Convex and Firebase are the hardest to predict because usage-based pricing depends on your specific access patterns.

When to stick with Convex

Convex is still the right choice in specific situations:

• Real-time is core to your product. If your app is a collaborative editor, a live dashboard, a multiplayer game, or anything where every user sees every change instantly, Convex's automatic reactivity saves you weeks of development time.
• You value TypeScript type safety above all. The end-to-end type flow from database schema to React component is genuinely excellent. No other tool on this list matches it without extra tooling.
• You are early stage and optimizing for speed. If you need to validate an idea as fast as possible and real-time features are involved, Convex's developer experience lets you ship faster. You can always migrate later if the idea works.
• Your team is small and TypeScript-native. A solo developer or small team that lives in TypeScript will find Convex's patterns natural and productive.

The lock-in concern is real, but it is also a future problem. If you are pre-revenue and trying to find product-market fit, shipping fast matters more than portability. Just go in with your eyes open about the trade-off.

Migration considerations

Moving off Convex requires planning because the coupling runs deep.

Data export. Convex supports snapshot exports that give you your data as JSON files. The data itself is portable. Export early and often so you have backups regardless of migration plans.

Backend logic rewrite. This is the hard part. Your Convex query functions, mutations, actions, and scheduled functions all need to be rewritten for the target platform. Convex queries become SQL queries or API calls. Mutations become database writes behind REST endpoints or GraphQL mutations. Actions that call external APIs become serverless functions or API routes.

Real-time replumbing. If you relied on Convex's automatic reactivity, you need to explicitly set up real-time infrastructure on the new platform. On Supabase, this means configuring Postgres real-time channels. On Firebase, it means setting up Firestore listeners. On Hasura, it means writing GraphQL subscriptions. Budget significant time for this if real-time was central to your app.

Auth migration. If you used Convex's built-in auth, you need to migrate user accounts to the new platform's auth system. Password hashes may not be directly portable depending on the hashing algorithm used.

Incremental approach. Consider migrating feature by feature rather than all at once. Stand up the new backend alongside Convex. Migrate one feature, verify it works, then move on. Keep Convex running until the migration is fully verified. Budget 4-8 weeks for a medium-sized project with significant real-time features.

The migration cost is the real price of Convex's lock-in. Factor it into your decision, but do not let it paralyze you. Every platform has switching costs. The question is whether Convex's productivity benefits justify those costs for your specific project.