There is no single best backend in 2026. There are three good ones that start from completely different assumptions about how you build, and picking the right one comes down to a single question: who do you want doing the work, you, your code, or your AI tool?
Supabase assumes you know SQL and want a real Postgres database you control. Convex assumes you live in TypeScript and want your backend to be reactive functions instead of a database you query. Butterbase assumes you are building with an AI coding tool and want that tool to operate the backend directly. Three philosophies, three different kinds of builder. This is the honest breakdown of which one fits you.
The one-line version of each
Before the detail, here is the shape of each platform in a sentence.
Supabase is PostgreSQL with superpowers: a real relational database plus auth, storage, realtime, and edge functions, fully open source and self-hostable. The industry standard, battle-tested, with the comfort of SQL and zero lock-in.
Convex is a reactive document database where your TypeScript functions are the entire backend. No SQL, no ORM, no separate caching layer. Every query is a live subscription by default, which makes real-time apps feel effortless. TypeScript end to end.
Butterbase is an MCP-native backend built so your AI coding tool operates it directly. Postgres underneath, but instead of you configuring it through a dashboard or writing the data layer in code, you describe what you need and Claude Code or Cursor provisions the database, auth, storage, and deploy in the same conversation where it builds your app.
The difference between them is not really features. All three give you a database, auth, storage, and functions. The difference is who does the work of wiring it together.
Supabase: for builders who think in SQL
Supabase is the safe, powerful, standard choice, and for the right person it is excellent.
You get full PostgreSQL. Joins, transactions, foreign keys, full-text search, JSONB, window functions, materialized views, and the entire Postgres extensions ecosystem, including pgvector for AI embeddings. Row Level Security is enforced at the database layer itself, so your access policies hold even if a client connects directly. It is open source under Apache 2.0 with no usage restrictions, and you can self-host the whole stack if compliance ever demands it. If you migrate off, your schema and queries work with any Postgres provider, so there is genuinely no lock-in.
The cost of that power is complexity. To use Supabase well you need to understand SQL, manage schemas and migrations, and configure RLS policies correctly. The platform gives you a visual table editor and auto-generated types to soften the learning curve, but the assumption underneath is that you are comfortable thinking in databases. Pricing starts free, with the well-known catch that free projects pause after a week of inactivity, then $25 a month for Pro plus usage-based overages that climb with storage, bandwidth, and active users.
Choose Supabase if you know SQL or want to, you need complex relational queries or analytics, you want pgvector for AI features, or zero lock-in and self-hosting matter to you. It is the strongest choice for developers who want control and are happy to do the configuration themselves.
Convex: for builders who think in TypeScript
Convex took a genuinely different path, and for real-time apps it is a joy.
Instead of a SQL database you query, Convex is a reactive document store where you write your backend as TypeScript functions. Every query is a live subscription by default, change a row anywhere and every client watching it re-renders automatically, with optimistic updates and cache invalidation handled for you. For collaborative tools, chat apps, and live dashboards, this removes an enormous amount of friction that you would otherwise patch onto Supabase with extra libraries. It is TypeScript end to end with compile-time type safety from schema to client, and it went open source in February 2025 under an FSL license, easing the lock-in concerns it used to carry.
The trade-offs are real and worth knowing. Convex does not support SQL, so for complex reporting, analytics, or heavily relational queries you will hit walls or have to restructure around its model. The data model is proprietary, which means migrating off Convex is a rewrite of your data access layer, not a clean Postgres export. It has no native vector search, so for RAG and semantic search you are bolting on a separate service. And it is fully managed only, so there is no self-hosted cost ceiling the way Supabase offers. Pricing also starts around $25 a month, but it scales on compute (function execution time) rather than storage, so heavy backend logic is what grows your bill.
Choose Convex if you live in TypeScript, you are building something real-time-first like a collaboration or chat app, and you want the simplest possible backend setup without managing database infrastructure. It is genuinely faster to get started with for the apps it is built for.
Butterbase: for builders who think in prompts
Butterbase starts from a different question than either of the others. Not "do you prefer SQL or TypeScript," but "what if your AI coding tool did the backend work instead of you?"
It is built around the Model Context Protocol, which means an AI coding tool like Claude Code or Cursor does not just write code that talks to your backend, it operates the backend directly. You describe what your app needs in plain language, and the AI provisions the database, sets up auth, configures storage, and handles the deploy, all in the same conversation where it is building your frontend. Underneath it is Postgres with row-level security, so you get a real relational database, not a proprietary store, plus auth, file storage, realtime, serverless functions, an AI gateway with built-in RAG, and hosting. It is open source under Apache 2.0 and self-hostable.
The thing Butterbase optimizes for is the elimination of the human middleman between idea and working backend. With Supabase you configure the backend yourself through a dashboard and SQL. With Convex you write it yourself in TypeScript functions. With Butterbase the AI tool does the wiring, and you review and direct rather than implement. For a non-technical founder or a vibe coder who wants to stay in the building conversation rather than context-switch into backend configuration, that is the whole point.
The honest trade-off: Butterbase is newer and smaller than Supabase, with a smaller community and ecosystem. If your workflow is not centered on an AI coding tool, much of what makes it distinctive does not apply to you, and you would likely be happier with Supabase's maturity or Convex's reactivity. Butterbase's advantage is specifically for the AI-operated workflow. Outside that, the older platforms have more battle-testing behind them.
Choose Butterbase if you build primarily through an AI coding tool, you want that tool to handle the backend instead of configuring it yourself, you want a Postgres foundation with built-in RAG for AI features, and you would rather describe what you need than learn SQL or TypeScript backend patterns.
The honest head to head
A few dimensions where the differences actually matter:
The data model. Supabase and Butterbase are both Postgres, which means real relational data, SQL when you need it, and clean portability. Convex is a proprietary document store, more elegant for reactive apps but harder to leave. If long-term portability matters, the two Postgres-based options have the edge.
Real-time. Convex wins outright here. Reactive-by-default is its core strength, and nothing else matches it for collaborative, live-updating apps. Supabase does real-time through Postgres change subscriptions, which is solid but more manual. Butterbase offers realtime over WebSocket as one feature among many rather than the central paradigm.
AI and RAG. This is where it splits interestingly. Supabase has pgvector, so it handles vector search well if you wire it up. Butterbase has RAG and an AI gateway built in, designed for AI apps from the start. Convex has no native vector search, which makes it the weakest of the three for RAG specifically, you would add a separate service.
Who does the work. Supabase: you, through SQL and a dashboard. Convex: you, through TypeScript functions. Butterbase: your AI coding tool, through MCP. This is the real dividing line, and it maps directly to how you prefer to build.
Maturity and ecosystem. Supabase is the most established by a wide margin, with roughly 96,000 GitHub stars and years of production use. Convex is younger, around 9,000 stars, but proven for its niche. Butterbase is the newest of the three. If you weight community size and battle-testing heavily, Supabase leads.
Lock-in. Supabase and Butterbase are both Apache 2.0 and self-hostable with Postgres underneath, so leaving is clean. Convex is FSL-licensed and its proprietary model makes migration a rewrite. For lock-in aversion, the Postgres pair wins again.
So which is better?
The honest answer is that "better" is the wrong frame. Each is the best choice for a specific kind of builder, and the worst choice for the others.
If you think in databases and SQL, want maximum control and a battle-tested standard, and value zero lock-in, Supabase is your backend. It is the safe, powerful default and there is a reason it is the industry standard.
If you live in TypeScript and you are building something real-time-first, a collaboration tool, a chat app, a live dashboard, Convex will feel like magic and save you real friction, as long as you can live within its model and do not need heavy SQL or native vector search.
If you build with an AI coding tool and want it to operate the backend instead of configuring it yourself, especially if you are non-technical or want to stay in the build conversation, Butterbase is built for exactly that workflow, with a Postgres foundation and RAG ready for AI apps.
The question that actually decides it: when you picture building your next app, who is doing the backend work? If it is you writing SQL, Supabase. If it is you writing TypeScript, Convex. If it is your AI tool, while you describe and direct, Butterbase. Answer that honestly and the choice makes itself.
Frequently asked questions
Yes. Supabase has the widest mobile support with official libraries for iOS, Android, and Flutter. Convex works well for mobile through React Native. Butterbase supports mobile through React Native or by connecting directly to its REST and realtime APIs. If mobile is your primary platform, Supabase has the most mature tooling today.
Butterbase is designed specifically for this. Since your AI coding tool operates the backend through MCP, you describe what you need in plain language rather than writing SQL or backend code. Supabase and Convex both assume you are comfortable writing code - Supabase in SQL, Convex in TypeScript. A non-technical founder can use Supabase or Convex with no-code tools or by hiring a developer, but Butterbase is the only one built so the AI does the backend work for you.
Supabase and Butterbase are the easiest to leave because they both run on Postgres. Your data, schema, and queries transfer cleanly to any other Postgres host. Convex is harder to leave because it uses a proprietary data model, so migrating means rewriting how your app talks to the database. Think of it as the difference between moving a Word document to Google Docs versus rebuilding a Notion workspace from scratch.
Supabase and Convex start around $25 a month. Butterbase starts at $19. But they charge for different things. Supabase bills on storage, bandwidth, and active users, so a data-heavy or high-traffic app grows in cost. Convex bills on compute time, so complex backend logic drives the bill. Butterbase bills on usage across AI gateway credits, storage, and function calls. For a small app any of them is affordable. For a large one, the cheapest depends on whether you are storage-heavy, compute-heavy, or AI-heavy.
Butterbase runs on standard Postgres with Row Level Security, so the same protections apply regardless of who makes the change. The AI operates through the MCP server within the permissions you set, and every operation is logged. You can review changes before they go live, roll back via standard Postgres backups, and set guardrails on what the AI is allowed to modify. The database itself is as safe as any Postgres instance; the only difference is who is pushing the buttons.
Yes for all three. Supabase and Convex have mature team collaboration with role-based access, audit logs, and organization features. Butterbase supports team access through its dashboard and MCP connections, with the same auth and permission layers you would expect from a Postgres backend. For large engineering teams, Supabase has the most mature multi-user tooling today.
With Supabase, yes. You will write SQL, manage schemas, and configure database policies. With Convex, you need to understand how its reactive data model works, which is different from traditional databases but still a backend concept. With Butterbase, you do not need to know SQL or database internals because the AI tool handles the schema and queries. That said, understanding the basics of how data is stored and secured helps on any platform, even when the AI does the wiring.
Building with Claude Code or Cursor and want your AI tool to handle the backend instead of configuring it yourself? Butterbase is MCP-native, Postgres-backed, and built so your AI coding tool provisions the database, auth, storage, and deploy directly, in the same conversation where it builds your app.