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Supabase: an open-source alternative to Firebase

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Supabase in 2026: the open-source backend platform (PostgreSQL, auth, API, Edge Functions, AI). Benefits, pricing, Firebase comparison, and when to choose it.
Supabase is the open-source backend platform that has established itself as a serious alternative to Firebase since 2022. Native PostgreSQL, authentication, storage, REST API, and since 2024, a complete AI ecosystem with pgvector and Edge Functions. Here’s what you need to know in 2026.
For Supabase basics (authentication, 2026 pricing, pgvector, Edge Functions), start with our reference article: Supabase: an open-source alternative to Firebase.
Not so long ago, choosing a backend often took a back seat. Many teams focused on the interface, speed to market, or the easiest-to-use front-end tool. Then the reality of the product caught up with everyone. User management, access rules, files, business logic, scalability, data structure, automations, project handover to another team.
This is exactly where Supabase carves out a unique position.
If Supabase is so appealing today, it’s not because it’s magical. It’s because it addresses a very real market need. Companies want to launch fast, but they no longer want to rebuild their technical foundation six months later. They want a solid PostgreSQL database, clean authentication, storage, real-time features, server functions, and a framework that remains readable as the product grows.
In other words, they want a modern backend that’s fast to start with but still holds up when roles, permissions, volumes, and business cases become more complex.
That’s why Supabase is becoming a true benchmark.
What is Supabase?
Supabase is an open-source backend platform built on PostgreSQL. It combines in a single tool what is typically assembled across multiple services: a relational database, user authentication, file storage, auto-generated API, real-time subscriptions, and serverless functions (Edge Functions).
Unlike Firebase, which relies on Firestore (a NoSQL document database), Supabase uses PostgreSQL. If you know SQL, you’re immediately productive. You can access your data via an auto-generated REST API, GraphQL, or directly through a Postgres connection.
Supabase is open source. You can self-host it on your own infrastructure or use Supabase’s managed cloud. In both cases, you retain full control over your data.
Supabase vs Firebase: key differences
Database
Firebase uses Firestore, a NoSQL document database. Supabase uses PostgreSQL, a relational database with a strict schema. For projects with complex business logic, joins, or well-structured data, PostgreSQL is the better fit. Firestore excels at ultra-simple real-time synchronization.
Open source vs proprietary
Firebase is a Google product and proprietary. Supabase is open source (Apache 2.0 license). You can read the code, contribute, and deploy your own instance. No vendor lock-in.
Costs
Firebase charges based on usage (reads, writes, storage, bandwidth). The bill can be surprising for high-volume projects. Supabase offers predictable per-project pricing with a generous free tier.
Supabase in 2026: pricing and AI features
Supabase pricing 2026
- Free : free, 500 MB database, 1 GB storage, 5 GB bandwidth. Limited to 2 active projects.
- Pro : $25/month/project. 8 GB database, 100 GB storage, 250 GB bandwidth. Suitable for the vast majority of production projects.
- Team : $599/month. Multiple projects, SSO, extended logs, priority support.
- Enterprise : custom quote. Guaranteed SLA, dedicated support, private hosting options.
The Free plan is enough to validate a prototype. The Pro plan covers almost all SaaS or business application projects with up to several thousand active users.
Supabase and AI in 2026
Since 2024, Supabase has become the go-to backend for AI projects. There are several reasons for this.
First, pgvector : the PostgreSQL extension that allows you to store and query vector embeddings directly in Supabase. In practice, you can build semantic search, recommendation systems, or knowledge bases for AI agents without a separate vector database.
Then, Edge Functions : serverless TypeScript functions that run as close as possible to users. They allow you to call AI APIs (Claude, OpenAI, Mistral) directly from the Supabase backend, without exposing your API keys on the client side.
Finally, Anthropic’s MCP (Model Context Protocol) enables AI agents to read and write to a Supabase database in a standardized way. Claude can query your tables, retrieve records, and create data via a secure connection.
Supabase’s main features
- PostgreSQL database : all the power of Postgres (transactions, indexes, functions, triggers, extensions).
- Auth : email/password authentication, OAuth (Google, GitHub, Apple, etc.), magic links, MFA.
- Storage : file storage with granular access policies per user or role.
- Realtime : real-time subscriptions to table changes via WebSockets.
- Edge Functions : serverless TypeScript code deployed in seconds, accessible via HTTPS.
- pgvector : vector search and embeddings directly in the database.
- Row Level Security (RLS) : row-level security policies: each user only sees their own data.
Who is Supabase for?
Supabase is a great fit for technical teams that want a modern backend without managing complex infrastructure. It’s the standard choice for SaaS projects, business applications, ambitious MVPs, and projects integrating AI.
Supabase is not the right tool if your team lacks technical expertise to manage a database schema. In that case, Airtable or Notion databases will be more accessible to start with.
To go further with Supabase
For an in-depth analysis of Supabase as a reference for modern backends (feedback, detailed comparison with Firebase and Airtable, production use cases), see our dedicated article: Why Supabase is becoming the reference for modern backends.
Scroll develops your projects on Supabase
At Scroll, we use Supabase for most of our application projects: SaaS, back-offices, client portals, and AI agent applications. We master data modeling, RLS policies, Edge Functions, and pgvector integration for AI use cases. If you have a project to launch, a prototype to stabilize, or an AI/no-code project to take over, contact our Supabase team.
Supabase meets a now central expectation
The market has changed. Today, an app is almost never standalone. It needs to connect to a website, a CRM, internal tools, automations, an AI layer, sometimes a back office or a customer portal. The backend is no longer just a place to store rows. It’s the heart of the product.
In this context, Supabase ticks several very strong boxes.
First, the PostgreSQL logic. Many teams want to regain a clear relational structure. They want clean tables, readable relationships, mastered SQL queries, understandable migrations, and data that remains usable over time. This is often where Supabase reassures. You’re not working in a black box. You’re working on a known, robust, standard, and widely adopted foundation.
Then, product consistency. With Supabase, you’re not just getting a simple database service. You’re getting a set of building blocks that communicate well with each other. Auth, storage, real-time, API, edge functions, permissions. This consistency matters a lot. It reduces the number of tools to assemble and avoids many of the classic frictions that arise when the backend has grown through layering.
Finally, there’s a point that’s weighing more and more in decision-making: control. An open-source backend reassures because it reduces the feeling of lock-in. Even when a team stays on the cloud version, they know they’re not building on a completely opaque technology. For many SMEs, B2B SaaS, and business tools, this point carries far more weight than before.
This is also why topics like sovereignty, reversibility, and technological independence are coming up more often in discussions. On this point, our article on the sovereign stack and alternatives to GAFAM complements the subject very well.
What teams really love about Supabase
In practice, Supabase appeals because it bridges the gap between the product world and the data world.
A founder sees a more stable foundation for their application. A CTO sees a healthier architecture. A product profile sees a stack that allows launching a V1 without sacrificing the future. And a growth team sees a modern backend capable of powering multiple surfaces without starting from scratch.
The first advantage is clarity. When a project starts to take off, the question isn’t just about making a feature work. The real question is quickly understanding where the data is, who accesses it, and how the system evolves. Supabase simplifies this a lot because it’s built on a clear PostgreSQL database and well-integrated native building blocks.
The second advantage is useful speed. Not gadget speed. Real speed—the kind that lets you launch a customer area, a portal, a B2B SaaS, or a business application without having to rework the entire backend three months later. This is a key point. Many tools promise a quick start. Few remain as comfortable when you add roles, fine-grained permissions, storage, and real-time flows.
The third advantage is the ability to stay clean as the project becomes more complex. As long as you’re managing three screens and two user profiles, almost everything seems simple. The problems start when you need to handle multiple access levels, documents, workflows, different clients, histories, sensitive data, or automations. This is where an open-source backend built on PostgreSQL becomes very valuable.
Supabase vs Firebase: the real showdown in 2026
The Supabase vs Firebase comparison keeps coming up, and for good reason. For a long time, Firebase held a very strong place in the product mindset. When speed was of the essence—especially for web or mobile apps—Firebase was often the go-to choice.
That said, we should stay nuanced. Firebase remains an excellent platform. The Google ecosystem is powerful, the tooling is mature, authentication is well-established, and the whole package remains relevant in many contexts, particularly when a team is already deeply embedded in the Google universe.
But the debate has shifted.
Historically, Firebase was closely associated with Firestore and the NoSQL model. Today, Google has evolved its offering with Firebase Data Connect on PostgreSQL. This is a significant point, as it clearly shows that the market is once again demanding more readable relational models. Despite this, Supabase’s DNA remains different. Supabase was designed from the ground up around Postgres, with a more direct approach for teams that want to work as closely as possible to their data schema.
This is often where the difference lies.
With Firebase, you can move very quickly, but many teams end up juggling multiple components and different logics. With Supabase, the experience is often more linear. You start with a Postgres database, structure it cleanly, and then enable the services your product needs around it.
Another key difference: the perception of control. When a company looks for a Firebase alternative, it’s not always about finding a cheaper or trendier product. Often, they’re looking for a more transparent, portable, and standards-aligned framework for data and backend development. This is precisely where Supabase excels.
In short, Firebase remains strong for certain use cases. But when it comes to data structure, fine-grained permissions, maintainability, relational models, reversibility, and long-term vision, Supabase often takes the lead.
To further explore backend choices based on context, you can also check out our Xano vs Supabase comparison, which delves into the expected level of control depending on the project.
Supabase vs Airtable: be careful, we’re not talking about the same playing field
The Supabase vs Airtable comparison is also very common, but it requires a bit more explanation.
Airtable is a great tool. It’s highly effective for structuring business data, creating simple views, enabling team collaboration, building lightweight workflows, and quickly deploying internal use cases. For some organizations, Airtable remains an excellent starting point.
But Airtable doesn’t play the same role.
Airtable excels as an operational database, a management tool, a collaboration and workflow layer. Supabase, on the other hand, positions itself much more clearly as an application backend. That changes everything.
When building a real product—with authentication, business logic, detailed permissions, relational data architecture, scalability, and multiple connected interfaces—Airtable quickly reaches its limits. Not because the tool is bad, but simply because it wasn’t designed to be the core engine of a complex modern application.
That’s why the statement “Supabase replaces Airtable” is often too simplistic. In reality, Supabase more often replaces what teams *wished* they could scale with Airtable, when the actual need was already that of a modern backend.
In other words, Airtable is great for organizing. Supabase is great for building.
Why Supabase fits the needs of modern apps so well
A modern application has to manage much more than just a database.
It needs to handle accounts, sessions, roles, organization-based access, files, sometimes real-time features, sometimes server functions, sometimes vector search, sometimes product automations. If every need requires a new tool, the architecture quickly becomes a maintenance nightmare.
This is where Supabase scores points.
It allows you to start with a very clear foundation, then add the necessary building blocks at the right time. You don’t overbuild. You don’t stack ten incoherent layers either. You progress block by block, but on a stable base.
For a B2B SaaS, this means you can cleanly model your accounts, users, organizations, permissions, and documents. For a business application, it means you can structure your operational workflows without getting stuck at the first slightly specific need. For a customer portal, it means you can offer a simple front-end experience while maintaining robust data security logic on the back end.
This is also why Supabase often comes up in projects that start as MVPs and then grow into serious products. The starting point is fast, but the path to robustness is more natural.
On this topic, our web and mobile application development page is a good internal anchor, as it clearly reframes the difference between a visual prototype and a sustainable architecture.
What makes the difference when the product shifts into real business mode
Many technical decisions seem secondary at first. Then they become critical.
The best example is application security tied to roles. At the prototype stage, you often settle for just an “admin” and a “user.” In production, it’s never that simple. There are customer accounts, internal teams, sub-roles, partial access, organization-specific scopes, and edge cases. Once this issue arises, the quality of the backend makes a huge difference.
The same goes for data structure. When it’s unclear from the start, every new feature becomes more expensive. Exports get complicated. Automations become fragile. Logical bugs multiply. Conversely, when the foundation is clean, each new block integrates much more smoothly.
This is precisely where Supabase becomes a strategic choice, not just a developer’s preference. It helps maintain a healthy foundation as the business moves from testing to real-world use.
We see this often in project takeovers. An interface may seem solid, while the backend engine is too weak to keep up. This is a topic we address in our case study on transforming an AI prototype into a robust app.
Why Scroll champions Supabase
If we champion Supabase, it’s not because of a trend. It’s because we see very concretely where the tool creates value in projects.
At Scroll, we work on web applications, portals, business tools, SaaS projects, and stacks that need to stay clean over time. In this reality, Supabase often stands out because it strikes a great balance between speed, readability, security, and scalability.
We also push it because it integrates well with modern stacks. With a well-designed front end, a solid automation layer, and good data modeling, Supabase becomes a highly effective foundation for moving fast without cutting corners.
This is also what we highlight on our Supabase agency page, where we detail our approach to databases, authentication, logs, and backend needs.
And this isn’t just theoretical. In our Perfway client case, you can see how a B2B SaaS needs a robust architecture to manage its business workflows, data, and collaboration. The same logic applies in Scroll Agency’s 2025 retrospective, where Supabase is one of the stacks that most frequently appears in the projects we deliver.
So, is Supabase really becoming the reference?
Yes, provided you understand what “reference” means.
It doesn’t mean there are no alternatives left. It doesn’t mean Firebase is bad. It doesn’t mean Airtable is useless.
It means that Supabase currently addresses the shape of modern projects in a very precise way.
Companies want to launch faster, but they also want to stay in control. They want a clear PostgreSQL database. They want an open-source backend. They want to avoid technical dead-ends too soon. They want a credible foundation for a portal, a SaaS, a business app, or a product with multiple roles and interfaces.
On this front, Supabase ticks a lot of the right boxes at once.
And that’s precisely why it’s becoming a reference. Not because it’s perfect. But because, in many cases, it’s the most logical choice.
What this changes for a company launching or rebuilding its application
The real question isn’t just “which tool to choose?”. The real question is “on what foundation should I build my product?”.
A poor backend choice isn’t always obvious in the first week. It becomes clear when you need to add a customer portal, connect a back office, secure access, integrate automations, manage multiple user types, or hand the project over to another team.
Choosing Supabase often means buying peace of mind for the future.
This doesn’t mean you can skip proper framing, modeling, or development. But it does provide a much healthier framework to move forward. And when the goal is to build a modern application with real business logic, this framework makes a real difference.
The logical next step for projects built to last
If your need is just to store data or test a small internal workflow, Airtable may suffice. If your team is deeply rooted in the Google ecosystem, Firebase can still be a good choice depending on the context. But if you’re looking for a modern, readable, structured backend capable of supporting a real business application or a SaaS, then Supabase clearly deserves a top spot on your list.
This is often the stage where an outside perspective becomes valuable. Not to overcomplicate the project. On the contrary. To choose the right architecture from the start, avoid false good ideas, and quickly turn a product need into a solid technical foundation.
At Scroll, this is exactly the kind of challenge we tackle daily. If you want to define a clean stack, validate an architecture, or get support from a Supabase expert, the simplest approach is to tell us about your project or request an initial estimate. This is often where the difference lies between a backend that just gets by and one that truly drives growth.
Is Supabase free?
Yes, Supabase offers a free plan with no time limit, including 500 MB of database, 1 GB of storage, and up to 2 active projects. This is sufficient for a prototype or a project in development. The Pro plan at $25/month/project takes over for production projects.
Is Supabase difficult to use?
Supabase requires a technical profile: you need to be comfortable with SQL, APIs, and database schema concepts. For a backend or full-stack developer, the learning curve is quick (a few hours). For non-technical users, Airtable or Notion databases are more accessible. Supabase’s documentation is well-structured, and the community is active.
Can Supabase be used for an AI project?
Yes, and this is one of its key strengths in 2026. The pgvector extension allows storing vector embeddings directly in the Supabase database, enabling semantic search or knowledge bases for AI agents. Edge Functions let you call AI APIs (Claude, OpenAI) server-side. Supabase is compatible with MCP (Model Context Protocol), allowing AI agents to read and write to your data in a standardized way.
What is the difference between Supabase and Firebase?
The main difference lies in the database: Supabase uses PostgreSQL (relational, SQL), while Firebase uses Firestore (NoSQL, document-based). Supabase is open source and self-hostable, whereas Firebase is proprietary (Google). Supabase has predictable per-project pricing, while Firebase charges based on usage, which can lead to unexpected costs at scale. For projects with complex business logic or data joins, Supabase is often the better fit.
Is Supabase a true alternative to Firebase?
Yes, Supabase is a genuine alternative to Firebase, especially for teams seeking a clear relational database, strong Postgres logic, and a more maintainable backend.
Can Supabase replace Airtable?
Not always directly. Airtable remains excellent for simple internal workflows and collaboration. However, as soon as a proper application backend is needed, Supabase often becomes the better choice.
Why do product teams like Supabase so much?
Because it enables fast launches without sacrificing structure. It provides a modern backend foundation with auth, storage, realtime, and Postgres database, while remaining more readable than overly fragmented architectures.
When should you hire a Supabase agency?
As soon as the project involves data modeling, user roles, security, scalability, or taking over a prototype. This is often the point where expert guidance prevents significant technical debt.
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