# Supabase vs Firebase in 2026: I Used Both in Production. Here's the Truth. Firebase dominated backend-as-a-service for years. Supabase arrived, added Postgres, and suddenly every indie hacker has an opinion. I have shipped products on both in 2026 and the choice is less obvious than the hype on either side makes it sound. Tags: databases, startups, typescript, nodejs Published: 2026-04-13 (updated 2026-10-22) Last year I shipped two products within six months of each other. The first used Firebase. The second used Supabase. Both are in production. Both have paying customers. And I have thoughts. The Firebase vs Supabase debate online tends to collapse into tribal camps. Firebase loyalists who remember the magic of Realtime Database circa 2018. Supabase converts who found Postgres and never looked back. Both sides talk past each other because they are optimizing for different things. I am going to try to not do that. This is a comparison based on actual production use in 2026, not benchmarks I ran in a weekend or docs I skimmed. The goal is to help you pick the right one for your specific project, not to declare a winner. > **Supabase vs Firebase, the short answer:** Pick Supabase for most web apps. Your data has relationships, you want Postgres, predictable pricing and pgvector for AI features. Pick Firebase for offline-first mobile apps, Google Cloud-heavy stacks and games. Both are free to start, but Firestore bills per document read and write, which gets expensive as traffic grows. | | Supabase | Firebase | |---|---|---| | **Database** | Postgres (relational, SQL) | Firestore (documents and collections) | | **Real-time** | Postgres changes over a WebSocket layer | Firestore listeners, mature on mobile | | **Offline mobile** | Manual work | Built into the SDKs | | **Access control** | Row Level Security policies | Security rules | | **Pricing model** | Plan plus usage (MAU, disk, egress) | Per document read, write and delete | | **Self-hosting** | Yes | No | | **Vector search** | pgvector in the same database | Firestore vector support | --- ## The Core Difference Nobody Explains Clearly Every comparison article leads with "Firebase is NoSQL, Supabase is Postgres." That is true but it undersells how differently the two platforms think about your data. Firebase's mental model is built around documents and collections. Your data lives in a tree structure. You subscribe to nodes in that tree and get real-time updates when anything in that subtree changes. It is elegant, it is fast for certain access patterns, and it makes some queries trivially easy. It also makes certain other queries nearly impossible or ruinously expensive. Supabase's mental model is relational. Tables, rows, foreign keys, joins. Everything you learned in a database course applies directly. The "real-time" layer is bolted onto Postgres's write-ahead log, which means you get real-time events on top of a relational model instead of having to contort your data model to fit a real-time system. This difference ripples through every part of the comparison below. --- ## Database Architecture and Querying The most honest thing I can say about Firebase's Firestore for complex applications is that it punishes you for having relationships. When you need data that lives in multiple collections, you either denormalize aggressively (storing the same data in multiple places and keeping it in sync manually) or you make multiple round trips. Neither is great. The Firebase team will tell you that this is by design, that NoSQL at scale works differently, and they are right. But for most applications indie hackers and developers build, the data has relationships. Products belong to users. Orders belong to customers. Comments belong to posts. Trying to model that cleanly in Firestore requires contortions. Supabase gives you Postgres. You write SQL, or you use the JavaScript client that generates SQL for you. You can do a JOIN. You can write a complex query with filters, aggregations, and ordering without restructuring your entire data model. For read-heavy applications with predictable access patterns, Firestore is genuinely fast and efficient. If your query is always "give me all messages in this channel, newest first," Firestore handles that beautifully. The problems start when the access patterns get complex. For anything with relationships, reporting needs, or business logic that benefits from SQL, Supabase wins this round clearly. --- ## Real-Time: Where Firebase Still Has the Edge Real-time is Firebase's home turf and it shows. Firestore's real-time subscriptions are battle-tested across millions of applications. The client SDKs on iOS, Android, and web are mature, the offline persistence is excellent, and the latency for real-time updates is consistently low. If you are building a mobile app where users need to see live data while potentially offline, Firebase's first-party mobile SDKs are significantly ahead of Supabase's in terms of maturity and reliability. Supabase's real-time is built on PostgreSQL's write-ahead log, using a system called Realtime. It works well for web applications. You can subscribe to table changes, filter by column values, and receive INSERT, UPDATE, and DELETE events with the row data. For most use cases, it is plenty. Where Supabase's real-time falls short is on mobile and in offline-first scenarios. The offline persistence story for mobile apps using Supabase is not as smooth as Firebase. You can make it work, but you are stitching things together compared to Firestore where it just works out of the box. If real-time is the core of your product and you are building for mobile users who might have spotty connectivity, Firebase is still the better choice. For web-first applications where real-time is one feature among many, Supabase handles it well enough. --- ## Authentication: Supabase Quietly Wins Both platforms ship auth. Both handle email/password, magic links, OAuth providers (Google, GitHub, Apple, etc.), and phone-based authentication. Neither is dramatically better than the other on features. Where they differ is on developer experience and cost. Firebase Auth's JavaScript SDK has gotten more complex over the years. The v9 modular SDK is more tree-shakeable but requires a different import style from everything that came before it. If you are picking up a Firebase project that was started a few years ago, you will likely run into code mixing v8 and v9 patterns. Supabase Auth is newer and more consistent. The client is clean, the server-side helpers for frameworks like Next.js are well-maintained, and the documentation for common patterns like protecting routes and reading the session server-side is genuinely good. On cost: Firebase Authentication is free up to 50,000 monthly active users, and phone auth is billed per SMS sent. Supabase includes 50,000 monthly active users on the free plan and 100,000 on the $25/month Pro plan, with $0.00325 per additional MAU after that. For most projects, both platforms handle auth for free. At scale, the pricing models differ, but neither will surprise you with a huge bill early on. The real differentiator is how auth integrates with your data layer. In Firebase, auth and Firestore security rules are deeply integrated. You write rules directly in the Firebase console that reference the authenticated user's UID. In Supabase, you use Row Level Security (RLS) policies in Postgres. RLS is more powerful and more flexible, but the learning curve is real. If you have never written SQL-based access control policies, expect to spend a few hours getting comfortable. Once you understand RLS, it is elegant. Until you understand it, it is a source of "why can't I read this row" bugs. If you are not committed to either Firebase or Supabase as a full backend and are just shopping for an auth layer, the decision space widens. I broke down the current state of that choice in [Better Auth vs Clerk vs Supabase Auth for 2026](/blog/better-auth-vs-clerk-vs-supabase-auth-2026/), which is the piece to read if auth is the decision driver rather than the database. --- ## Storage: Effectively a Tie Both platforms offer file storage. Firebase Storage is backed by Google Cloud Storage. Supabase Storage uses S3-compatible storage. Both support direct uploads from the client, fine-grained access control, and serving files via CDN. Both have good SDKs. Both work. Supabase Storage added private bucket support and improved transform features for images. Firebase Storage integrates well with Google's image optimization tools if you are in the Google ecosystem. For most applications, storage is not the deciding factor between the two. Pick the platform that wins on the other dimensions and you will be fine on storage. --- ## Supabase vs Firebase Pricing in 2026 Firebase's pricing model has a quirk that catches developers by surprise at scale. Firestore charges per read, per write, and per delete. Not per query. Per document operation. If you run a query that returns 1,000 documents, that is 1,000 read charges. If you have a feature that runs frequently and touches a lot of documents, your Firestore bill grows with usage in ways that are hard to predict from looking at your query structure. Supabase charges based on the plan, plus database size, storage, egress and monthly active users beyond what the plan includes. It does not charge per query. Run 1,000 queries or 1 million and the line item is the same. Here is what that looks like at three usage tiers. The list prices are from the [Supabase pricing page](https://supabase.com/pricing), the [Firebase pricing page](https://firebase.google.com/pricing) and the [Firestore pricing docs](https://firebase.google.com/docs/firestore/pricing), checked on October 22, 2026. The usage numbers are my own assumptions, so treat the totals as estimates. | | Hobby | Small production | Growth | |---|---|---|---| | **Assumed usage** | 1K MAU, under 500 MB of data, light traffic | 10K MAU, 2 GB of data, 20M reads and 3M writes a month | 100K MAU, 20 GB of data, 500M reads and 50M writes a month | | **Supabase plan** | Free, $0 | Pro, from $25 | Pro, from $25 | | **Supabase estimate** | $0 | $25 | About $27 on the included Micro compute, about $77 on a Medium instance | | **Firebase plan** | Spark, $0 | Blaze, pay as you go | Blaze, pay as you go | | **Firebase estimate** | $0 | About $8 | About $198, plus Auth above 50K MAU | How I got those numbers: - **Supabase Pro** is $25 a month and includes 8 GB of database, 100 GB of file storage, 250 GB of egress, 100,000 MAU and a $10 compute credit that covers one Micro instance. Extra disk is $0.125 per GB. At 20 GB that adds $1.50. A Medium instance is $60 a month, so after the credit it adds $50. - **Firestore** (Standard edition, us-central1) charges $0.03 per 100,000 reads, $0.09 per 100,000 writes and $0.01 per 100,000 deletes, with 1 GiB stored, 50,000 reads and 20,000 writes a day free. Storage runs about $0.15 per GiB a month. 20M reads and 3M writes is about $8 after the free quota. 500M reads and 50M writes is about $195, plus a few dollars of storage. - **Left out:** egress, index reads, Cloud Functions and deletes. Real Firebase bills run higher than these figures, not lower. Two things stand out. First, Firebase is cheaper at the small production tier. If your app does not read many documents per user, Blaze costs less than a $25 Pro plan, and that is a fair reason to pick it. Second, the gap opens fast once reads per user climb. My growth tier assumes 5,000 reads per user per month, which is not unusual for a feed or dashboard, and that alone is $150 of the Firebase bill. The free tiers differ in a different way. Spark gives you 1 GiB of Firestore, 10 GiB of monthly egress and 50,000 document reads a day. The Spark column on the pricing page now marks Cloud Storage as not applicable, so file uploads need the Blaze plan. Supabase's free plan gives you 500 MB of database and 1 GB of storage, but the project is paused after a week of inactivity. For a production app with regular users that is fine. For a side project you check in on occasionally, you might come back to a paused project. If you are bootstrapping and cost predictability matters, Supabase wins this comparison. If your reads per user are low and you want to pay as little as possible early, Firebase can be cheaper. If you want to see how the database hosting side compares, the [Prisma vs Neon comparison](/blog/prisma-vs-neon-comparison-2026/) covers a serverless Postgres alternative. --- ## Developer Experience and Local Development Running Firebase locally is better than it used to be. The Firebase Emulator Suite supports Firestore, Authentication, Functions, Storage, and several other services locally. It works, and the emulators have gotten more reliable with each release. Supabase local development has become genuinely good. The Supabase CLI lets you run a complete local stack including Postgres, Auth, Storage, and the real-time server in Docker. You can write migrations, test against local data, and deploy changes without touching production. The migration workflow integrates well with CI/CD pipelines. The tooling gap that existed two years ago has narrowed significantly. Both platforms now have workable local development stories. Where Supabase has an edge is type generation. Running `supabase gen types` gives you fully typed TypeScript interfaces for your database schema. Your client-side code gets type safety for every query, including the shape of returned rows. With [Drizzle ORM](/blog/drizzle-orm-vs-prisma-2026/), you can layer additional type safety on top of that. Firebase has TypeScript support but the document-based model makes end-to-end type safety more manual. --- ## AI and Vector Search in 2026 This is a new dimension that would not have appeared in a 2023 comparison. Both platforms now have vector search capabilities for building RAG systems, semantic search, and AI-powered features. Supabase offers pgvector, the Postgres extension for vector similarity search. Because it is just a Postgres extension, your vector embeddings live in the same database as the rest of your data. You can combine vector search with regular SQL conditions, join against other tables, and apply RLS policies. This is a meaningful advantage for AI features that need to respect user-level access control. Firebase has added vector search via its Firebase Data Connect product and Cloud Firestore vector support. It works, but the integration is less seamless than pgvector sitting natively in Postgres. If you are [building AI-powered features](/blog/becoming-an-ai-engineer-2026/) and need vector search alongside relational data, Supabase's pgvector setup is genuinely excellent. If vector search is the whole decision, the [vector database comparison](/blog/vector-database-comparison-2026/) covers the dedicated options. --- ## When to Choose Firebase Firebase still wins in specific scenarios and being honest about those is important. **You are building a mobile-first app that needs offline support.** Firebase's Firestore offline persistence and mobile SDKs are mature in a way Supabase has not caught up to yet. If your app needs to work offline and sync when connectivity returns, Firestore handles this significantly better. **Your entire infrastructure is on Google Cloud.** If you are already using Cloud Run, Cloud Pub/Sub, Cloud Messaging, or any other Google Cloud service, Firebase integrates with all of it. The authentication tokens work across services, the security rules integrate with Cloud Storage, and the ecosystem cohesion is real. **Your access patterns are simple and high-volume.** A chat application, a live leaderboard, a real-time dashboard with simple queries. Firebase is genuinely fast and reliable for these patterns and the operational overhead is minimal. **You are building a mobile game.** Firebase's Unity and gaming SDKs have years of production battle-testing. If you are shipping a mobile game, Firebase is the default for good reason. --- ## When to Choose Supabase **Your data has relationships.** If your schema has foreign keys, if you need joins, if you are building anything that looks like a traditional relational application, Supabase saves you from NoSQL gymnastics. **Cost predictability matters.** Supabase's tier-based pricing is easier to reason about as your app grows. No per-operation charges that compound unexpectedly. **You want full control and portability.** Because Supabase is built on Postgres, you can self-host it. You can take your database and run it anywhere. There is no lock-in to a proprietary data format. If Supabase the company went away tomorrow, your data would still be in standard Postgres. **You are building a TypeScript monorepo.** The type generation, the RLS policies, and the [integration with tools like tRPC or Hono](/blog/honojs-vs-express-2026/) make Supabase feel at home in a modern TypeScript stack. **You need vector search alongside your business data.** pgvector is one of the cleanest ways to add AI-powered search to an existing relational schema. --- ## Firebase to Supabase Migration Moving from Firebase to Supabase is a real project, not a weekend script. The data models are different, so you are redesigning, not copying. Supabase publishes a [firebase-to-supabase](https://github.com/supabase-community/firebase-to-supabase) toolset and migration guides for [Firestore data](https://supabase.com/docs/guides/platform/migrating-to-supabase/firestore-data) and [Firebase Auth](https://supabase.com/docs/guides/platform/migrating-to-supabase/firebase-auth). Here is the order I would do it in. **1. Design the Postgres schema first.** Firestore collections do not map one to one onto good tables. Denormalized copies of the same data should become one row plus a foreign key. Decide your tables, keys and indexes before you move any data. **2. Migrate Firestore data.** The official tool exports a collection to JSON and imports it into Postgres: ```bash node collections.js node firestore2json.js [batchSize] [limit] node json2supabase.js [primary_key_strategy] [primary_key_name] ``` Each collection becomes one table. Columns are limited to text, numeric, boolean or jsonb. Nested data needs a per-collection hook that splits it into related tables, or your own script before import. Primary key options are `none`, `smallserial`, `serial`, `bigserial`, `uuid` and `firestore_id`. Keeping `firestore_id` makes it easier to map old references. **3. Migrate users.** Export users with `firestoreusers2json.js`, then load them into `auth.users` with `import_users.js`. Passwords are the tricky part. Firebase hashes them with scrypt, and you need the project's hash parameters (`base64_signer_key`, `base64_salt_separator`, `rounds` and `mem_cost`) from the Authentication settings. Supabase's guide also describes a middleware approach that checks the old Firebase password on first login and sets it in Supabase. The guide does not cover OAuth providers, so test social login accounts before you cut over. **4. Move files.** Storage has its own migration guide. Copy the files into Supabase Storage buckets and rewrite the stored URLs in your tables. **5. Replace security rules with RLS.** Your Firestore security rules do not carry over. Write Row Level Security policies for each table and test them with a non-admin user before launch. **6. Rewrite real-time and offline code.** Replace Firestore listeners with Supabase Realtime subscriptions. If your mobile app depends on Firestore's offline persistence, plan extra time here, because that is the part Supabase does not match out of the box. **7. Run both in parallel, then cut over.** Keep Firebase live while you verify counts and read paths, then switch traffic. For the Postgres side of the cutover, [zero-downtime Postgres migrations](/blog/zero-downtime-postgres-migrations-2026/) covers the schema change patterns. If you only want to move auth, you do not have to move the database. [Better Auth vs Clerk vs Supabase Auth](/blog/better-auth-vs-clerk-vs-supabase-auth-2026/) is the place to compare options first. --- ## The Honest Verdict In 2026, Supabase is the better default for most web applications. That is not a slam on Firebase. Firebase is excellent at what it does. The problem is that "what it does" is increasingly a subset of what most applications need. The NoSQL-only data model was a trade-off that made more sense when Firebase was pioneering the real-time BaaS space. Today, Supabase gives you Postgres with real-time on top, and for most applications that is a strictly better deal. Firebase holds its ground on offline-first mobile, Google Cloud integration, and gaming. Those are real use cases with real users. If your project fits one of those categories, Firebase is still the right call. If it does not, Supabase is where I would start today. The Postgres foundation pays dividends as your application grows in ways that are hard to appreciate when you are spinning up an MVP. The pricing model is easier to predict. The type safety story is better. And the SQL you already know transfers directly. The comparison I keep coming back to is this: Firebase is optimized for getting your first user. Supabase is optimized for keeping your thousandth one. Pick based on where you think you are going to spend most of your time. --- ## Frequently Asked **Is Supabase better than Firebase?** For most web apps, yes. Supabase gives you Postgres, SQL joins, Row Level Security, pgvector and a path to self-hosting. Firebase is better for offline-first mobile apps, games and stacks already built on Google Cloud. **Is Supabase cheaper than Firebase?** Not always. At a small production tier (10K MAU, 20M reads a month) my estimate is about $8 on Firebase against $25 on Supabase Pro. At 500M reads a month Firestore comes to roughly $195 against about $27 to $77 on Supabase. The more reads per user, the better Supabase looks. **Is Firebase vs Supabase a NoSQL vs SQL choice?** Yes, mostly. Firebase's Firestore stores documents and collections. Supabase is Postgres with tables, foreign keys and joins. If your data has relationships, SQL saves you from denormalizing. **Can I migrate from Firebase to Supabase?** Yes. Supabase maintains scripts for Firestore data and Firebase Auth users, and guides for Storage. Expect to redesign your schema, rewrite security rules as RLS policies, and rework any real-time or offline code. **Does Supabase work offline like Firebase?** Not out of the box. Firestore's offline persistence in the mobile SDKs is more mature. With Supabase you stitch offline support together yourself. **Is Supabase open source?** It is built on Postgres and can be self-hosted, so your data stays in a standard Postgres database. Firebase cannot be self-hosted.