A backend-as-a-service bundles the parts every product needs and no product differentiates on: a database with an API, authentication, file storage, server-side functions, and realtime sync. Choosing well means your first six months go into the product. Choosing badly means you meet the platform's ceiling mid-roadmap, with your data model and auth tokens held hostage.
This ranking is for founders and product teams deciding what to ship on: an MVP this quarter, a SaaS that has to survive growth, or an internal tool that should not need a platform team. We ranked five serious platforms. The order optimizes for what most product teams need in 2026, and each verdict states exactly when a lower-ranked option beats the winner.
TL;DR
For most products in 2026, the best backend-as-a-service is Supabase. You get a full Postgres database per project with auto-generated APIs, auth, storage, edge functions, and realtime, under an Apache 2.0 license with a real self-hosting path, from free to $25/month before usage. Pick Firebase when the product is mobile-first and already lives in the Google ecosystem: its client SDKs and operational track record remain unmatched, and the new SQL Connect path softens the old Firestore lock-in. Pick Convex when the app is realtime TypeScript end to end, Appwrite when self-hosting an all-in-one backend is the requirement, and PocketBase when the whole backend should be one file on one server.
How this ranking was made
Verified July 6, 2026
We ranked for product teams choosing the platform their application will live on, not for hobby projects or for raw cloud primitives. Every price, quota, version number, and license on this page was pulled from the vendors' live pricing pages, documentation, and GitHub releases, all fetched on the verification date shown here; nothing is quoted from memory or from third-party listicles. BearPlex builds and operates client systems on Supabase in production, which is where the operational judgments come from. No vendor paid for placement, and BearPlex sells none of these products: they are platforms we build on. We excluded AWS Amplify and direct Google Cloud assembly, which are cloud-platform toolchains rather than integrated backends, and we excluded the long tail of smaller hosted backends that lack the ecosystem depth a multi-year product bet requires.
Data model and query power
What engine sits underneath, how far its query model carries a real product, and what happens when requirements outgrow simple reads and writes.
Product surface
How much of a production backend is actually covered: auth, storage, functions, realtime, scheduling, and how well the pieces compose.
Exit path and lock-in
License, self-hosting story, and data portability: what leaving costs after two years of production data and auth accounts.
Cost shape at product scale
The free tier for validation, the paid entry point, and how the bill behaves as users and data grow, from the vendors' published pricing on the verification date.
Operational maturity and ecosystem
Production track record, SDK coverage, community size, and how much confidence the platform earns as a multi-year dependency.
All 5 at a glance
Dimension
#1 Supabase
#2 Firebase
#3 Convex
#4 Appwrite
#5 PocketBase
License / model
Apache 2.0 + managed cloud
Proprietary Google service
FSL-1.1-Apache-2.0 (Apache 2.0 after 2 years per release) + managed cloud
BSD-3-Clause + managed cloud
MIT, self-run only
Database engine
Full Postgres per project
Firestore + Realtime Database; Postgres via SQL Connect
Reactive document store, ACID, TypeScript queries
Document-style collections API
Embedded SQLite
Self-hosting
Yes, first-class
No
Yes (source-available; most cloud features included)
Yes, first-class
Yes, that is the product
Realtime
Broadcast, presence, Postgres change streams
Firestore listeners, Realtime Database
Live by default: subscribed queries auto-update
Event subscriptions across products
Built-in realtime subscriptions
Free tier (verified July 2026)
50K MAUs, 500 MB DB, 500K function invocations
50K auth MAUs, 1 GiB Firestore, 50K reads/day
1M function calls, 0.5 GB DB storage
75K MAUs, 2 GB storage, 750K executions
Everything free; you pay for the server
Paid entry point
Pro $25/mo + usage
Blaze: pure pay-as-you-go
Professional $25 per developer/mo
Pro from $25/mo
None (no hosted offering)
Standout fact (verified July 2026)
106K+ GitHub stars; pgvector and SAML SSO built in
SQL Connect: GraphQL over Cloud SQL Postgres, 250K ops/mo free
v1.9.5; ships its own messaging and web hosting (Sites)
v0.39.6; the entire backend is one Go binary
The ranking
1
Supabase
Supabase
A full Postgres database with auth, storage, functions, and realtime wrapped around it, open source with a real exit path.
Supabase wins because it made the correct architectural bet: instead of inventing a proprietary data store, every project is a genuine Postgres database with auto-generated REST and GraphQL APIs on top. That single decision compounds everywhere. Your data model is SQL, tenant isolation is row-level security, complex queries are joins rather than client-side gymnastics, and the entire Postgres extension ecosystem (including pgvector for AI features) comes along free. The platform surface is now legitimately broad, and the core of it is generally available: auth with SAML SSO and MFA, S3-compatible storage with a CDN and image transforms, Deno-based TypeScript edge functions, and realtime with broadcast, presence, and Postgres change streams. The Apache 2.0 license and self-hosting path mean the exit is real, and at 106K GitHub stars the ecosystem risk is low. Honest caveats: free projects pause after a week of inactivity, heavier workloads need paid compute add-ons on top of the Pro plan, and newer pieces are not all GA yet (cron and branching are in beta, queues in public alpha). None of that changes the verdict for a team starting today.
Best for
SaaS products where the data model is relational and will grow real query complexity
Teams that want a managed platform now but insist on a self-hosting or migration path later
AI-adjacent products that want embeddings (pgvector) living next to relational data
Not for
Mobile-first apps whose team is already deep in Google tooling and Firebase SDKs
Products that need strict compliance features on a budget: SOC 2 and ISO 27001 report access sit on the $599/month Team tier
Apps that are purely realtime-collaborative, where Convex's reactive model is a tighter fit
License
Apache 2.0 (106K+ GitHub stars)
Database
Full Postgres per project, auto-generated REST and GraphQL APIs
Free tier: 50,000 MAUs, 500 MB database, 1 GB file storage, 500K edge function invocations, capped at 2 active projects that pause after a week of inactivity. Pro is $25/month including 100K MAUs, 8 GB disk, 100 GB file storage, 250 GB egress, and a $10 compute credit; usage bills beyond that (for example $0.00325 per extra MAU, $0.125/GB disk). Compute add-ons run from Micro at $10/month to 16XL at $3,730/month. Team is $599/month with SOC 2 and ISO 27001 report access; HIPAA is a paid add-on.
2
Firebase
Google
The most battle-tested BaaS in existence: unmatched mobile SDKs and Google-scale operations, with data-model lock-in as the price.
Firebase has been running production backends since before the category had a name, and for mobile-first products it is still the strongest offering: the client SDKs, crash-free session tooling, and integration with the wider Google stack are what a decade of iteration buys. The free quotas are genuinely usable (50K auth MAUs, 50K Firestore reads and 20K writes per day, 2M function invocations per month on Blaze), and pay-as-you-go pricing means a small app costs near zero. The historical knock, that Firestore's document model forces you to shape data around queries and makes complex reporting painful, now has an official answer: Data Connect, recently rebranded SQL Connect, puts a GraphQL layer over Cloud SQL for PostgreSQL with type-safe SDKs for Kotlin, iOS, Flutter, and web, and includes 250K operations per month free on Blaze. It sits at rank two anyway, for two structural reasons. It is proprietary with no self-hosting path, so the exit from Firestore remains an ETL project plus an auth migration. And the pay-as-you-go meter that is delightful at small scale becomes a bill you have to actively engineer against once reads climb, because every inefficient listener is money.
Best for
Mobile-first products on iOS, Android, or Flutter where SDK quality dominates the decision
Teams already operating on Google Cloud who want one vendor and one bill
Apps that lean on the wider Firebase suite: analytics, crash reporting, messaging, remote config
Not for
Products with heavy relational reporting needs building on Firestore alone
Organizations with self-hosting, data-sovereignty, or vendor-exit requirements
Cost-sensitive read-heavy workloads, where per-read billing compounds
Model
Proprietary Google service (no self-hosting)
Databases
Firestore, Realtime Database, and Postgres via SQL Connect (Cloud SQL)
Free quotas
50K auth MAUs, 50K Firestore reads/day, 2M function invocations/month
SQL Connect
GraphQL over Cloud SQL for PostgreSQL, type-safe SDKs (Kotlin, iOS, Flutter, web)
Realtime
Firestore listeners; Realtime Database at 200K connections per database on Blaze
Pricing
Spark plan is free with no payment method: 50K auth MAUs, 1 GiB Firestore storage, 50K reads and 20K writes per day. Blaze is pure pay-as-you-go and includes the Spark quotas: functions at $0.40 per million invocations after 2M/month, Realtime Database storage at $5/GB after 1 GB, hosting transfer at $0.15/GB after 360 MB/day, phone auth billed per SMS. SQL Connect includes 250K operations per month free, then $0.90 per million, plus Cloud SQL costs after a 3-month trial.
3
Convex
Convex
The reactive TypeScript backend: queries that update live, ACID transactions, and end-to-end types, when your app fits its model.
Convex is the most interesting programming model in this roundup. Queries, mutations, and actions are TypeScript functions running next to the data; every client subscribed to a query receives updates automatically when underlying data changes; mutations are ACID with optimistic concurrency control and run deterministically. For realtime collaborative apps, dashboards, and anything where UI state mirrors server state, this eliminates the entire cache-invalidation and websocket-plumbing layer that other platforms make you build. Scheduling, file storage, full-text and vector search are built in, and auth integrates with Clerk, Auth0, and WorkOS (Convex's own auth library exists but is still in beta). The trade-offs are real. The backend is source-available under FSL-1.1-Apache-2.0, not open source on day one (each release converts to Apache 2.0 after two years), though the self-hosted build includes most cloud features, dashboard and CLI included. Pricing is per developer ($25/month each on Professional), which is unusual in this category and worth modeling for larger teams. And the model is opinionated: if your team is not TypeScript-first or your workload is batch-heavy rather than reactive, you are paying for machinery you will not use.
Best for
Realtime collaborative apps where live-updating queries replace an entire sync layer
TypeScript-first teams that want end-to-end type safety from schema to client
Products where transactional correctness under concurrent writes actually matters
Not for
Teams that need raw SQL access or an existing relational reporting stack
Polyglot backends: the server-side model is TypeScript
Buyers who require a pure open-source license today rather than in two years per release
License
FSL-1.1-Apache-2.0 (each release becomes Apache 2.0 after two years)
Model
Reactive TypeScript queries, mutations, actions; ACID with optimistic concurrency
Engine
Rust backend, TypeScript runtime
Self-hosting
Source-available; self-hosted build includes most cloud features, dashboard, and CLI
Built in
Scheduling, file storage, full-text and vector search
Pricing
Free Starter tier: 1M function calls, 0.5 GB database storage, 1 GB file storage, 20 GB-hours of action compute. Professional is $25 per developer per month with 25M function calls ($2 per additional million), 50 GB database storage, 100 GB file storage, and 10,000 concurrent sessions. Business and Enterprise start at a $2,500 monthly minimum.
4
Appwrite
Appwrite
The self-host-first all-in-one: auth, databases, storage, functions, messaging, and hosting under BSD-3-Clause, with a maturing cloud.
Appwrite covers the widest product surface of any open-source option here: auth with MFA, databases, storage with compression and encryption, serverless functions, realtime events, a full messaging service, and Sites, its own web-hosting product pitched as an open-source Vercel alternative. The SDK matrix is the broadest in this roundup, spanning web frameworks, Flutter, React Native, native Apple and Android, and a dozen server languages. It ships steadily (1.9.5 landed July 1, 2026), the BSD-3-Clause license is as permissive as they come, and self-hosting is the platform's origin story rather than an afterthought, which makes it the strongest pick when the backend must run on your own infrastructure. The cloud Pro tier is aggressive on paper: from $25/month with 200K MAUs, 2 TB bandwidth, 150 GB storage, and 3.5M function executions, allowances that beat Supabase's Pro tier on raw quota. What keeps it below the top three is depth against breadth: its document-style database API does not give you the relational query power of real Postgres, and the managed cloud has a shorter production track record than Supabase or Firebase. Choose it deliberately for self-hosted deployments or SDK reach, not by default.
Best for
Organizations that must run the backend on their own infrastructure with a permissive license
Teams shipping across many platforms at once who want one SDK family everywhere
Products that will actually use the bundled messaging and hosting rather than composing external services
Not for
Data models that need real SQL: joins, window functions, and the Postgres extension ecosystem
Teams that want the longest possible managed-cloud track record behind their platform bet
Web, Flutter, React Native, Apple, Android, plus a dozen server languages
Self-hosting
Yes, first-class (the project's origin)
Pricing
Free tier: 75K MAUs, 5 GB bandwidth, 2 GB storage, 750K function executions, 2 projects, with projects pausing after a week of inactivity. Pro is from $25/month with 200K MAUs, 2 TB bandwidth, 150 GB storage, 3.5M executions, and unlimited databases, buckets, and org members; additional projects are $15 each, and overages include $3 per 1,000 MAUs and $2 per million executions. Enterprise (custom pricing) adds SOC 2, HIPAA and BAA, uptime SLAs, and custom log retention; SSO is listed as coming soon.
5
PocketBase
Open-source project (Gani Georgiev and contributors)
The whole backend in one file: a single Go executable with SQLite, auth, realtime, storage, and an admin UI, free forever.
PocketBase is the honest minimalist of this list, and for a surprising number of projects it is all the backend they will ever need. One statically linked Go binary gives you an embedded SQLite database with realtime subscriptions, auth with email/password and OAuth2 (Google, Facebook, GitHub, GitLab), file storage local or S3-compatible, and a built-in admin dashboard. Deployment is copying a file to a $5 VPS and running it; there is no cluster, no managed service, and no bill beyond the server. It is MIT licensed, actively maintained (v0.39.6 as of this verification), and extensible as a Go framework or through JavaScript hooks when the REST API is not enough. The constraints are exactly what the architecture implies. SQLite plus a single process means one server: this scales further vertically than most people expect, but there is no horizontal story, no managed offering, and operations (backups, upgrades, monitoring) are entirely yours. The maintainers also state plainly that backward compatibility is not guaranteed before v1.0.0. Use it for what it is: the fastest way to give a small product a complete backend you fully own.
Best for
Side projects, internal tools, and small products that fit comfortably on one server
Developers who want full ownership with zero platform bill and zero lock-in
Go or JavaScript teams happy to extend the binary with hooks when needed
Not for
Products that need horizontal scaling, managed operations, or a hosted option
Teams that require a stability guarantee: pre-1.0 releases can break compatibility
Compliance-heavy deployments that expect vendor-managed SOC 2 style attestations
License
MIT (59K+ GitHub stars)
Version
v0.39.6 (verified July 2026), pre-1.0
Architecture
Single Go executable, embedded SQLite, realtime subscriptions
Features
Auth with OAuth2, file storage (local or S3), admin dashboard, Go/JS hooks
Scaling
Vertical only: one process, one server
Pricing
Free and MIT licensed. There is no hosted offering: the total cost is the server you run it on, from a $5/month VPS upward, plus your own time for backups, upgrades, and monitoring.
When none of these is the answer
A BaaS earns its keep while your backend is mostly the standard parts: auth, CRUD, files, realtime. It stops earning it when the product is the backend. Heavy domain logic that outgrows row-level-security rules and short-lived functions, long-running or compute-heavy background processing, strict data-residency and audit requirements, or integration surfaces that need to speak to legacy systems on their terms: at that point the platform's conveniences become the constraint, and teams end up building a shadow backend around the BaaS anyway.
The usual answer is not all-or-nothing. Most of the custom backends BearPlex ships still use a managed platform for the commodity layers (Supabase for Postgres, auth, and storage is a frequent choice) with purpose-built services for the parts that differentiate the product. If you are weighing a platform against a custom build, the honest comparison is total cost over two years, not month one. Scope it properly before you commit either way.
For most new products, yes, and the reason is the database. Supabase gives you real Postgres: SQL, joins, row-level security, extensions, and a data model that survives requirement changes, all under an open-source license with a self-hosting exit. Firebase still wins for mobile-first teams invested in Google tooling, where its SDK maturity and the surrounding suite (analytics, crash reporting, messaging) outweigh the data-model constraints. Firebase's SQL Connect narrows the gap by putting GraphQL over Cloud SQL for PostgreSQL, but it is a newer layer on a proprietary platform rather than the platform's foundation.
For validating a product, all five work, but they cap differently. Supabase's free tier covers 50,000 MAUs and 500 MB of Postgres, with projects pausing after a week of inactivity. Appwrite's free tier is the most generous on users at 75,000 MAUs with 750K function executions. Firebase's Spark plan needs no payment method and includes 50K auth MAUs and 50K Firestore reads per day. Convex includes 1M function calls monthly. PocketBase is entirely free forever; you just pay for a small server. If the free tier is the whole point, PocketBase on a cheap VPS is the only option with no usage cliff.
All three, with different flavors. Appwrite is self-host-first by heritage and BSD-3-Clause licensed. Supabase is Apache 2.0 with a first-class self-hosted deployment, though some managed-platform conveniences are cloud-only. Convex is source-available under FSL-1.1-Apache-2.0, and its self-hosted build includes most cloud features, dashboard and CLI included; each release converts to plain Apache 2.0 two years after it ships. Firebase has no self-hosting path at all, and PocketBase is the inverse case: self-hosting is the only way to run it.
For the right project, yes, with eyes open. It is actively maintained, MIT licensed, and a single Go binary with SQLite handles far more traffic on one decent server than most internal tools and small products will ever see. The honest caveats: the maintainers state that backward compatibility is not guaranteed before v1.0.0, there is no managed offering or horizontal scaling story, and operations are entirely yours. Treat it as a superb single-server backend, not a growth platform.
Harder than leaving any other platform on this list, which is exactly why the question matters before you commit. Firestore's document model tends to shape your application code around its query constraints, so an exit is a data remodel plus an ETL, not just an export. Auth migration is workable (Firebase provides password-hash export), but re-verifying flows across providers is real work. By contrast, leaving Supabase is a Postgres dump, and PocketBase or Appwrite data lives on infrastructure you already control. If exit cost is a board-level concern, weight it heavily in the initial choice.
When your application is fundamentally reactive: collaborative editing, live dashboards, multiplayer state, chat, anything where many clients must see consistent data change in real time. Convex's subscribed queries update automatically with ACID guarantees, which replaces the cache-invalidation and websocket layer you would otherwise build yourself on any other platform. If your team is TypeScript-first and the workload fits, it is the better tool. If you need raw SQL, polyglot server code, or a conventional relational stack, Supabase remains the safer default.
Entry pricing clusters tightly: Supabase Pro and Appwrite Pro both start at $25/month, Convex Professional at $25 per developer per month, and Firebase Blaze bills pure usage from zero. The divergence happens under load, and the shape of the meter matters more than the base price. Firebase bills per operation, so read-heavy apps must engineer against the meter. Supabase's costs step up through compute add-ons ($10 to $3,730 per month) plus usage. Appwrite's Pro quotas (2 TB bandwidth, 3.5M executions) are the roomiest before overages. Model your specific read/write profile against the published rates before committing; the rankings here assume typical product workloads.
When the backend is the product: complex domain logic, heavy background processing, strict residency or audit demands, or deep integrations with systems that dictate their own terms. The practical pattern is usually hybrid rather than either-or: keep a platform for commodity auth, database, and storage, and build custom services only for what differentiates you. Going fully custom doubles down on flexibility at the cost of rebuilding solved problems, so it should be a deliberate decision priced over years, not a default.