Four of the eight pages ranking for “supabase alternatives” are published by a vendor selling a competing backend. Convex, Northflank, Encore, and Puter each put their own product at the top of their own list, which takes one click to confirm.

Here’s the same list without that thumb on the scale. The alternatives to Supabase worth a serious look are Firebase, Neon (serverless Postgres), PlanetScale, Convex (the backend platform), Turso, and plain Postgres on Railway, Render, or RDS. My verdict first, so nothing below has to build up to it: if you already have a half-built app on Supabase, the likeliest right answer is to stay and fix four things. What breaks after launch is configuration, and every backend below hands that same configuration back to you under a different name.

Across the 21 third-party AI-built apps in the AxonBuild corpus, audited in June and July 2026, Authorization averaged 42.1 out of 100 across the 14 apps where the pillar applied, and Reliability and Correctness averaged 31.4 out of 100 across all 21. Neither is a pillar a backend ships for you. Every price below was read off the vendor’s own page on 29 July 2026.

A migration changes which dashboard you write your authorization rules in. It never changes who has to write them.

What are the disadvantages of Supabase that make founders start looking?

Supabase has three disadvantages founders actually hit, and none of them is security: free projects pause after one week of inactivity with a two-project cap, Pro costs $25 a month per organization, and row-level security starts switched off on any table created through a migration.

That last one lands hardest, because migrations are how AI builders create most of their tables. Supabase’s pricing page states the pause and the cap plainly enough; the surprise is usually backups. Daily backups begin at Pro with a 7-day window, and point-in-time recovery is an add-on at roughly $100 a month for those same 7 days. Supabase’s backup documentation adds a detail worth having before you shop: turning point-in-time recovery on disables the daily backups it replaces. If price is what sent you shopping, compare retention and recovery, which is where the entry plans actually part company.

Is there anything better than Supabase for an app about to launch?

A better backend than Supabase has a testable definition for an app about to launch: auth you didn’t hand-roll, an authorization model with a name, a backup you’ve restored at least once, and a migration you can afford in hours. Scored on all four at once, nothing on this list beats it.

If the question underneath your shopping is whether Supabase is safe as a platform and as you configured it, the platform half of that already has an answer. Each backend below gets the same five questions: what it is, auth, what replaces row-level security, backups, and what the move costs in work.

The pitch
What you own after the switch
Firebase: Google runs it, auth included, rules instead of SQL
Firestore security rules, a different language for the same ownership check, plus per-read billing to model
Neon: the same Postgres, without the batteries
Auth, storage, realtime, and the dashboard, all of which you now assemble yourself
PlanetScale: built for production from day one
A paid database before your first user, and no free tier to prototype against
Convex: TypeScript functions instead of a SQL surface
Every authorization check, written by hand, inside your own function bodies
Turso: SQLite lineage, cheap, fast to start
A platform mid-transition, so your operational assumptions need re-checking as it lands
Plain Postgres on Railway, Render, or RDS: no lock-in
Auth, storage, backups, and the restore drill, all of it yours to configure and prove
The pitch
Firebase: Google runs it, auth included, rules instead of SQL
Neon: the same Postgres, without the batteries
PlanetScale: built for production from day one
Convex: TypeScript functions instead of a SQL surface
Turso: SQLite lineage, cheap, fast to start
Plain Postgres on Railway, Render, or RDS: no lock-in
What you own after the switch
Firebase: Google runs it, auth included, rules instead of SQL
Firestore security rules, a different language for the same ownership check, plus per-read billing to model
Neon: the same Postgres, without the batteries
Auth, storage, realtime, and the dashboard, all of which you now assemble yourself
PlanetScale: built for production from day one
A paid database before your first user, and no free tier to prototype against
Convex: TypeScript functions instead of a SQL surface
Every authorization check, written by hand, inside your own function bodies
Turso: SQLite lineage, cheap, fast to start
A platform mid-transition, so your operational assumptions need re-checking as it lands
Plain Postgres on Railway, Render, or RDS: no lock-in
Auth, storage, backups, and the restore drill, all of it yours to configure and prove

Supabase vs Firebase: which is safer for an AI-built app in 2026?

Firebase and Supabase fail in the same place under different syntax. Supabase puts the ownership check in a Postgres policy, Firebase in a security rule evaluated per request. Both sit at the data layer, which is the right layer, and both ship open until somebody writes the check.

Here’s the shape Supabase’s row-level security guide teaches. The subselect comes straight from their own performance recommendation:

create policy "User can see their own profile only."
on profiles
for select using ( (select auth.uid()) = user_id );

And the same intent in Firestore, in the form Firebase’s rules-conditions docs use:

match /users/{userId} {
  allow read, update, delete: if request.auth != null && request.auth.uid == userId;
  allow create: if request.auth != null;
}

The model doesn’t disappear when you move. It relocates, and so does the failure: a rule that stops at request.auth != null is satisfied by any account in the project, including one a stranger created ten seconds ago.

Auth comes included and is the strongest thing Firebase hands a solo founder. Billing shape is where the real change lands. Firestore charges per document read, with 50,000 free per day and everything past that metered, so a listing page pulling a thousand documents burns a thousand reads on every render, and there is no SQL by default to fix that with a join. That is also the migration cost: every query gets rewritten, so budget this one in weeks. Firebase SQL Connect, renamed from Data Connect, adds a Postgres path through Cloud SQL, which is then billed and backed up as its own separate database. I’ve written up the Firebase side on its own, what Google secures and what is still on you, because it needs more room than a comparison row.

Supabase vs Neon: is serverless Postgres worth losing the batteries?

Neon (serverless Postgres) is Supabase with the batteries removed. Same Postgres, same row-level security, plus scale-to-zero and branching that Supabase has no direct equivalent for. The free plan gives 0.5 GB and 100 compute-unit-hours per project per month.

Paid is usage-based with no monthly minimum at all, a different shape from Supabase’s $25 plus metered compute. Recovery is a history window instead of a backup file: six hours on free, up to seven days on Launch, up to thirty on Scale. Hold that against what Supabase backups actually cover on each plan before calling it an upgrade. Auth, storage, realtime, and the generated API are yours to pick and wire, which for a solo founder is three services and a week. That’s the cost line nobody puts in the comparison table. Neon has been a Databricks company since May 2025, worth knowing and no strike against it.

If speed is why you’re shopping, settle whether Supabase is slow or your queries are first: an unpooled connection and a missing foreign-key index run exactly as slow on Neon. Whether branching changes how you work day to day is not something a pricing page can answer.

Is PlanetScale the right Supabase alternative for an app with paying users?

PlanetScale stopped issuing new Hobby databases in March 2024, retired the plan that April, and has brought no free tier back. You pay before your first user exists. Postgres went generally available there in September 2025, so the MySQL-only objection is gone.

You pay by node size: a single-node PS-5 Postgres is $5 a month, the same thing with high availability across three nodes is $15. Row-level security is available because it is still Postgres, so your existing policies port across largely intact. Point-in-time recovery reaches two days back by default. Auth isn’t included, so this is a database swap plus an auth project. Right for an app with paying customers, wrong for a prototype you’re still reshaping weekly.

Does Convex have an equivalent of Supabase row level security policies?

Convex (the backend platform) has no row-level security in the database. Authorization lives in your TypeScript function bodies, which puts the pillar that averaged 42.1 out of 100 across the 14 audited apps where it applied in the one place with no database-level net under it.

A rowLevelSecurity helper exists in the community helpers package, and it wraps those same function-level checks instead of adding an engine feature.

I audited an AI fitness app on Convex where this was concrete. Login was enforced in the React tree and on two protected page URLs, the part a demo exercises. The functions behind them asked for no proof of identity at all: getUserIdentity appeared nowhere in the repository, every function was public, and the get-plans query filtered on a userId the caller supplied instead of the verified identity. The backend URL ships in the browser, so a stranger who never logged in could read anyone’s diet and workout plans, overwrite any profile, and trigger the paid model on repeat.

The fix was one line per function, deriving the user from the verified identity. Nothing visible from outside would ever have told anyone it was missing.

Authorization written in a policy fails loudly on the wrong query. Authorization written in a function body fails silently on the query nobody wrote a check for.

Auth is included on the free plan, though the mainline path is Clerk, Auth0, or any OIDC provider, and Convex’s own auth library is still beta. Daily backups arrive with Pro at $25 per developer per month. The move costs you your SQL: tables and queries both become TypeScript functions, and every one of them needs the identity check you never had to write before.

Is Turso a safe bet while the platform is mid-transition?

Turso is the cheap-and-fast option, and the caveat sits with the platform rather than the database. Free carries 5 GB, 100 databases, and one day of point-in-time restore. Developer is $4.99 a month for unlimited databases, 9 GB, and ten days of restore. Auth isn’t included, so this is a database swap and nothing more.

The company discontinued edge replicas for new users in January 2025 and is rewriting the engine in Rust under the name Turso Database, which is still pre-1.0. Turso has said the existing cloud is not being deprecated, so this is a platform adding a second act rather than one winding down. It’s a good database, and a platform mid-move is a hard place to land an app whose operational assumptions you want to stop revisiting.

Should you run plain Postgres on Railway, Render, or RDS instead?

Plain managed Postgres is the own-everything lane and the only option here with no lock-in. You get a database and a connection string, at $6 a month for Render’s smallest paid Postgres or roughly $12 for a db.t4g.micro on RDS.

Row-level security is available because it’s still Postgres. Auth, storage, backups, and the restore drill are all yours to configure, and free tiers here expire instead of pausing: a free Render Postgres is deleted 30 days after creation plus a 14-day grace period, data included.

It suits an app that already has a real backend and used Supabase only as a database. It suits nobody who picked Supabase because auth came with it, since rebuilding auth is the largest line item in any migration and the likeliest place a new gap opens.

What none of these Supabase alternatives fix after you migrate

Migration fixes vendor problems and leaves builder problems where they were. Of the 21 third-party apps in the corpus, 17 recorded errors nowhere and at least 17 had no deploy gate of any kind. Both numbers are platform-neutral, because neither failure has anything to do with which database answered the query.

The authorization gap travels too. Nine of the 21 apps carried a genuine row-level security gap and 7 let a signed-in user read or write another customer’s data, the closest thing in this data to a Postgres-shaped number. The mechanism generalizes well past Postgres: AI generators check whether a user is logged in and almost never check whether this user owns this row. Firestore rules reproduce it. So do Convex functions, and so does a hand-written Express route on plain Postgres.

Every backend on this list will happily serve one customer another customer’s rows, if that is what your code asks it for.

So the four to fix before you consider moving are the four no migration carries for you: an authorization check that compares the row to the caller, error tracking that records a failure where you’ll see it, a deploy gate that refuses a broken build, and a restore you have actually run. A Beyond the Demo Audit walks the same twelve readiness areas no matter which backend answers the queries, which is why the report reads much the same on Firebase as on Supabase, and those four are a large part of whether your app is ready to launch at all.

If your reason for leaving is the platform, leaving works. If your reason is that something broke and you’re not sure what, the platform-versus-your-configuration split is the cheaper question to settle first.

The Supabase migration checklist, if you are switching anyway

Sometimes the move is right, and it’s more work than a database dump. This order keeps the gaps visible:

  1. 01 Export the schema and the data separately, then confirm the row counts match on the far side before you point anything at the new host.
  2. 02 Export the auth users. They are not in a normal database dump, and password hashes may not be portable to the new provider’s format at all.
  3. 03 Download every Storage file. Object storage is a separate system from the database on every platform here, so nothing in a SQL dump contains it.
  4. 04 Rewrite the RLS policies. They do not travel: Firestore rules, Convex function checks, and hand-rolled middleware are three different rewrites of the same intent.
  5. 05 Move secrets and environment variables by hand, then rotate the old ones, because the old project keeps working until you delete it.
  6. 06 Re-point every edge function, webhook, and scheduled job, and check each one fires against the new host rather than the old one.
  7. 07 Run a restore drill on the new host before you send real traffic, and time it. Restore time is the number you will want on the day you need it, and nobody has it in advance.

What a Lovable Cloud export leaves behind is the worked example of steps two through six, and its lesson is that the database was the easy part. What the Lovable database export moves and what it leaves behind runs the same restore-and-verify pass on the far side. A migration is also the one moment you touch every trust boundary at once, which makes it worth a read of what you’re carrying over before you move it.

Common questions about Supabase alternatives

Why do developers stop using Supabase?

The “why did I stop using Supabase” write-ups almost always land on cost shape or coupling instead of a fault: a bill that steps up once egress or compute crosses the free ceiling, a project that paused while nobody was looking, or an auth layer they now want to own. Almost never because Postgres let them down. Why everyone uses Supabase in the first place covers the four decisions the default makes for you, which is the same list in reverse.

Which Supabase alternative keeps automatic backups on the cheapest paid plan?

Check it one vendor page at a time, because the entry paid plan is where they differ most. Compare retention length, whether point-in-time recovery costs extra, and whether Storage files are covered at all. What a Supabase backup actually covers per plan tier is the baseline to hold each of them against.

How much does it cost to move off the Supabase free plan to Neon or Railway?

Tens of dollars a month at small size, and Neon’s usage-based plans have no monthly floor to clear. The real cost is the work: auth is the largest line item if Supabase was providing it, and re-pointing webhooks and scheduled jobs is where the surprises live. The number to budget is days of your own time.

What is the best Supabase alternative in 2026?

For an app already on Supabase with real users, the best answer as of July 2026 is usually staying, on a paid plan, with the four things above fixed. For a new project needing relational queries and nothing bundled, Neon. For one that wants auth and typed functions with no SQL surface, Convex, provided you write the identity check in every function yourself.