A managed MySQL platform built on Vitess, with database branches you can develop against and schema changes applied without locking the table.
Do not build this. Schema changes without downtime is the product, and it rests on a sharding layer that took years. Applying a migration to a large table without locking it, with a branch you can develop against and a request to merge the schema, is real engineering. At small scale you do not need it; at large scale you cannot build it. WHEN TO KEEP PAYING - Tables large enough that an ordinary migration locks them for minutes - A team where schema changes need review before they reach production WHEN NOT TO - A table of a few million rows on a modern database, where migrations complete in seconds - Small enough that SQLite on the application's own machine is the honest answer WHAT REPLACES EACH FEATURE - **Schema branching** becomes a copy of the database restored into a preview environment, anonymised on the way, with the anonymiser part of the branch script rather than something somebody remembers - **Non-blocking migrations** become discipline: **backwards-compatible in both directions across a deploy.** Add a column, deploy, write to it, backfill in batches, then read from it, and only remove the old one in a later deploy. Never two of those steps in one release. That rule removes most of the need for special tooling, and it costs nothing - Backfills in batches with a sleep between them, so a migration never holds a long transaction - An index added concurrently where the engine supports it, and never inside a deploy's critical path - **Point-in-time restore** becomes continuous archiving of the write-ahead log to object storage, which gives a recovery point measured in seconds AND THE PART NOBODY DOES - Test every migration against a restored copy of production before it goes near production. That single habit catches more than any platform feature - Rehearse a restore onto a clean machine and write down how long it took. That number is your actual recovery time, and almost nobody knows theirs THE ONE-LINE VERSION Buy it for tables too large to migrate normally. Otherwise adopt the two-deploy migration rule, which is free and solves the same problem.
What you lose
- Online schema changes on a large table, which is the hardest routine operation in database work
- Branching, so a migration is tested against production-shaped data before it lands
- Horizontal sharding through Vitess, operated by people who wrote it
If you would rather not build
- Managed Postgres from any provider
- Neon, for branching on Postgres
- Postgres in Docker with pg_dump, for small projects
What it costs
read from their page 15 Aug 2026
| Plan | Billed monthly | Billed yearly | Last read |
|---|---|---|---|
| — | $5/mo | — | 15 Aug 2026 |
Their pricing page is where these came from. Seeing a different price? Tell us.
The escape hatch
open source · no votes, no paid placement
PostgreSQL
$0The database itself; concurrent index builds cover many online changes.
postgres/postgresfree · open source
Atlas
$0Schema-as-code with migration linting that catches locking changes.
ariga/atlasfree · open source
Why this verdict
our own opinion · changed only by a person
28/100
Verdict no at 28. Running Postgres is easy; safe online schema changes at scale are what the platform is for, and the expand-and-contract pattern only gets you part way.
History
tracked since 10 Aug 2026 · nothing is ever overwritten
Questions about PlanetScale
answered from the record above
Is PlanetScale free?
No — the plan we track is $5 a month. Postgres single node from $5/month for development workloads; Metal with local NVMe starts at $50/month.
Can you replace PlanetScale by building your own?
KEEP IT. The value is the network, the data or the infrastructure. Keep paying. Replacement score 28 out of 100, build time longer than it saves. Read what you lose before you decide.
How much does PlanetScale cost?
$5 a month on Scaler — $60 a year. Recorded 14 Aug 2026.
What do you lose by replacing PlanetScale?
Online schema changes on a large table, which is the hardest routine operation in database work; Branching, so a migration is tested against production-shaped data before it lands; Horizontal sharding through Vitess, operated by people who wrote it. If any of those carry weight for you, keep paying.
Is there an open-source alternative to PlanetScale?
Yes: PostgreSQL, Atlas. The prompt on this page is for when you want it your way instead.
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