Planetscale vs Neon database comparison
Planetscale vs Neon database comparison
PlanetScale vs Neon in 2026 is really one question stacked on another. Pick the engine first. PlanetScale wins for MySQL teams who need Vitess sharding, mature deploy requests, and predictable scale. Neon wins for Postgres teams who want preview-per-PR data branching, scale-to-zero, and the price cuts that landed after the May 2025 Databricks acquisition.
The rest of this post is the honest version of that decision, with real 2026 pricing.
The decision lives upstream: MySQL or Postgres first
Almost every "PlanetScale vs Neon" post skips the part where the choice is downstream of something bigger. You are picking an engine before you pick a vendor.
PlanetScale was MySQL-first for a decade. The platform is built on Vitess, the sharded MySQL layer that grew up inside YouTube. PlanetScale Postgres exists too, GA'd in September 2025 on a new engine called Neki, but it is younger and behaves slightly differently from native Postgres.
Neon is Postgres-only. Native, every extension, no shim layer. That single fact narrows the comparison: if you want Postgres in 2026, the real fight is Neon vs Supabase vs Render vs raw RDS, not Neon vs PlanetScale.
So the meta-rule. If MySQL is the engine, PlanetScale is the default. If Postgres is the engine, Neon is the default and PlanetScale Postgres is the contender. Once you pick the engine, the platform shortlist gets short fast.
Where PlanetScale wins
Start with the things PlanetScale does that nobody else does as well.
Vitess MySQL with horizontal sharding baked in. Vitess is the same sharding layer that runs Slack, GitHub, and YouTube. PlanetScale published benchmarks averaging around 33,000 QPS against Neon's 27,000, with materially lower p99 latency on every connection type they tested. They also publish near-linear scaling to roughly 1M QPS. If your roadmap involves write-heavy workloads that need to shard, this is a category PlanetScale owns.
Deploy Requests are real. Branch a schema, run your migrations against the branch, open a Deploy Request, get review, merge. It is the closest thing to a pull request workflow for databases. The Revert button after a deploy is also a quiet superpower; Neon does not have a native equivalent.
No foreign-key enforcement is a weird choice that turns out to be workable. PlanetScale disables FK constraints by default because Vitess shards do not enforce them across boundaries. The first time you read this in the docs it feels alarming. In practice teams handle it with application-level integrity checks and migration patterns. It is a real downside if your team relies on FKs for safety, and you should know about it before you commit.
The operational surface is the most polished in the category. Insights for query analysis, Boost for query acceleration, Browser Console, and Revert all sit inside one product. Neon's console is fine; PlanetScale's is the gold standard.
Enterprise posture. SOC2 Type II, BAA on higher tiers, dedicated infrastructure options. Mature. Big customers ship on it.
For a fuller breakdown of the platform on its own merits, see our PlanetScale review.
Where Neon wins
Now the other side, honestly.
Native Postgres, no abstraction. Every extension that runs on Postgres runs on Neon. PostGIS, pgvector, pg_cron, full-text search, the whole catalog. PlanetScale's Postgres runs through Neki and supports a curated extension set; if you depend on something exotic, check the list before you migrate.
Copy-on-write branching is the killer feature. A branch from a 50GB Neon database is ready in under a second and consumes essentially zero extra storage until you start writing. Spin up a fresh branch on every Vercel preview, run your CI tests against it, tear it down on merge. PlanetScale MySQL gives you schema-only branches; PlanetScale Postgres gives you backup-restored branches that take longer and cost more storage.
Scale-to-zero is real money saved. Neon idle compute drops to zero billing after a configurable timeout, with cold starts around 150 milliseconds. For dev environments, preview branches, low-traffic side projects, this turns the bill from "constant" to "almost nothing." PlanetScale does not scale to zero on either engine.
The Vercel and Cloudflare Workers story works without glue. Neon ships an HTTP-over-WebSocket edge proxy and a serverless driver designed for Lambda-style cold starts. If your stack is Next.js on Vercel or Workers on Cloudflare, Neon plugs in cleanly.
Post-Databricks pricing cuts are material. After the May 14, 2025 acquisition, Neon cut storage prices roughly 80% and compute 15 to 25%. The free tier is the most generous in the serverless Postgres market today: 100 projects, 100 compute-hours each. PlanetScale killed its free MySQL Hobby tier in April 2024 and never replaced it.
For the deeper Neon read, see our Neon Postgres review.
Head-to-head at a glance
| Factor | PlanetScale | Neon |
|---|---|---|
| Engine | MySQL (Vitess); Postgres on Neki since Sep 2025 | Postgres only, native |
| Branching | Schema branches (MySQL); backup-restore branches (Postgres) | Copy-on-write data branches in under a second |
| Free tier | None on MySQL; Postgres from $5/mo | 100 projects, 100 CU-hrs each, free |
| Scale to zero | No | Yes, ~150ms cold start |
| Horizontal sharding | First-class via Vitess | No native sharding |
| Edge proxy | No native HTTP driver | HTTP + serverless driver shipped |
| Lock-in | Vitess-flavored MySQL; FKs off by default | Standard Postgres, dump-and-restore portable |
| Best fit for | MySQL teams scaling writes; schema-discipline shops | Postgres-first teams; preview-per-PR; bursty workloads |
The table is honest, not slanted. PlanetScale wins three rows on operational maturity. Neon wins three on developer flow and cost. The middle rows are about engine choice, which is the meta-decision we already named.
Real 2026 pricing at three usage tiers
Pricing pages are designed to be hard to compare. Here is the boring version, three usage profiles a founder might actually have.
Hobby: 1GB data, ~10K row reads/day, no HA
- PlanetScale: No MySQL hobby tier. Postgres single-node from $5/mo, but no replica means no HA. So $5/mo, with caveats.
- Neon: Free. Inside the 100-project, 100 CU-hour limit. $0/mo for a side project that idles overnight.
Winner: Neon by a mile.
Small startup: 25GB data, ~1M row reads/day, preview branch per PR, HA expected
- PlanetScale MySQL: Scaler tier, around $39 to $59/mo for the base node, plus row-read overage and storage. Realistic landed cost: $80 to $150/mo.
- Neon: Launch or Scale plan. With autoscale, 25GB storage at $0.35/GB-mo, plus compute roughly proportional to traffic. Realistic landed cost: $40 to $90/mo, often less because of scale-to-zero on dev branches.
Winner: Neon, especially if you actually use preview branches.
Medium: 250GB data, multiple environments, sustained write load
- PlanetScale MySQL: Scaler Pro or Enterprise tier. Predictable monthly: $400 to $1,200/mo depending on replica count and read traffic. Sharding becomes a realistic option here.
- Neon: Compute usage starts to dominate the bill. 250GB at $0.35/GB-mo is around $87 in storage, plus sustained compute that often pushes total to $300 to $900/mo. Storage cuts post-acquisition help.
Winner: It depends. PlanetScale gets more predictable here; Neon stays cheaper if your workload is bursty. If you expect to shard, PlanetScale's lock-in is worth paying for.
The real point: at hobby scale Neon is free and PlanetScale costs money. At small-startup scale Neon is usually cheaper. At medium scale they converge, and the right answer depends on whether your workload is bursty or sustained, and whether you need sharding headroom.
If you are stuck between the two and want a second opinion before committing, see how Cadence compares as a third shape for the engineer who actually ships the migration. Booking by the week beats the month-long hiring loop when the question is "who runs this swap?"
For comparable engine-side analysis on the data-access layer above either of these, see our breakdown of TypeORM vs Drizzle vs Prisma vs Kysely. The ORM choice often constrains you more than the database does.
When to choose PlanetScale
- MySQL is locked in by your team, ORM, or product
- You expect to shard within 18 months and want Vitess primitives ready
- Schema-change discipline matters more than data branching for your workflow
- You want the strongest operational dashboard in the category
- Compliance posture is enterprise: SOC2 Type II, BAA, dedicated infrastructure
- You can absorb the FK-off default with application-level checks
When to choose Neon
- Postgres is the call (which it is for most net-new 2026 stacks)
- Preview-per-PR data branching changes how your team ships
- Your workload is bursty, dev-heavy, or low-traffic and benefits from scale-to-zero
- You ship on Vercel or Cloudflare Workers and want the edge proxy without glue
- You want the lowest dollar amount through 0-25GB scale
- You want optionality: standard Postgres dumps move to RDS, Supabase, or self-hosted later
If your decision is actually Neon vs Supabase rather than vs PlanetScale, our Neon vs Supabase head-to-head covers the bundled-backend trade.
What it actually costs to ship the migration
Here is the part nobody puts in the comparison post. Switching databases is not a weekend.
A real engine migration (MySQL to Postgres or Postgres to MySQL) is one to three weeks of focused work for a small SaaS. You are rewriting schema, swapping the ORM dialect, fixing the queries that depended on engine-specific syntax, redoing migrations, validating data integrity, switching connection pooling, updating CI, and running parallel for a week. Even with AI-native tooling that handles the rote 70%, the last 30% is judgment.
The platform fee is a rounding error against engineer time.
Cadence is one way to put a hard number on the migration cost. Every engineer on Cadence is AI-native by default, vetted on Cursor, Claude Code, and Copilot fluency before they unlock bookings. Pricing is fixed weekly: junior at $500, mid at $1,000, senior at $1,500, lead at $2,000. A clean engine-swap in the small-SaaS bracket is typically a senior week or two, so $1,500 to $3,000 of engineer time, plus the 48-hour free trial to confirm fit before the meter starts.
Across our 12,800-engineer pool, median time to first commit is 27 hours. For a database migration that is mostly mechanical with judgment-heavy edges, that ramp matters more than the platform's per-CU-hour rate.
The honest framing: the platform you pick is a smaller decision than the engine you pick, and the engine you pick is a smaller decision than the engineer you put on the migration. Get the engine right, then the platform falls out of it, then ship.
Want the migration done this month? Book a senior database engineer on Cadence for $1,500/week. 48-hour free trial, weekly billing, replace any week. Median time to first commit on the platform is 27 hours.
FAQ
Is PlanetScale Postgres a real Neon replacement yet?
Not for most teams. PlanetScale Postgres went GA in September 2025 on the Neki engine and behaves close to native Postgres, but extension support and branching maturity still trail Neon. If Postgres is the goal, Neon is the safer pick today. If MySQL is the goal, PlanetScale stays the default.
What happened to PlanetScale's free tier?
PlanetScale killed the free MySQL Hobby tier in April 2024. The cheapest entry today is a single-node Postgres instance at around $5 per month, with no replica. Neon still offers a real free tier: 100 projects with 100 compute-hours each.
Did the Databricks acquisition change Neon's pricing?
Yes. After the May 14, 2025 acquisition, Neon cut storage prices roughly 80% and trimmed compute 15 to 25%. Roadmap stayed Postgres-first; the Databricks Lakebase product is a separate integration that does not change how you use standard Neon.
Can I move from PlanetScale to Neon (or back) later?
Engine-switching is the hard part, not platform-switching. PlanetScale-to-another-MySQL-host or Neon-to-another-Postgres-host is a dump-and-restore weekend. Crossing the MySQL / Postgres line is a one to three week migration project, even with AI-assisted tooling.
Which is faster: PlanetScale or Neon?
PlanetScale's published benchmarks show roughly 33,000 QPS to Neon's 27,000 in their head-to-head, with lower p99 latency across every connection type they tested. In practice, your query patterns, indexes, and connection model matter more than the platform delta.