PlanetScale vs Neon(2026)
PlanetScale is better for teams that need non-blocking schema changes. Neon is the stronger choice if scale-to-zero (no idle cost). PlanetScale is paid (from $39/month) and Neon is freemium (from $19/month).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
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PlanetScale
PlanetScale is a MySQL-compatible serverless database with branching workflows for schema changes.
Starting at $39/month
Visit PlanetScaleNeon
Neon is a serverless PostgreSQL database with branching, autoscaling, and a generous free tier.
Starting at $19/month
Visit NeonHow Do PlanetScale and Neon Compare on Features?
| Feature | PlanetScale | Neon |
|---|---|---|
| Pricing model | paid | freemium |
| Starting price | $39/month | $19/month |
| MySQL-compatible | ✓ | — |
| Database branching | ✓ | ✓ |
| Non-blocking schema changes | ✓ | — |
| Query insights | ✓ | — |
| Replication | ✓ | — |
| Serverless PostgreSQL | — | ✓ |
| Autoscaling | — | ✓ |
| Connection pooling | — | ✓ |
| Point-in-time restore | — | ✓ |
PlanetScale Pros and Cons vs Neon
PlanetScale
Neon
Deep dive: PlanetScale
When to choose PlanetScale
Choose PlanetScale if you're a MySQL shop or need non-blocking schema changes without downtime. Deployments with schema migrations run asynchronously while reads and writes continue—a genuine advantage over RDS MySQL, which blocks during ALTER TABLE. The branch and pull-request workflow for schema changes is polished, making deployments safer and faster for teams doing weekly or daily releases. Ideal for MySQL-native teams scaling to high traffic. PlanetScale is wrong if you need foreign key constraints (disabled by default for horizontal scaling), you're on a tight budget (no free tier since 2024; minimum $39/month), or you need multi-region write replicas without architecture complexity. Projects that relied on PlanetScale's free tier in 2023 now have nowhere to go—Firebase or Turso become alternatives. Also wrong if you plan to migrate off MySQL later; PlanetScale's schema changes rely on disabled foreign keys, so migrating to Postgres requires rearchitecting your data model. Teams heavily invested in normalized relational schemas with FX constraints should stay on PostgreSQL.
Real-world use case
A B2B SaaS team (~8 engineers) managing a high-traffic invoice platform (2 million monthly transactions) does weekly schema deployments on PlanetScale. One Wednesday at 2pm, they added an index to a 2TB table. Historically on RDS MySQL, this 4-6 minute lock would've cost ~$1,200 in lost transactions. On PlanetScale, the index built asynchronously in 8 minutes with zero downtime. Cost: $99/month. Real tradeoff: PlanetScale recommends disabling foreign keys for sharding, so they removed them. That decision required adding application-level validation to backfill constraints—one engineer spent a week on this. They chose PlanetScale over Neon because they were MySQL-trained; switching to Postgres would've required learning a new dialect, and losing FX constraints in Postgres wasn't necessary (they handle validation in app code anyway). The benefit: zero downtime deployments cut their deployment risk and enabled faster iteration.
Hidden gotchas
Foreign keys are disabled by default, and the docs bury this critical fact. You only discover it when your INSERT fails with 'no referenced key' and realize the constraint never existed. Re-enabling them requires migrating your entire schema and application validation logic. Their connection pooling proxy ('Connect') adds 1-2 seconds to the first query in serverless functions because routing through their proxy is slow. Switching to native MySQL connection pooling bypasses Neon's schema safety features, creating a tradeoff between performance and safety. Billing is opaque: charged per 'read units' and 'write units,' but conversion rates are unclear from the dashboard. A single slow query can spike your bill 10x overnight without warning. They grandfather old customers on better rates while charging new signups 3x higher unit pricing—this disparity is undocumented. They killed the free tier in 2024, but many tutorials still reference it, misleading new developers. Multi-region setup requires paying for multiple deployments ($39 each), effectively doubling cost—not clearly stated upfront. Connection limits are lower than expected; you'll hit them at lower concurrency than on RDS.
Pricing breakdown
PlanetScale's Scaler plan starts at $39/mo for 10 GB storage, 1 billion row reads, and 10 million row writes. The Scaler Pro plan at $99/mo doubles these limits and adds SOC 2 compliance. They removed their free Hobby plan in April 2024. Row reads beyond the plan limit cost $1 per billion, writes cost $1.50 per million. The branching feature (Git-like schema management) is included in all paid plans. For a typical SaaS with moderate write volume, expect $39-99/mo. The main cost trap: write-heavy workloads (analytics ingestion, activity feeds) can blow past the included write quota quickly.
Deep dive: Neon
When to choose Neon
Choose Neon if you're building with PostgreSQL and want serverless simplicity without managing infrastructure. It's ideal for startups and teams under 50 people who need a production database for bursty workloads—nightly batch jobs, periodic webhooks, or MVP projects. The database branching feature is a genuine productivity win; you get instant dev/staging clones without snapshot overhead. Scale-to-zero pricing works well for side projects and early-stage SaaS. Neon is wrong if you need non-PostgreSQL databases (it's Postgres-only), you're locked into MySQL/MongoDB workflows, or you have sustained high-concurrency workloads requiring hundreds of simultaneous connections. The free tier's 3 concurrent connection limit is deceptively low—Vercel serverless functions consume connections quickly, and hitting the limit causes mysterious 30-second timeouts. Teams with >100k monthly active users often need PgBouncer or paid tiers with higher connection pools to avoid bottlenecks. Also avoid Neon if you need zero vendor lock-in or have strict self-hosted infrastructure requirements for compliance.
Real-world use case
A solo SaaS founder built a link-shortening service in Next.js using Neon, starting on the free tier. Within 3 months at 12k monthly uniques and $280/month revenue, they upgraded to Neon's Pro plan ($29/month). The turning point: when testing an analytics migration, Neon's database branching saved 2 hours of manual dump/restore that would've consumed half a day on RDS. They could branch, migrate, and delete with zero data management overhead. Real stack cost: $29/month Neon + $40/month Vercel. They chose Neon over PlanetScale because they needed SQL joins for analytics queries—cheaper to compute in Postgres than denormalizing in MySQL. The surprise: during a traffic spike, their connection pool filled unexpectedly, causing 30-second request timeouts. Debugging revealed all five concurrent serverless functions held one connection each; adding one more request queued subsequent connections. They implemented a connection pool (PgBouncer, $0 cost) but lost 30 minutes discovering the root cause because Neon's error messages don't explicitly state connection exhaustion.
Hidden gotchas
The free tier's 3-connection limit is a trap: it sounds fine locally, but Vercel's serverless functions each hold a connection. Five concurrent requests fill the pool instantly, then queue and block—you'll see mysterious 30-second timeouts before realizing connections are exhausted. Neon's error messages don't explicitly say 'connection limit reached.' Branching is marketed as 'instant,' but creating a branch actually clones data. On a 100GB database, cloning takes minutes, not seconds. The UI doesn't warn upfront about clone time or storage implications, so you discover it only when your branch creation hangs. Billing is per-compute hour, not per-query. A long-running query (10-minute batch export) charges for the entire duration, even if idle. The pricing page lacks this transparency. Their free tier's auto-delete for unused branches after 30 days can catch you off-guard if you create a test branch and forget to use it. Cold starts are minimal (~50ms), but idle databases may see slower first queries due to page cache eviction—undocumented behavior that looks like Neon is broken.
Pricing breakdown
Neon offers a free tier with 0.5 GB of storage, 190 compute hours per month on a shared 0.25 vCPU instance, and up to 10 branches. This is sufficient for development, hobby projects, and small production apps with light read/write loads. The Launch plan at $19 per month includes 10 GB storage, 300 compute hours, and autoscaling up to 4 vCPUs. The Scale plan at $69 per month includes 50 GB storage, 750 compute hours, autoscaling up to 8 vCPUs, and read replicas. The Business plan at $700 per month adds 500 GB storage, 1,000 compute hours, and dedicated support. Storage beyond plan limits is $1.75 per GB per month on Launch and $1.50 on Scale. Compute beyond included hours is billed at $0.16 per compute-hour on Launch. For a typical small SaaS (5 GB database, moderate query load averaging 200 compute hours per month), the Launch plan at $19 covers the workload comfortably. A mid-size application with 25 GB of data and bursty traffic requiring 500 compute hours lands on the Scale plan at $69 plus minimal overage. The branching feature — Neon's key differentiator — is free on all plans and uses copy-on-write, so branches consume storage only for the delta from the parent. This makes preview environments and CI database branches effectively free until the delta grows. The main cost surprise is compute scaling: Neon's autoscaler can ramp up to the plan maximum during traffic spikes, and sustained high-vCPU usage burns through compute hours faster than expected. A 4-vCPU instance running continuously uses 4 compute-hours per wall-clock hour, which would exhaust the Launch plan's 300-hour allocation in 75 hours of continuous full-scale operation.
Should You Use PlanetScale or Neon?
For most teams, PlanetScale is the better default: it offers non-blocking schema changes and is paid (from $39/month). Choose Neon instead if scale-to-zero (no idle cost) matters more than removed free tier in 2024. There is no universal winner — the right pick depends on your budget, team size, and whether you value non-blocking schema changes or scale-to-zero (no idle cost) more.
Choose PlanetScale if…
- •Non-blocking schema changes
- •MySQL compatibility
- •Excellent performance
Choose Neon if…
- •Scale-to-zero (no idle cost)
- •Database branching for dev/test
- •Fast cold starts