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Provider comparison

Neon vs PlanetScale

Neon logo

Neon

Neon is a serverless Postgres platform that fundamentally rethinks database provisioning with instant database branching (git-like copies for development), scale-to-zero compute that pauses idle databases to zero cost, and a generous free tier. It has become the default Postgres for modern serverless applications and CI/CD-driven development workflows.

PlanetScale logo

PlanetScale

PlanetScale is a serverless MySQL platform built on Vitess - the same sharding technology that powers YouTube - with a killer feature: non-blocking online schema migrations. With database branching for development workflows, strong consistency guarantees, and SOC 2/ISO 27001/HIPAA compliance, it is the MySQL choice for teams that refuse to accept planned downtime.

Dimension Neon PlanetScale
Offering score 4 3
Product categories 1 1
Countries 3 3
Free credits - -

Frequently asked questions

Neon vs PlanetScale: which is cheaper?
The comparison table marks the winner on each dimension. A green highlight means that side wins on price or capacity for that row.
Should I choose Neon or PlanetScale?
It depends on your workload. Review the per-dimension winners above against your own priorities: price, region coverage, capacity, and availability.
What is the difference between Neon and PlanetScale?
The table breaks down Neon and PlanetScale row by row on price, specs, and coverage so you can see exactly where they diverge.
Is Neon better than PlanetScale for AI workloads?
Match the winning dimensions above to your workload. For training, weigh price and capacity; for inference, weigh latency, region coverage, and throughput.
Neon vs PlanetScale: which has wider coverage?
The coverage rows compare how broadly Neon and PlanetScale operate. Pick the one with capacity in the regions closest to your users.
Can I switch from Neon to PlanetScale?
In most cases yes, though migration effort varies by product. Compare pricing and coverage above to decide whether switching is worth it for your usage.