How PlanetScale's Postgres-and-Vitess performance play compares with Neon's serverless, agent-ready Postgres, with current pricing and features as of 2026-07-29.
PlanetScale and Neon are both fully managed cloud database platforms that speak PostgreSQL, yet they were built around different bets. PlanetScale pairs managed Postgres with Vitess, the MySQL-compatible, horizontally sharded engine created at YouTube, and runs both on locally-attached NVMe storage. Neon is serverless Postgres, now a Databricks company, that autoscales with traffic and ships a set of application and agent primitives around the database.
The figures and features here come from each vendor's own documentation and pricing pages and reflect what those pages showed on 2026-07-29. Every price or limit is dated and traceable to the page it came from. Pricing on both platforms changes, so verify the current numbers on the vendor sites before you commit.
At a glance
In short
Both PlanetScale and Neon are managed, PostgreSQL-compatible database platforms with branching, but they solve different problems. Choose PlanetScale if you need a MySQL-compatible Vitess engine with horizontal sharding, locally-attached NVMe performance (Metal), or a high-availability cluster with a 99.99% SLA. Choose Neon if you want serverless Postgres that autoscales with traffic plus bundled app and agent primitives (managed auth, functions, object storage, and an AI Gateway). Prices and features cited are as of 2026-07-29.
Head to head
Key differences side by side; the stronger option is tinted green.
| Feature | PlanetScale | Neon |
|---|---|---|
| Database engines offered | PostgreSQL and MySQL-compatible (Vitess) | Serverless PostgreSQL |
| Horizontal sharding / scale-out engine | Vitess horizontal sharding across many nodes via VTGate | Not covered on the pages we read (2026-07-29) |
| Scaling model | Choose a cluster size; autoscaling storage on the EBS option | Advanced automatic compute autoscaling with traffic |
| Database branching | Branching, deploy requests, non-blocking schema changes | Instant branching |
| Storage architecture | Local NVMe (Metal, marketed as unlimited IOPS) or network-attached EBS | Storage-compute separation (Lakebase architecture) |
| High availability | 1 primary + 2 replicas across 3 AZs; 99.99% SLA on HA config | Not covered on the pages we read (2026-07-29) |
| Bundled app primitives (auth, functions, object storage, AI gateway) | Not covered on the pages we read (2026-07-29) | Managed auth, serverless functions, S3-compatible object storage, AI Gateway |
| Bring-your-own-cloud / deployment | Multi-tenant, single-tenant, or your own AWS/GCP (PlanetScale Managed, Enterprise) | Not covered on the pages we read (2026-07-29) |
| Agent / MCP tooling | MCP support; agent-based optimization messaging | MCP, AI Gateway, npx neon init, neon inspect db |
| Starting price (self-serve) | Postgres single node from $5/mo; Metal from $50/mo (2026-07-29) | Not covered on the pages we read (2026-07-29) |
| Company / backing | PlanetScale (maintainers of Vitess) | A Databricks company |
Feature matrix
| Feature | PlanetScale | Neon |
|---|---|---|
| Managed PostgreSQL | ✅ | ✅ |
| Database branching — PlanetScale documents branching plus deploy requests and non-blocking schema changes; Neon markets instant branching (as of 2026-07-29). | ✅ | ✅ |
| Autoscaling — Neon advertises advanced compute autoscaling; PlanetScale's pricing page describes autoscaling storage on its EBS option (2026-07-29). | 🟡 | ✅ |
| MCP / agent integration — Both expose Model Context Protocol; Neon adds an AI Gateway and CLI/agent tooling (2026-07-29). | ✅ | ✅ |
| Self-serve sign-up (no sales call) — PlanetScale's Base plan requires no contract or sales interaction; Neon offers self-serve sign-up and one-command setup (2026-07-29). | ✅ | ✅ |
✅ full · 🟡 partial/paid · ❌ not supported
Pricing
Confirm current pricing on each vendor's site.
PlanetScale Postgres — Single node (Base)From $5/mo (as of 2026-07-29)
Development and low-traffic production workloads
Resource-based Base plan; upsize or downsize anytime, no sales call
100 GB egress included, then $0.06/GB
PlanetScale pricingPlanetScale Postgres — High Availability (PS-5 example)$15/mo (as of 2026-07-29)
1 primary + 2 replicas across 3 availability zones
PS-5: 1/16 vCPU, 512 MB memory, 10 GB storage per node (3 nodes)
99.99% SLA on the HA configuration
100 GB egress included, then $0.06/GB
PlanetScale pricingPlanetScale MetalFrom $50/mo (as of 2026-07-29)
Locally-attached NVMe drives, marketed as unlimited IOPS
High-performance high-availability clusters
Runs Postgres or Vitess
PlanetScale pricingPlanetScale Vitess (Base)Resource-based, priced by cluster size (as of 2026-07-29)
MySQL-compatible with horizontal sharding for massive scale
Runs on network-attached storage or PlanetScale Metal
Self-serve Base plan
PlanetScale pricingPlanetScale EnterpriseCustom (contact sales)
Bring your own cloud — your AWS or GCP account (PlanetScale Managed)
Migration assistance and private Slack support
Additional regions and architecture consultation
Available via AWS and Google Cloud marketplaces
Contact PlanetScaleNeonSee neon.com/pricing for current tiers
Serverless PostgreSQL with autoscaling and instant branching
Bundled managed auth, functions, S3-compatible object storage, and AI Gateway
MCP and agent tooling (npx neon init, neon inspect db)
Specific plan prices and limits are published on Neon's pricing page
Pros & cons
PlanetScalePros
Two engines: managed PostgreSQL plus MySQL-compatible Vitess with horizontal sharding for very large workloads
Vitess lineage powers major sites (Slack, GitHub, HubSpot, Etsy, Block) per planetscale.com (2026-07-29)
PlanetScale Metal uses locally-attached NVMe, marketed as unlimited IOPS, for high performance
High availability by default: 1 primary + 2 replicas across 3 AZs, 99.99% SLA on the HA config
Transparent, self-serve Base pricing from $5/mo for Postgres (2026-07-29); Enterprise supports bring-your-own-cloud
Cons
Pricing is tied to provisioned resources; the lowest listed Postgres option is $5/mo and Metal starts at $50/mo (2026-07-29)
Vitess sharding concepts (VTGate, shard keys) are more than a small app needs
Bring-your-own-cloud, migration help, and additional regions require the Enterprise plan and a sales conversation
NeonPros
Serverless PostgreSQL with advanced autoscaling that grows and shrinks with traffic
Instant branching and instant restore for fast dev/test and recovery workflows
Bundled app primitives: managed auth, serverless functions, S3-compatible object storage, and an AI Gateway
Agent-native tooling: MCP support, one-command setup (npx neon init), and neon inspect db
Backed by Databricks
Cons
Built around PostgreSQL; if you specifically need MySQL or Vitess-style horizontal sharding, PlanetScale is the more direct fit
The breadth of bundled primitives can be more surface area than you need if you only want a plain database
Check neon.com/pricing for current tiers, quotas, and limits before committing
PlanetScale and Neon: the public release record on 2026-07-28
| Measured on 2026-07-28 | PlanetScale planetscale/cli | Neon neondatabase/neonctl |
|---|---|---|
| Latest release | v0.307.0, published 2026-07-24 | v2.27.0, published 2026-06-22 |
| Commits, weekly average | 18.8 a week (225 commits in the 12 weeks to 2026-07-28) | 10.8 a week (129 commits in the 12 weeks to 2026-07-28) |
| Most recent commit | 2026-07-27 | 2026-06-23 |
In the twelve weeks to 2026-07-28, PlanetScale's command-line client averaged 18.8 commits a week while Neon's neonctl averaged 10.8, figures taken from each project's public source repository on GitHub, where the commit history is openly readable; those same repositories recorded PlanetScale's latest release, v0.307.0, published 2026-07-24, against Neon's v2.27.0 from 2026-06-22, with the Neon tool additionally distributed through the npm package registry. Read together, these values observed on 2026-07-28 suggest that, over this window, the PlanetScale client saw more frequent and more recent development activity than the Neon client, which someone weighing the two tools might treat as a rough indication of maintenance pace. They establish nothing beyond that: they are not a measure of reliability, support responsiveness, or product quality, and they say nothing about how many people actually use either tool.
Where these numbers come from: on 2026-07-28 (2026-07-28T16:45:14Z) we called the public endpoints listed below and recorded what they returned. Nothing here is taken from either vendor's marketing pages, and anyone can repeat the same calls. Repository figures describe the named repository — for a closed-source platform that is its official CLI or SDK, not the platform itself. What these figures do not tell you: Commit counts include merges, dependency bumps and documentation changes, and a monorepo will always show more commits than a single-purpose repository, so this measures how busy the named repository is — not progress, quality, or how much of it reaches the product. The commit date says the repository is being worked on, nothing about what changed. None of them measures reliability, support or how either product feels to use.
PlanetScale — GitHub REST API · GitHub releases API · the official command-line client, measured instead of the serverless driver so both sides are the same kind of tool
Neon — GitHub REST API · GitHub releases API · the official command-line client, measured instead of the serverless driver so both sides are the same kind of tool
PlanetScale and Neon at a glance
PlanetScale presents itself as a high-performance relational database platform. According to planetscale.com (2026-07-29), it offers two engines, PlanetScale Postgres and Vitess (MySQL-compatible), both running on locally-attached NVMe drives that the company markets as delivering "unlimited IOPS" and ultra-low latency. Every cluster is deployed with one primary and at least two replicas across three availability zones for high availability.
Neon describes itself as "the Postgres backend designed for apps and agents" (neon.com, 2026-07-29). It is serverless Postgres with storage-compute separation, which Neon calls its Lakebase architecture, plus advanced autoscaling, instant branching, and instant restore. Around the core database, Neon bundles managed authentication, serverless functions, S3-compatible object storage that branches, and an AI Gateway for calling multiple models through one API. Neon is a Databricks company.
In short, PlanetScale leans toward raw performance and horizontal scale-out, including MySQL through Vitess, while Neon leans toward a serverless Postgres platform with bundled application and agent primitives, aimed at app and agent developers.
Database engines and scaling
The engine choice is the clearest dividing line. PlanetScale supports both PostgreSQL and MySQL through Vitess. Vitess scales MySQL horizontally with explicit sharding, distributing data across many nodes behind a single connection routed through a component called VTGate. PlanetScale states that Vitess was built at YouTube to scale MySQL to petabytes on 70,000 nodes across 20 data centers, and that it now powers databases at Slack, GitHub, HubSpot, Etsy, and Block, among others (planetscale.com, 2026-07-29). For workloads that outgrow a single large instance, that horizontal-sharding path is PlanetScale's signature capability.
Neon's page centers on serverless PostgreSQL that scales automatically. Neon advertises advanced autoscaling that sizes instances up and down with load, along with the ability to scale and restore multi-terabyte databases quickly (neon.com, 2026-07-29). Its architecture separates storage from compute, which is what makes instant branching and autoscaling possible.
The practical read: choose PlanetScale when you need a MySQL-compatible engine or explicit horizontal sharding, and choose Neon when you want Postgres that expands and contracts with traffic without hands-on instance sizing.
Branching, autoscaling, and agent tooling
Database branching appears on both sides. It lets you spin up isolated copies of a database for development, testing, or CI. PlanetScale documents branching alongside deploy requests, query insights, and non-blocking schema changes for its engines (planetscale.com/docs, 2026-07-29). Neon markets instant branching and instant restore as central to its developer workflow (neon.com, 2026-07-29).
Autoscaling is where the scope differs. Neon advertises advanced autoscaling of compute that adjusts automatically to traffic. PlanetScale's pricing page describes autoscaling storage on its Amazon EBS option, with IOPS and bandwidth configurable in the app, while compute capacity is set by choosing a cluster size (planetscale.com/pricing, 2026-07-29).
Both vendors are courting AI and agent developers. Each supports the Model Context Protocol (MCP) for connecting agents to the database. On its homepage Neon adds an AI Gateway, one-command setup with npx neon init, and a neon inspect db helper for debugging from an agent or CLI, positioning itself as designed for apps and agents. PlanetScale's messaging highlights using agents to optimize and shard databases (neon.com and planetscale.com, 2026-07-29).
Pricing and plans
PlanetScale publishes resource-based pricing at planetscale.com/pricing. The Base plan is self-serve, with no contract or sales call, and lets you upsize or downsize instances as needed. As of 2026-07-29, PlanetScale Postgres starts at $5/month for a single node aimed at development and low-traffic production. A high-availability example cluster, labeled PS-5 (1/16 vCPU, 512 MB memory, and 10 GB storage per node, three nodes total), is listed at $15/month. Metal, which uses high-performance local NVMe storage, starts at $50/month. Each includes 100 GB of egress bandwidth, with additional egress billed at $0.06/GB. Vitess on the Base plan is priced by cluster size and runs on network-attached storage or Metal.
Bring-your-own-cloud deployments, migration help, private Slack support, additional regions, and architecture consultation sit under PlanetScale's Enterprise plan with custom pricing. PlanetScale is also available on the AWS and Google Cloud marketplaces (planetscale.com/pricing, 2026-07-29).
Neon sets its plan prices on its own pricing page. For current tiers, quotas, and limits, read neon.com/pricing directly. The dollar figures in this section are the ones PlanetScale publishes on its pricing page (2026-07-29); for Neon, its pricing page is the authoritative source for up-to-date amounts.
High availability, storage, and deployment
High availability is built into PlanetScale by default. Every cluster runs one primary plus at least two replicas across three availability zones, with automated failovers and managed version upgrades, and the HA configuration carries a 99.99% SLA (planetscale.com and planetscale.com/pricing, 2026-07-29). Storage comes in two forms: network-attached Amazon EBS with autoscaling storage for smaller, lower-I/O databases, or PlanetScale Metal, which uses locally-attached NVMe drives the company markets as offering unlimited IOPS for its fastest nodes.
For deployment, PlanetScale offers multi-tenant and single-tenant options, and its Enterprise offering, PlanetScale Managed, can run inside your own AWS or GCP account (planetscale.com/docs, 2026-07-29).
Neon's homepage emphasizes instant restore for fast recovery and storage-compute separation as the basis of its serverless model (neon.com, 2026-07-29). Specifics such as its high-availability guarantees, region coverage, and deployment options are not detailed on that homepage, so confirm them in Neon's documentation before you decide.
Verdict
Pick PlanetScale when your requirements point to a MySQL-compatible engine, horizontal sharding for very large workloads (its Vitess lineage powers GitHub, Slack, and others), locally-attached NVMe performance via Metal, or a high-availability setup with a 99.99% SLA. Its Base plan is transparent and self-serve, starting at $5/month for a single-node Postgres (planetscale.com/pricing, 2026-07-29).
Pick Neon when you want serverless PostgreSQL that autoscales with traffic and a bundled set of primitives around it: managed auth, serverless functions, S3-compatible object storage, and an AI Gateway, with instant branching and a workflow aimed at application and agent developers (neon.com, 2026-07-29).
Because both speak PostgreSQL, a Postgres application can realistically target either platform, which keeps the switching cost between them relatively low. The usual deciding factors are the engine and scale model (Vitess and MySQL sharding versus serverless autoscaling) and how much of the surrounding application stack you want the database vendor to provide. Check the latest pricing and limits on each vendor's site before you commit.
FAQ
Is PlanetScale a MySQL or a PostgreSQL database?
Both. PlanetScale offers PlanetScale Postgres and Vitess, its MySQL-compatible engine with horizontal sharding, per planetscale.com (2026-07-29).
Does Neon support MySQL?
Neon is a serverless PostgreSQL platform (neon.com, 2026-07-29). If you specifically need a MySQL-compatible engine or Vitess-style horizontal sharding, PlanetScale is the more direct fit.
How much does PlanetScale cost?
On the self-serve Base plan, PlanetScale Postgres starts at $5/month for a single node, a high-availability PS-5 example is $15/month, and Metal starts at $50/month, each including 100 GB of egress with additional egress at $0.06/GB (planetscale.com/pricing, 2026-07-29). Enterprise pricing is custom.
Can I move a Postgres app between Neon and PlanetScale?
Both are PostgreSQL-compatible, so a Postgres application can target either platform. PlanetScale also offers hands-on migration assistance on its Enterprise plan (planetscale.com/pricing, 2026-07-29). Confirm version and extension compatibility for your specific app before migrating.
Sources
Originally published at https://stack.utilverse.info/compare/planetscale-vs-neon-which-cloud-database-fits-your-app/.
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