PlanetScale vs Neon for Solo Developers

Comparing PlanetScale and Neon for solo developers. Features, pricing, pros and cons, and which one to pick for your next project.

Quick Comparison

Feature	PlanetScale	Neon
Type	Managed MySQL (Vitess) plus a Postgres product GA since Sept 2025	Serverless PostgreSQL with autoscaling and scale-to-zero
Cheapest paid entry	Base plan, single-node Postgres from $5/mo; Vitess 3-node HA from $39/mo	Free plan $0/mo, then usage-based Launch with a $5/mo minimum
Free tier	None (the old Hobby plan was deprecated March 2024)	Yes: 0.5 GB storage and 100 CU-hours per project
Client SDK	@planetscale/database v1.20.1, about 188K npm downloads/week	@neondatabase/serverless v1.1.0, about 2.0M npm downloads/week
Engine GitHub stars	Vitess about 21.0K	Neon about 22.1K
Best For	MySQL apps needing zero-downtime schema changes at scale	Serverless Postgres for side projects and startups
Solo Dev Rating	6/10	9/10

PlanetScale Overview

PlanetScale is serverless MySQL built on Vitess, the database clustering system that powers YouTube. The headline feature is database branching. Create a branch of your schema, make changes, test them, and merge back to production with zero downtime. Tables never lock. Users never notice. Schema migrations just happen.

The non-blocking schema change workflow is genuinely excellent for production databases. Traditional MySQL migrations lock tables while altering them, which means downtime for large tables. PlanetScale applies schema changes in the background. For high-traffic applications, this is a meaningful operational advantage.

The downside for solo developers is the price. PlanetScale has no free plan. The old free Hobby tier was deprecated back in March 2024, and the docs now say flatly that "all databases require a paid subscription starting with our Base plan." A single-node Postgres on the Base plan starts at $5 per month, but a production-shaped 3-node high-availability Vitess (MySQL) cluster starts at $39 per month. Either way you are paying from day one, even for prototypes, side projects, and experiments. When free alternatives exist with comparable features, that's a tough sell.

One thing worth flagging, because the old version of this comparison missed it. PlanetScale is no longer MySQL-only. They shipped a managed Postgres product that went generally available in September 2025, so "PlanetScale equals MySQL" is now an oversimplification. That said, the Postgres branching story is still thinner than Neon's, more on that below.

Neon Overview

Neon is serverless PostgreSQL with a modern feature set. Your database scales to zero when inactive and resumes in milliseconds on the first connection. Database branching lets you create instant copies of your database for development and testing. Autoscaling adjusts compute based on demand.

The free tier is genuinely usable. The current Free plan gives you 0.5 GB of storage per project, 100 CU-hours of compute per project per month, 10 branches per project, autoscaling up to 2 CU (8 GB RAM), and scale-to-zero after 5 minutes of inactivity. For side projects that don't see constant traffic, the scale-to-zero feature means you're essentially running for free.

Above the free tier, Neon's pricing changed in a way the old version of this post got wrong. Neon moved to usage-based pricing with a $5 per month minimum on the Launch plan, not a flat $19 Pro tier. On Launch you pay $0.106 per CU-hour of compute, $0.35 per GB-month of storage, and you get 10 branches included. The Scale plan steps compute up to $0.222 per CU-hour with 25 branches included. After Databricks acquired Neon in 2025, storage pricing was cut roughly 80 percent, from $1.75 to $0.35 per GB-month, which is why the usage math below comes out so cheap for a small database.

Neon focuses on being the best PostgreSQL hosting service. No bundled auth, no file storage, no real-time engine. Just excellent, modern PostgreSQL with serverless capabilities.

Key Differences

Database engine. PlanetScale runs MySQL. Neon runs PostgreSQL. In 2026, the developer community strongly prefers PostgreSQL. Better JSON support (JSONB), richer data types, more extensions, better standard compliance. MySQL works fine, but if you're starting fresh, PostgreSQL is the more capable choice. This alone tilts the comparison toward Neon for most developers.

Free tier. Neon has one (0.5 GB storage and 100 CU-hours per project, scale-to-zero, 10 branches). PlanetScale doesn't, and hasn't since the Hobby plan went away in March 2024. For solo developers who experiment frequently, prototype ideas, and run side projects, free tier availability matters enormously. Neon lets you try things without commitment. PlanetScale costs money from the first day, with the cheapest entry being a $5 per month single-node Postgres.

Pricing. Even at the paid tier, Neon is cheaper at solo-dev scale. Neon's Launch plan is usage-based with a $5 per month minimum, billing $0.106 per CU-hour of compute and $0.35 per GB-month of storage. PlanetScale's cheapest production-shaped MySQL setup, a 3-node HA Vitess cluster, starts at $39 per month flat. PlanetScale's single-node Postgres at $5 per month is closer, but it is single-node (no high availability) and always-on, so a quiet side project still pays for compute it isn't using. For a solo developer watching costs, Neon's pay-for-what-you-use model with scale-to-zero usually delivers more value per dollar. The exact gap depends on workload, so see the worked cost section below.

Database branching. Both offer branching, and both pioneered the concept on the serverless side. PlanetScale brought it to MySQL first; Neon brought it to PostgreSQL. The implementations differ in a way that matters more than it used to. Neon branches are instant copy-on-write snapshots of your full dataset, so a branch comes with the data already in it. PlanetScale's MySQL branches are schema-only environments, and its newer Postgres branches require restoring from a backup to include data, with no deploy-request-and-merge flow yet. For a solo developer who wants an instant, data-included copy to test against, Neon's branching is currently the smoother experience. For schema-migration safety specifically, PlanetScale's MySQL deploy-request workflow is still excellent.

Schema changes. PlanetScale's non-blocking schema changes are its standout feature. Alter tables without locking, without downtime, without affecting users. Neon uses standard PostgreSQL DDL, which can lock tables during alterations. For large production databases under heavy load, PlanetScale's approach is better. For solo developer databases (which are typically small), standard PostgreSQL DDL is fast enough that table locking isn't a real problem.

Scale to zero. Neon suspends your database when idle (after 5 minutes on the Free plan) and resumes on the first query, which is exactly why it can bill compute by the second. PlanetScale's current plans are always-on with no scale-to-zero. For side projects with sporadic traffic, Neon's scale-to-zero is a genuine cost advantage. A database that sits idle most of the day costs almost nothing on Neon and costs the full plan rate on PlanetScale.

Ecosystem compatibility. PostgreSQL has broader ORM, tool, and framework support than MySQL. Prisma, Drizzle, TypeORM, Django, Rails, and most modern frameworks prefer PostgreSQL. Connecting Neon to any of these tools is seamless. PlanetScale works with MySQL tools, which is a smaller ecosystem.

Foreign keys. PlanetScale historically lacked foreign key support due to Vitess limitations. They've since added support, but the history matters. If referential integrity is important to you, Neon's PostgreSQL has had full foreign key support since forever. There's no catching up to do.

By the Numbers (2026)

Hard figures, all checked on 2026-05-29 against vendor pricing pages, official docs, the npm registry, and GitHub. Citations are in the Sources list at the end.

Engines and versions. Neon runs PostgreSQL. The current PostgreSQL family includes 18.4 and 17.10, both released on 2026-05-14. PlanetScale's MySQL side runs on Vitess, whose latest major release is Vitess 24.0.0 (announced 2026-04-30, current tag v24.0.1), and the underlying MySQL 8.4 LTS line is on patch 8.4.8 (released 2026-01-20). PlanetScale also runs PostgreSQL through a product that went GA in September 2025.

Pricing, PlanetScale. No free plan. The Base plan is the entry point. Single-node Postgres starts at $5 per month. A 3-node high-availability Vitess (MySQL) cluster starts at $39 per month. Base includes 10 GB of storage with network-attached storage billed at $0.50 per instance per additional 1 GB, one production branch, automatic backups every 12 hours, and 7-day Query Insights retention. Enterprise is custom-priced.

Pricing, Neon. Free plan is $0 per month with 0.5 GB storage per project, 100 CU-hours of compute per project per month, 10 branches per project, autoscaling up to 2 CU (8 GB RAM), and scale-to-zero after 5 minutes. The Launch plan is usage-based with a $5 per month minimum, $0.106 per CU-hour compute, $0.35 per GB-month storage, 10 branches included, and extra branches at $1.50 per branch-month. The Scale plan bills $0.222 per CU-hour with 25 branches included. After the Databricks acquisition in 2025, Neon cut storage pricing about 80 percent, from $1.75 to $0.35 per GB-month.

Adoption signals. The Neon engine repo (neondatabase/neon) has about 22,100 GitHub stars; Vitess (vitessio/vitess) has about 21,000. On npm, Neon's serverless driver @neondatabase/serverless is at v1.1.0 with roughly 2.0 million downloads in the week of 2026-05-21 to 2026-05-27. PlanetScale's @planetscale/database driver is at v1.20.1 with roughly 188,000 downloads in the same week. The driver-download gap (about 10x) tracks the broader pull toward serverless Postgres, though it is not a one-to-one proxy for platform users since PlanetScale apps often connect over a standard MySQL driver rather than the HTTP client.

Real Cost at Solo-Dev Scale

Numbers are nice; what does a real side project actually pay? Here is a worked example with the assumptions stated up front, using the per-unit rates above (checked 2026-05-29).

The workload. A typical solo-dev side project: a small app with a roughly 2 GB database that gets bursty traffic for a few hours a day and sits idle the rest of the time. Assume the database is actively serving for about 4 hours a day, which is about 120 active hours a month, and the rest of the time it can be suspended. Assume one always-on compute unit while active (1 CU), so about 120 CU-hours a month.

Neon (Launch, usage-based).

Compute: 120 CU-hours at $0.106 per CU-hour is about $12.72.
Storage: 2 GB at $0.35 per GB-month is $0.70.
Branches: 10 included, $0 for a solo project.
Raw usage is about $13.42, which clears the $5 minimum, so the bill is about $13 per month. If the project is quieter than this, scale-to-zero pulls the compute line down further, and a truly small experiment can live entirely on the $0 Free plan.

PlanetScale (cheapest production-ish options).

Single-node Postgres on Base: $5 per month flat, but single-node (no HA) and always-on, so the price is the same whether the app serves 4 hours a day or 24.
3-node HA Vitess (MySQL) cluster on Base: $39 per month flat, again always-on, with 10 GB storage included so 2 GB adds nothing.

The read. If you want high availability, PlanetScale's $39 per month is roughly 3x Neon's ~$13 for this workload, and Neon still includes failover-grade durability and branching. PlanetScale's $5 single-node Postgres beats Neon on a sticker basis, but you give up high availability and scale-to-zero, and you pay the same $5 whether or not the database is doing anything. For an idle-most-of-the-day side project, Neon's pay-for-active-compute model is the cheaper shape. The picture flips only when traffic is heavy and constant enough that always-on compute runs cheaper than per-hour billing, which is past the point most solo projects ever reach. (Adjust the active-hours and CU assumptions to your own traffic before trusting the totals.)

When to Choose PlanetScale

You're committed to MySQL for your project
You need non-blocking schema changes for a high-traffic production database
You're already using Vitess or have deep MySQL expertise
Your framework or legacy system requires MySQL specifically
Zero-downtime DDL operations are a hard requirement

When to Choose Neon

You prefer PostgreSQL (or have no strong database preference)
You want a free tier for side projects and experimentation
Budget matters and you want cheaper managed database hosting
You want serverless PostgreSQL that scales to zero
Database branching is important but you don't need non-blocking DDL

The Verdict

Neon wins this comparison for solo developers. The 9/10 vs 6/10 rating gap reflects real differences in pricing, accessibility, and database engine choice.

Neon gives you serverless PostgreSQL with a real free tier, instant data-included branching, scale-to-zero, and usage-based paid plans starting at a $5 per month minimum (about $13 a month for the small bursty side project costed above). PlanetScale gives you MySQL (and now Postgres) with strong schema-migration tooling, but no free plan and a $39 per month entry for a production-shaped high-availability MySQL cluster.

For solo developers, the math is straightforward. Neon is cheaper, runs the more capable database engine, and has a free tier for experimentation. PlanetScale's non-blocking schema changes are impressive but solve a problem that small databases rarely face. Table alterations on a 10MB database take milliseconds regardless of whether they're blocking or not.

The only compelling reason to choose PlanetScale is MySQL compatibility. If your project must run on MySQL (legacy systems, specific framework requirements, or team expertise), PlanetScale is a solid choice. For everything else, Neon offers better value.

My recommendation: use Neon. You get PostgreSQL (the better database), a free tier for starting out, and lower costs as you grow. PlanetScale's branching and schema change features are available from Neon too (branching) or unnecessary at solo developer scale (non-blocking DDL). Neon is the smarter pick.