Neon vs PlanetScale: Serverless Postgres vs MySQL

Neon and PlanetScale both reimagine traditional databases for the serverless era, offering branching workflows, automatic scaling, and developer-friendly APIs. The fundamental difference is the underlying database engine: Neon is built on PostgreSQL, while PlanetScale is built on MySQL via Vitess (the same technology powering YouTube's database infrastructure).

Neon launched in 2022 and has gained rapid adoption, particularly among Next.js and Vercel developers. Its key innovation is separating storage and compute, enabling true scale-to-zero where you pay nothing when your database is idle. Neon has raised over $100 million in funding and processes billions of queries monthly.

PlanetScale launched in 2021 and established itself as the leading serverless MySQL platform. It pioneered database branching for schema changes and built a reputation for reliability at massive scale. However, PlanetScale removed its free tier in early 2024, which shifted many hobby and early-stage projects to Neon. This pricing change significantly altered the competitive landscape between the two platforms.

The choice between Neon and PlanetScale often comes down to PostgreSQL versus MySQL preference. PostgreSQL offers a richer feature set: native JSON support with efficient querying (JSONB), full-text search, geospatial extensions (PostGIS), array types, custom types, and a vast extension ecosystem including pgvector for AI embeddings. The PostgreSQL ecosystem has seen enormous growth, with adoption increasing roughly 30% year-over-year.

MySQL's strengths are simplicity, performance for read-heavy workloads, and massive deployment scale. PlanetScale's Vitess foundation adds horizontal sharding, non-blocking schema changes, and connection pooling optimised for serverless environments. MySQL is the database behind WordPress, Shopify, and thousands of large-scale web applications.

For new projects in 2026, PostgreSQL (and by extension Neon) is increasingly the default recommendation. The language ecosystem has shifted: Prisma, Drizzle, and TypeORM all work well with both engines, but PostgreSQL's richer type system produces cleaner ORM schemas. If you are starting fresh and have no MySQL expertise to leverage, PostgreSQL provides more capabilities with fewer workarounds.

Both platforms offer database branching, which allows you to create isolated copies of your database for development and testing without affecting production. PlanetScale pioneered this concept for databases, modelling it after Git branches. You create a branch, make schema changes, review the diff, and merge — all without downtime or locking the production database.

Neon's branching uses copy-on-write technology, which means creating a branch is nearly instant regardless of database size. A branch of a 100GB database takes seconds, not hours, because Neon only copies the pages that change. This makes Neon's branching particularly efficient for large databases. Neon branches can also be used for preview deployments, giving each pull request its own database instance.

PlanetScale's branching is more focused on schema migration safety. Its deploy request workflow provides a clear review process for database schema changes, complete with schema diffs and automated checks for backwards compatibility. PlanetScale does not support data branching in the same way — branches contain schema changes, not data snapshots. For teams that need isolated data environments for testing, Neon's approach is more complete.

Neon's free tier is exceptionally generous: 0.5 GB storage, 191 compute hours per month (enough for always-on usage on a small instance), and database branching. This makes Neon the clear choice for hobby projects, prototypes, and early-stage startups that need a production-capable database without upfront costs. Paid plans start at $19/month with usage-based scaling.

PlanetScale removed its free tier in early 2024, with paid plans starting at $39/month per database. This pricing shift pushed many developers to Neon for smaller projects. PlanetScale's paid plans include more storage (10 GB on Scaler), higher throughput, and dedicated support. For production workloads, PlanetScale's pricing is competitive, but the entry cost is meaningfully higher than Neon's.

The pricing difference is most significant for developers with multiple small projects. Running five small applications on Neon's free tier costs nothing. Running those same five applications on PlanetScale costs $195/month. For a single production application with meaningful traffic, the cost difference narrows, and the choice should be based on features and database engine preference rather than price alone.

Neon's architecture separates storage and compute, which enables scale-to-zero and instant branch creation. The trade-off is cold start latency — when a scaled-to-zero database receives its first query, there is a brief delay (typically 300-500 milliseconds) while compute spins up. For applications with consistent traffic this is invisible, but for infrequently accessed databases it adds noticeable latency to the first request. Neon offers an always-on compute option to eliminate cold starts.

PlanetScale uses Vitess for horizontal sharding, which enables virtually unlimited scaling for read and write workloads. Connection handling through PlanetScale's proxy means you never hit connection limits, even with thousands of concurrent serverless function invocations. Latency is consistently low because PlanetScale does not scale to zero — your database is always running.

For typical web applications serving hundreds to thousands of requests per minute, both platforms perform well. Neon is better suited for applications with variable traffic patterns that benefit from scale-to-zero. PlanetScale is better suited for high-throughput applications that need consistent low-latency responses and massive horizontal scaling.

Neon integrates particularly well with the Vercel ecosystem. The Neon-Vercel integration automatically creates preview databases for each deployment, matching Vercel's preview deployment model. Neon also works seamlessly with Prisma, Drizzle ORM, and the broader Node.js ecosystem. The @neondatabase/serverless driver is optimised for serverless environments with WebSocket-based connections.

PlanetScale has strong integrations with popular frameworks and ORMs. The PlanetScale CLI provides an excellent local development experience, and the web console is well-designed for schema management and query analysis. PlanetScale's Insights feature provides query-level performance analytics that help you optimise slow queries.

Both platforms provide excellent documentation and developer experience. Neon's advantage is in the serverless JavaScript ecosystem (Next.js, Nuxt, SvelteKit), while PlanetScale has broader language support including strong Ruby on Rails, Laravel, and Go integrations. Your existing technology stack should influence the choice — if your team uses Rails, PlanetScale's MySQL compatibility is the natural fit.

For most new projects in 2026, we recommend Neon. PostgreSQL's feature richness, Neon's generous free tier, seamless Vercel integration, and efficient branching make it the strongest default choice for serverless applications. The PostgreSQL ecosystem continues to grow faster than MySQL's, and tools like pgvector make Neon particularly attractive for AI-enabled applications.

Choose PlanetScale if your team has deep MySQL expertise, you are migrating an existing MySQL application to a serverless platform, or you need PlanetScale's proven horizontal scaling through Vitess. PlanetScale's operational maturity at massive scale (it has powered databases handling millions of queries per second) is a genuine advantage for high-throughput production workloads.

For hobby projects and prototypes, Neon's free tier makes it the only sensible choice. For production workloads, evaluate based on your database engine preference and scaling requirements. Both platforms are reliable, well-maintained, and actively improving. The database engine decision (PostgreSQL vs MySQL) will likely matter more than the platform decision in the long run.