PlanetScale vs Neon vs Turso: Best Serverless DB 2026

This article contains affiliate links. We may earn a commission if you sign up through our links, at no extra cost to you.

You’re building something serverless — a Next.js app on Vercel, a Cloudflare Worker, a side project that needs to scale to zero — and you need a database that won’t wake you up at 3am because you forgot to pause a $200/month RDS instance. The serverless database space has exploded, and the three names that keep coming up are PlanetScale, Neon, and Turso.

Here’s the problem: most comparisons of these tools are either hopelessly outdated (PlanetScale dropped their free tier in 2023 and changed their model again since), or they treat all three as roughly equivalent. They’re not. Each one makes a fundamentally different architectural bet, and picking the wrong one will cost you either money, developer velocity, or both.

I’ve run all three in production — PlanetScale on a mid-scale SaaS with ~50k MAU, Neon on several Next.js projects, and Turso on an edge-heavy app that needed sub-20ms reads from multiple regions. Here’s what I actually found.

TL;DR — Quick Verdict

What We’re Actually Comparing

Before diving in, it’s worth being clear that these three tools are not the same category of product wearing different logos. They have genuinely different philosophies:

• PlanetScale is a serverless MySQL platform built on Vitess (the same tech that scales YouTube). It’s opinionated about schema changes and foreign keys.
• Neon is serverless Postgres — fully compatible, with a compute/storage separation architecture that enables branching and scale-to-zero.
• Turso is serverless SQLite (via libSQL, their open fork) with a distributed replication model designed for edge computing. It’s the most different of the three, and the most underrated.

The engine choice alone should filter your decision for a lot of use cases. If your team knows Postgres and uses Prisma or Drizzle with Postgres adapters, PlanetScale is already out. If you’re deploying to Cloudflare Workers and need reads in <10ms globally, Neon probably isn’t the right call either.

PlanetScale: Powerful, But the Pricing Killed the Love

PlanetScale was the darling of the serverless database world for a couple of years, and honestly, the technology still deserves respect. Vitess-backed horizontal sharding, non-blocking schema changes via their branching workflow, and connection pooling built in — this is genuinely impressive infrastructure that most teams never need to build themselves.

The branching model is the killer feature. You create a database branch the same way you create a git branch, test your schema migration against production-like data, then merge it. Zero-downtime deploys, no more 2am migration anxiety. For teams that have been burned by bad migrations, this alone used to justify the platform.

But then they killed the free tier. In early 2023, PlanetScale removed their Hobby plan. The current entry point is the Scaler Pro plan at $39/month per database. There’s a free trial, but no permanently free tier. For a solo developer with three side projects? That’s $117/month just in database costs before you’ve written a line of application code.

The other constraint that bites people: no foreign key constraints. PlanetScale enforces this because Vitess doesn’t support them at the sharding layer. They want you to handle referential integrity at the application layer. For greenfield projects this is manageable. For migrating an existing schema that relies heavily on FK constraints, it’s a significant rework.

When PlanetScale makes sense: You’re running a MySQL-based application at genuine scale (millions of rows, heavy write throughput), you have a team that can leverage the branching workflow properly, and $39+/month per database is a rounding error in your infrastructure budget. This is a tool for Series A+ startups, not side projects.

Neon: The Serverless Postgres That Actually Works

Neon is my current default for new Postgres projects, and I don’t say that lightly. The core architectural insight — separating compute from storage so compute can genuinely scale to zero — sounds simple but is remarkably hard to execute without destroying query latency. Neon has largely solved this.

The cold start problem that plagued early serverless databases is much better in 2026. Neon’s compute wakes up in under 500ms for most regions, and with their connection pooler (PgBouncer built in), connection overhead is minimal. For a Next.js app on Vercel, the experience is seamless — you don’t think about the database layer at all.

Database branching is Neon’s standout feature, and it’s genuinely useful in a way that’s hard to describe until you’ve used it. Every branch gets its own compute endpoint and shares storage via copy-on-write. This means you can spin up a full copy of your production database for a PR review environment in about 5 seconds, without duplicating 50GB of data. I’ve integrated this into CI/CD pipelines and it’s one of those features that makes you wonder how you worked without it.

The free tier is real and useful: 0.5 CPU, 1GB RAM, 3GB storage, and it actually scales to zero when not in use. For side projects and early-stage apps, this is legitimately production-usable. The free tier also includes branching, which is unusual generosity.

Neon is fully Postgres-compatible. Prisma, Drizzle, SQLAlchemy, any Postgres client — it just works. You don’t need to learn a new query model or give up foreign keys or worry about which Postgres extensions are supported (pgvector, PostGIS, and most popular extensions are available).

The downsides: Neon is a single-region database. If you need reads in Tokyo and you’re deployed in us-east-1, you’re adding 150-200ms of latency to every query. For most web apps this doesn’t matter. For edge-first architectures, it’s a dealbreaker. Also, the scale-to-zero cold start, while improved, is still noticeable on low-traffic projects — expect occasional 1-2 second delays after periods of inactivity.

If you’re evaluating Neon for a project, their free tier is worth trying immediately — no credit card required, and you’ll know within 20 minutes whether it fits your stack.

Turso: The Underdog That Edge Developers Are Quietly Switching To

Turso is the most interesting database in this comparison, and it’s the most underrepresented in existing content — which is exactly why I want to spend real time on it here.

Turso is built on libSQL, an open-source fork of SQLite. The pitch is: SQLite is the most deployed database in the world, it’s incredibly fast for reads, and it runs anywhere — including at the edge. Turso takes this and adds a distributed replication layer so you can have your primary database in one region and read replicas embedded close to your users globally.

The latency numbers are not a marketing trick. When your database replica is running in a Cloudflare data center 10ms from your user, and your query is a simple indexed read, you can genuinely hit sub-5ms query times. I measured P95 read latency of 8ms on a Cloudflare Workers deployment with Turso replicas. With Neon in a single region, the same query was 45ms. That difference is perceptible in UI interactions.

Turso’s model is databases-per-tenant friendly. Their pricing is based on number of databases, not storage or compute, which makes it economical to spin up isolated databases per user or per organization. This is a common multi-tenancy pattern (used by tools like Notion internally) that’s expensive or complex to implement with traditional shared databases. With Turso, you can have thousands of databases on their free tier.

The free tier: 500 databases, 9GB total storage, 1 billion row reads per month. This is extraordinarily generous and reflects their bet on developer adoption over early monetization.

The real limitations: SQLite is not MySQL or Postgres. If you’re using Prisma, there’s a Turso adapter, but the ecosystem is thinner. Complex analytical queries, window functions, and some Postgres-specific features aren’t available. Write throughput is limited — SQLite is single-writer, and while Turso handles this gracefully, it’s not the right tool for write-heavy workloads. Also, the embedded replica model (running a local SQLite file that syncs with Turso) is powerful but adds operational complexity that some teams aren’t ready for.

If you’re building anything on Cloudflare Workers, Deno Deploy, or Bun — or if you’re exploring edge-first architectures — Turso deserves serious evaluation. The Turso documentation is genuinely good and the CLI makes setup fast.

For more on edge deployment patterns and the infrastructure decisions that go alongside them, check out our Best Cloud Hosting for Side Projects 2026 guide — a lot of the same architectural considerations apply.

Head-to-Head Comparison

Feature	PlanetScale	Neon	Turso
Engine	MySQL (Vitess)	PostgreSQL	SQLite (libSQL)
Free Tier	❌ None	✅ Generous (3GB, branching)	✅ Very generous (500 DBs)
Entry Paid Price	$39/mo per DB	$19/mo (Launch plan)	$29/mo (Starter)
Scale to Zero	✅ Yes	✅ Yes	✅ Yes
DB Branching	✅ Yes (core feature)	✅ Yes (core feature)	⚠️ Limited
Multi-region Reads	⚠️ Paid add-on	❌ Single region	✅ Core feature
Foreign Keys	❌ Not supported	✅ Full support	✅ Supported
Connection Pooling	✅ Built in	✅ Built in (PgBouncer)	✅ Built in
Prisma Support	✅ Good	✅ Excellent	⚠️ Adapter available
Edge Runtime Compatible	✅ HTTP driver	✅ HTTP driver	✅ Native
Open Source	❌ Proprietary	✅ Yes	✅ Yes (libSQL)

Pricing Breakdown (What You’ll Actually Pay)

Pricing in this space is complicated because all three use consumption-based models with different metrics. Here’s what a typical small-to-medium production app actually costs:

PlanetScale

• Free tier: Gone. There is a trial, not a free tier.
• Scaler Pro: $39/month per database. Includes 10GB storage, 100M row reads/month.
• PS-10 (entry dedicated): $99/month — for when you need dedicated resources.
• Reality check: A developer with 3 databases pays $117/month minimum. This is the biggest reason PlanetScale has lost developer mindshare.

Neon

• Free tier: 1 project, 3GB storage, 0.5 CPU, branching included. Genuinely usable.
• Launch plan: $19/month — 10 projects, 10GB storage, more compute hours.
• Scale plan: $69/month — for production workloads needing more compute and storage.
• Reality check: Most side projects stay on free forever. A small production app fits comfortably on the $19 Launch plan. This is the most accessible pricing in the comparison.

Turso

• Free tier: 500 databases, 9GB storage, 1B row reads/month. Genuinely extraordinary.
• Starter plan: $29/month — more databases, 24GB storage, more row reads.
• Scaler plan: $99/month — for serious production use with more replicas and throughput.
• Reality check: The free tier is so generous that most small projects never need to upgrade. The per-database model makes multi-tenant architectures surprisingly affordable.

Use Case Recommendations

Use Neon if:

• You’re building a standard web app (Next.js, Remix, SvelteKit) and want Postgres with zero ops overhead
• You need database branching for PR environments in CI/CD
• You’re on a budget or building side projects (free tier is real)
• Your team already knows Postgres and you don’t want to learn a new query model
• You’re using pgvector for AI features (Neon’s pgvector support is excellent — relevant if you’re building with the tools covered in our Best AI Tools for Developers 2026 roundup)

Use Turso if:

• You’re deploying to Cloudflare Workers, Deno Deploy, or other edge runtimes and need sub-10ms reads
• You’re building a multi-tenant SaaS where database-per-tenant isolation makes sense
• You need global read distribution without paying for multi-region Postgres
• You’re building a mobile or desktop app that needs embedded SQLite sync
• You want to avoid vendor lock-in (libSQL is open source and self-hostable)

Use PlanetScale if:

• You’re already running MySQL at scale and migrating to a managed serverless solution
• You need the Vitess sharding model for extreme write throughput
• Your team has specifically bought into the schema branching workflow and it’s a core part of your deployment process
• You’re at a company where $39+/month per database is genuinely not a consideration

Skip PlanetScale if:

• You’re a solo developer or small team on a budget
• You prefer Postgres
• You need foreign key constraints
• You’re just starting a new project and haven’t committed to MySQL

What About Self-Hosting?

Both Neon and Turso are open source, which matters for vendor lock-in concerns. Neon can be self-hosted (though it’s complex), and libSQL (Turso’s engine) can absolutely be self-hosted with sqld. PlanetScale is proprietary — you’re fully committed to their platform.

If self-hosting is a real concern for your team, this is another point against PlanetScale. If you ever need to migrate off, you’re migrating a MySQL database, which is doable but not trivial. Neon’s Postgres compatibility means migrating to any other Postgres host (including something like a managed instance on DigitalOcean) is straightforward — standard pg_dump and restore.

For more on the self-hosting vs managed tradeoffs in the broader hosting space, our DigitalOcean vs Hetzner vs Vultr comparison covers the VPS options that pair well with self-hosted databases.

The AI/Vector Angle (It Matters in 2026)

With AI-native apps becoming the norm rather than the exception, vector search capability is increasingly a database selection criterion. Quick rundown:

• Neon: Full pgvector support. This is a genuine advantage — you get relational data and vector search in one place, and the Postgres ecosystem for AI tooling is mature.
• PlanetScale: No native vector support. You’d need a separate vector database.
• Turso: SQLite-vec extension is available, which provides vector search. It’s functional but the ecosystem is younger than pgvector.

If you’re building AI-augmented features and want to keep your stack simple, Neon’s pgvector support is a meaningful differentiator. Check out our Best MCP Servers for Coding Agents 2026 for more on the AI tooling that pairs with these databases.

Final Recommendation

Here’s my honest take after running all three in production: Neon is the default choice for most developers in 2026, and it’s not particularly close. The free tier is real, the Postgres compatibility is complete, the branching workflow is genuinely useful, and the DX is excellent. If you’re starting a new project and you don’t have a specific reason to choose otherwise, use Neon.

Turso is the right call for edge-first applications, and it’s criminally underrated. If you’re building on Cloudflare Workers or need global read latency under 15ms, Turso’s architecture is the only serverless option that delivers this without a massive cost premium. The SQLite constraint is real but manageable for most application workloads. I expect Turso to be in far more comparison articles by end of 2026 as edge computing becomes more mainstream.

PlanetScale is for specific, large-scale MySQL workloads — and only those. The removal of the free tier was a strategic mistake that handed developer mindshare to Neon and Turso. If you’re not already committed to their platform and paying for it, there’s no compelling reason to start in 2026.

The serverless database space is still moving fast. Neon keeps shipping (their autoscaling improvements in late 2025 were significant), Turso is growing fast with strong open-source momentum, and PlanetScale is repositioning toward enterprise. Pick based on your architecture today, but keep an eye on all three — this comparison will look different again in 12 months.