Turso vs PlanetScale vs Neon: Best Serverless Database (2026)

Serverless databases scale to zero, charge for usage, and require zero server management. In 2026, three platforms lead with fundamentally different database engines: Turso (edge SQLite), PlanetScale (MySQL), and Neon (PostgreSQL).

Quick Comparison

Feature	Turso	PlanetScale	Neon
Engine	libSQL (SQLite fork)	MySQL (Vitess)	PostgreSQL
Architecture	Edge-replicated SQLite	Vitess-based MySQL	Branching PostgreSQL
Edge locations	30+	Single region	Single region (read replicas)
Branching	No	Yes (mature)	Yes (instant)
Schema changes	Standard SQL	Non-blocking DDL	Standard PostgreSQL
Embedded mode	Yes (local SQLite)	No	No
Scale to zero	Yes	Yes	Yes
Free tier	9GB storage, 500 DBs	5GB, 1B row reads	512MB storage
Starting price	$29/mo	$39/mo	$19/mo

Turso: SQLite at the Edge

Turso uses libSQL (their fork of SQLite) to replicate your database to 30+ edge locations worldwide. Every read hits a nearby replica.

Strengths

• Edge reads. Database replicas in 30+ locations. Reads are local — single-digit millisecond latency from anywhere.
• Embedded databases. Run the same database engine locally in your app. Sync to the cloud when connected. Perfect for local-first apps.
• SQLite compatibility. If you know SQLite, you know Turso. Familiar SQL, familiar tools, familiar behavior.
• Generous free tier. 9GB storage, 500 databases, 500 locations. One of the most generous free tiers in the space.
• Per-database isolation. Create a database per user/tenant for true multi-tenant isolation.
• Lightweight. No connection pooling issues. No cold start overhead. Connections are cheap.

Weaknesses

• SQLite limitations. No stored procedures, limited concurrent writes, no full-text search (some extensions available).
• Write latency. All writes go to the primary region, then replicate. Write-heavy workloads may see higher latency.
• Smaller ecosystem. Fewer ORMs, tools, and hosting options compared to PostgreSQL or MySQL.
• Less mature. Newer platform with less production track record at scale.
• No advanced PostgreSQL features. No JSONB, no arrays, no window functions (some supported via extensions).

Best For

Edge-first applications, local-first apps, multi-tenant SaaS with per-tenant databases, and apps where read latency matters most.

PlanetScale: Serverless MySQL

PlanetScale wraps Vitess (YouTube's MySQL scaling layer) in a developer-friendly platform with branching, non-blocking schema changes, and serverless scaling.

Strengths

• Non-blocking schema changes. Deploy schema changes without locking tables or causing downtime. Critical for production databases.
• Database branching. Create branches of your database for development and testing. Merge schema changes like code.
• Vitess-powered scaling. The same technology that scales YouTube. Horizontal sharding handled automatically.
• MySQL compatibility. Widely supported by ORMs, tools, and hosting platforms.
• Insights. Query performance analytics built into the dashboard.

Weaknesses

• No foreign keys (Vitess limitation). Application-level referential integrity required.
• MySQL, not PostgreSQL. Many developers and ORMs prefer PostgreSQL.
• Single region for primary. No edge reads built-in.
• Pricing changes. PlanetScale removed its free tier in 2024 (now requires paid plan). This lost significant developer goodwill.
• Row-based billing. Charged per row read/written, which can be unpredictable.

Best For

MySQL shops, applications needing zero-downtime schema migrations, and teams scaling beyond single-server MySQL.

Neon: Serverless PostgreSQL

Neon provides serverless PostgreSQL with instant branching, autoscaling, and a generous free tier.

Strengths

• It's PostgreSQL. Full PostgreSQL compatibility. Every extension, every ORM, every tool just works.
• Instant branching. Create a database branch in milliseconds (copy-on-write). Each branch is a full PostgreSQL instance.
• Scale to zero. Compute scales down to zero when idle. Pay nothing during off-hours.
• Autoscaling. Compute scales up automatically during load spikes.
• pgvector. Built-in vector search for AI/embedding workloads.
• Read replicas. Add read replicas for scaling read-heavy workloads.

Weaknesses

• Single primary region. Writes go to one region. No edge replication like Turso.
• Cold starts. Scale-to-zero means cold starts when the database wakes up (~500ms-2s).
• Storage-compute separation. Network latency between storage and compute adds overhead compared to local disk databases.
• Compute limits on free tier. 512MB storage is small. Free compute hours are limited.
• Write performance. Storage-compute separation means writes are slightly slower than dedicated PostgreSQL.

Best For

PostgreSQL applications, AI/ML workloads (pgvector), development/testing (branching), and startups that want standard PostgreSQL without ops.

Head-to-Head Comparisons

Read Performance

Turso wins. Edge-replicated reads mean sub-5ms latency from anywhere. Neon and PlanetScale serve reads from a single region (~20-100ms depending on client location).

Write Performance

PlanetScale ≈ Neon > Turso. PlanetScale and Neon handle writes in-region with low latency. Turso routes all writes to the primary region, adding latency for non-primary-region clients.

Schema Management

PlanetScale wins. Non-blocking DDL and branching workflow is the most mature. Neon's branching is excellent for testing but standard PostgreSQL DDL. Turso uses standard SQLite DDL.

Multi-Tenancy

Turso wins. Create a database per tenant with its own edge replicas. PlanetScale and Neon typically use single databases with row-level isolation.

Ecosystem

Neon wins. PostgreSQL has the largest ecosystem — every ORM, every tool, every framework supports it. MySQL (PlanetScale) is close. SQLite (Turso) is growing but smaller.

Pricing Deep Dive

Turso

• Free: 9GB storage, 500 DBs, 500 locations, 25M row reads/mo
• Scaler: $29/month (24GB, 10K DBs, unlimited locations)
• Enterprise: Custom

PlanetScale

• Scaler: $39/month (10GB, 100M row reads)
• Team: $79/month (more storage and reads)
• Enterprise: Custom
• No free tier

Neon

• Free: 512MB storage, 0.25 CU compute
• Launch: $19/month (10GB, 4 CU)
• Scale: $69/month (50GB, 8 CU)
• Enterprise: Custom

Turso has the most generous free tier. Neon is cheapest for PostgreSQL. PlanetScale is most expensive (no free tier + row-based billing).

Decision Framework

Choose Turso when:

• Read latency from global users is critical
• You're building a local-first or offline-capable app
• You want per-tenant database isolation
• SQLite's simplicity fits your data model

Choose PlanetScale when:

• You need zero-downtime schema migrations
• You're scaling a MySQL application
• Database branching is important for your workflow
• You need Vitess-level horizontal scaling

Choose Neon when:

• You want PostgreSQL (most teams do)
• You need pgvector for AI/embedding workloads
• Database branching for dev/test is valuable
• Scale-to-zero matters for cost management
• You want the largest ecosystem compatibility

FAQ

Which is best for a Next.js app on Vercel?

Neon. It has a Vercel integration, PostgreSQL works with every ORM (Prisma, Drizzle, Kysely), and pgvector is useful if you add AI features later.

Can I migrate between these?

Yes, but the database engine differs (SQLite vs MySQL vs PostgreSQL), so it's a significant migration. Choose carefully for your 2-3 year horizon.

What about Supabase as an alternative?

Supabase wraps PostgreSQL with auth, storage, and real-time — it's a BaaS, not just a database. If you want PostgreSQL with extras, consider Supabase. If you want a pure serverless database, Neon is more focused.

Do cold starts matter?

For most apps, Neon's ~500ms cold start is acceptable (first request after idle period). For latency-sensitive APIs, keep minimum compute or use Turso (no cold starts due to edge architecture).

The Verdict

• Turso for edge-first, multi-tenant, or local-first applications. Unique architecture that nothing else matches.
• PlanetScale for MySQL at scale with zero-downtime migrations. Enterprise-grade but expensive.
• Neon for serverless PostgreSQL. The default choice for most new projects in 2026.

For most developers, Neon is the right choice — it's PostgreSQL, it's affordable, and it just works. Consider Turso if edge performance is a differentiator for your product.