Neon vs Turso(2026)
Neon is better for teams that need scale-to-zero (no idle cost). Turso is the stronger choice if ultra-low latency at edge. Neon is freemium (from $19/month) and Turso is freemium (from $29/month).
Full feature breakdown, pricing details, and pros & cons below.
By Bikram NathLast updated
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Neon
Neon is a serverless PostgreSQL database with branching, autoscaling, and a generous free tier.
Starting at $19/month
Visit NeonTurso
Turso is a distributed SQLite database built for the edge, powered by libSQL.
Starting at $29/month
Visit TursoHow Do Neon and Turso Compare on Features?
| Feature | Neon | Turso |
|---|---|---|
| Pricing model | freemium | freemium |
| Starting price | $19/month | $29/month |
| Serverless PostgreSQL | ✓ | — |
| Database branching | ✓ | — |
| Autoscaling | ✓ | — |
| Connection pooling | ✓ | — |
| Point-in-time restore | ✓ | — |
| Distributed SQLite | — | ✓ |
| Edge-first | — | ✓ |
| libSQL fork | — | ✓ |
| Multi-tenancy | — | ✓ |
| Embedded replicas | — | ✓ |
Neon Pros and Cons vs Turso
Neon
Turso
Deep dive: Neon
When to choose Neon
Choose Neon if you're building with PostgreSQL and want serverless simplicity without managing infrastructure. It's ideal for startups and teams under 50 people who need a production database for bursty workloads—nightly batch jobs, periodic webhooks, or MVP projects. The database branching feature is a genuine productivity win; you get instant dev/staging clones without snapshot overhead. Scale-to-zero pricing works well for side projects and early-stage SaaS. Neon is wrong if you need non-PostgreSQL databases (it's Postgres-only), you're locked into MySQL/MongoDB workflows, or you have sustained high-concurrency workloads requiring hundreds of simultaneous connections. The free tier's 3 concurrent connection limit is deceptively low—Vercel serverless functions consume connections quickly, and hitting the limit causes mysterious 30-second timeouts. Teams with >100k monthly active users often need PgBouncer or paid tiers with higher connection pools to avoid bottlenecks. Also avoid Neon if you need zero vendor lock-in or have strict self-hosted infrastructure requirements for compliance.
Real-world use case
A solo SaaS founder built a link-shortening service in Next.js using Neon, starting on the free tier. Within 3 months at 12k monthly uniques and $280/month revenue, they upgraded to Neon's Pro plan ($29/month). The turning point: when testing an analytics migration, Neon's database branching saved 2 hours of manual dump/restore that would've consumed half a day on RDS. They could branch, migrate, and delete with zero data management overhead. Real stack cost: $29/month Neon + $40/month Vercel. They chose Neon over PlanetScale because they needed SQL joins for analytics queries—cheaper to compute in Postgres than denormalizing in MySQL. The surprise: during a traffic spike, their connection pool filled unexpectedly, causing 30-second request timeouts. Debugging revealed all five concurrent serverless functions held one connection each; adding one more request queued subsequent connections. They implemented a connection pool (PgBouncer, $0 cost) but lost 30 minutes discovering the root cause because Neon's error messages don't explicitly state connection exhaustion.
Hidden gotchas
The free tier's 3-connection limit is a trap: it sounds fine locally, but Vercel's serverless functions each hold a connection. Five concurrent requests fill the pool instantly, then queue and block—you'll see mysterious 30-second timeouts before realizing connections are exhausted. Neon's error messages don't explicitly say 'connection limit reached.' Branching is marketed as 'instant,' but creating a branch actually clones data. On a 100GB database, cloning takes minutes, not seconds. The UI doesn't warn upfront about clone time or storage implications, so you discover it only when your branch creation hangs. Billing is per-compute hour, not per-query. A long-running query (10-minute batch export) charges for the entire duration, even if idle. The pricing page lacks this transparency. Their free tier's auto-delete for unused branches after 30 days can catch you off-guard if you create a test branch and forget to use it. Cold starts are minimal (~50ms), but idle databases may see slower first queries due to page cache eviction—undocumented behavior that looks like Neon is broken.
Pricing breakdown
Neon offers a free tier with 0.5 GB of storage, 190 compute hours per month on a shared 0.25 vCPU instance, and up to 10 branches. This is sufficient for development, hobby projects, and small production apps with light read/write loads. The Launch plan at $19 per month includes 10 GB storage, 300 compute hours, and autoscaling up to 4 vCPUs. The Scale plan at $69 per month includes 50 GB storage, 750 compute hours, autoscaling up to 8 vCPUs, and read replicas. The Business plan at $700 per month adds 500 GB storage, 1,000 compute hours, and dedicated support. Storage beyond plan limits is $1.75 per GB per month on Launch and $1.50 on Scale. Compute beyond included hours is billed at $0.16 per compute-hour on Launch. For a typical small SaaS (5 GB database, moderate query load averaging 200 compute hours per month), the Launch plan at $19 covers the workload comfortably. A mid-size application with 25 GB of data and bursty traffic requiring 500 compute hours lands on the Scale plan at $69 plus minimal overage. The branching feature — Neon's key differentiator — is free on all plans and uses copy-on-write, so branches consume storage only for the delta from the parent. This makes preview environments and CI database branches effectively free until the delta grows. The main cost surprise is compute scaling: Neon's autoscaler can ramp up to the plan maximum during traffic spikes, and sustained high-vCPU usage burns through compute hours faster than expected. A 4-vCPU instance running continuously uses 4 compute-hours per wall-clock hour, which would exhaust the Launch plan's 300-hour allocation in 75 hours of continuous full-scale operation.
Deep dive: Turso
When to choose Turso
Choose Turso if you're building edge applications that need database reads at the edge with sub-10ms latency, or if you want SQLite's simplicity without managing deployment. Single-region workloads with <10GB of data fit perfectly. The free tier is generous ($0 for 8GB + 1M API requests/month), making it ideal for side projects, internal tools, and MVPs. SQLite's single-writer model works fine if you don't have concurrent writes from multiple regions. Turso is wrong if you need ACID transactions across multiple tables (SQLite has limited multi-table transaction support), you have thousands of concurrent writers, your queries involve complex joins, or you need advanced indexing like JSONB. Also wrong if you're already invested in SQL Server, Cassandra, or a different database ecosystem—SQLite is simple but completely different. Not suitable for teams expecting SQL migrations tooling on par with Postgres or those needing a dedicated database team. High-concurrency write-heavy applications will hit SQLite's single-writer bottleneck.
Real-world use case
A solo developer built an analytics dashboard for startup portfolios using Turso, deployed globally on Vercel edge functions with SQLite replicated to 5 regions. Each user's dashboard queries Turso from the nearest edge location. Load time: 40ms (10ms database, 30ms rendering). Cost: $0 (free tier). Real tradeoff: they initially tried Neon from each edge location but hit connection limits—Vercel edge functions don't support persistent connections, so each request was a new connection attempt. With Turso's HTTP API, each edge function makes a stateless request to the nearest replica with zero connection overhead. They chose Turso over Firebase because Firebase's realtime sync would've overkilled the use case; they just needed fast reads. When they added a second analytics dashboard writing to the same SQLite database, they discovered SQLite's single-writer model queued writes. On busy days, writes would queue for 100ms+, requiring them to implement a backend write queue. The lesson: edge reads are great, but writes still bottleneck at the primary.
Hidden gotchas
SQLite's single-writer model is not obvious from marketing. Multiple concurrent writes queue behind each other—if one write takes 500ms, the next write waits. This bites every developer eventually and forces you to architect write queues or batch writes in your application layer. Replication across regions is read-only on replicas—you can only write to the primary. Writes must round-trip to the primary region, negating the latency benefit for write-heavy applications. This limitation contradicts the 'edge database' marketing pitch. Their 'libSQL' dialect adds Postgres-like features incompletely and underdocumented. Trying to use features that exist in Postgres but not libSQL leads to silent failures or cryptic errors. Row limits on the free tier (8GB total) are split across all your databases—if you create 5 databases, you're splitting 8GB five ways. This isn't clear upfront. The HTTP API adds latency vs. TCP connections; if you're not on the edge, you're actually slower than direct SQLite. Complex joins become very slow at scale; SQLite was never designed for analytical queries on large datasets. You'll discover this in production, not development.
Pricing breakdown
Turso's free Starter plan includes 9 GB total storage, 500 databases, and 25 billion row reads/mo — extremely generous for SQLite-based apps. The Scaler plan at $29/mo adds 24 GB storage, 10,000 databases, and 100 billion row reads. Enterprise is custom. The per-database model means you can give each user their own SQLite database at near-zero marginal cost. Egress is free. The pricing advantage over PlanetScale is significant for read-heavy workloads. Write volume is the constraint: the Starter plan includes 50M row writes/mo, Scaler includes 200M.
Should You Use Neon or Turso?
For most teams, Neon is the better default: it offers scale-to-zero (no idle cost) and is freemium (from $19/month). Choose Turso instead if ultra-low latency at edge matters more than no non-postgres support. There is no universal winner — the right pick depends on your budget, team size, and whether you value scale-to-zero (no idle cost) or ultra-low latency at edge more.
Choose Neon if…
- •Scale-to-zero (no idle cost)
- •Database branching for dev/test
- •Fast cold starts
Choose Turso if…
- •Ultra-low latency at edge
- •SQLite simplicity
- •Generous free tier