Neon vs Turso for Solo Developers
Comparing Neon and Turso for solo developers. Serverless Postgres vs edge SQLite. Features, pricing, pros and cons, and which one to pick.
Quick Comparison
| Feature | Neon | Turso |
|---|---|---|
| Type | Serverless PostgreSQL | Edge-hosted SQLite (libSQL) |
| Free Tier | $0/mo, 100 CU-hours and 0.5 GB storage per project, up to 100 projects | $0/mo, 5 GB storage, 500M monthly rows read, 10M monthly rows written, up to 100 databases |
| First Paid Tier | Launch, usage-based at $0.106/CU-hour plus $0.35/GB-month storage | Developer, $4.99/mo (9 GB, 2.5B rows read, 25M rows written) |
| Driver Package | @neondatabase/serverless v1.1.0 | @libsql/client v0.17.3 |
| GitHub Stars | 22,075 (neondatabase/neon) | 16,786 (tursodatabase/libsql) |
| npm Weekly Downloads | ~1.99M | ~1.05M |
| Learning Curve | Easy | Easy |
| Best For | Serverless Postgres for side projects and startups | Edge-first apps wanting SQLite simplicity with global distribution |
| Solo Dev Rating | 9/10 | 8/10 |
Neon Overview
Neon is serverless PostgreSQL done right. You get a full Postgres database that scales to zero when nobody is using it and wakes up in milliseconds when they are. Database branching lets you create instant copies of your data for testing. And the free tier is genuinely generous for solo developers.
I've been impressed with Neon every time I've used it. The connection experience is smooth, it works with every Postgres tool and ORM out there, and the branching feature is something I wish every database had. Need to test a migration against real data? Branch your database, run the migration, verify it works, then apply it to production. It takes seconds.
The Postgres compatibility means your existing knowledge transfers directly. Prisma, Drizzle, Django, Rails, any tool that speaks Postgres works with Neon without changes. That's a massive advantage for a solo developer who doesn't want to learn a new database system.
Turso Overview
Turso takes SQLite and puts it at the edge. Built on libSQL (their fork of SQLite), Turso replicates your database to multiple locations globally so your reads are fast no matter where your users are. The killer feature is embedded replicas, where you embed a read replica directly in your application, making reads essentially local.
SQLite is one of my favorite pieces of technology. It's simple, reliable, and needs no server. Turso extends that simplicity with managed replication and global distribution. Your application talks to what feels like a local SQLite file, but behind the scenes, writes go to a primary and replicate everywhere.
The free tier is solid. You get databases, locations, and enough storage to build real projects. The developer experience is clean, and the CLI works well. If you're building something that needs low latency globally and you appreciate SQLite's simplicity, Turso is genuinely interesting.
Key Differences
Postgres vs SQLite is the core tradeoff. Neon gives you full PostgreSQL with all its features: JSONB, full-text search, advanced indexing, stored procedures, extensions. Turso gives you SQLite with its simplicity but also its limitations: no stored procedures, limited concurrent write throughput, fewer data types. For most web applications, Postgres offers more flexibility.
Edge distribution is Turso's advantage. Neon runs in specific regions. Turso replicates globally. If your users are spread across continents and read latency matters, Turso's edge replicas deliver faster reads. But for most solo developer projects where users are concentrated in one or two regions, Neon's single-region Postgres is fast enough.
Ecosystem support is massively different. PostgreSQL has decades of tooling, ORMs, extensions, and community knowledge. Every framework, every ORM, every deployment platform supports Postgres natively. SQLite/libSQL support is growing but it's still a fraction of what Postgres offers. Drizzle supports Turso well, but some tools just don't support it yet.
Pricing models are structured differently. Neon moved to a usage-based model. Past the free tier you pay per resource, $0.106/CU-hour of compute and $0.35/GB-month of storage on the Launch plan. Turso sells fixed monthly tiers with generous quotas, $4.99/mo for the Developer plan or $24.92/mo for Scaler. Both have a real free tier. The takeaway is that Neon's bill tracks how busy your database is, while Turso's bill is predictable until you blow past a quota. For a low-traffic side project, both can stay free or near-free for a long time. See the cost section below for a worked example.
Branching exists on both, but Neon's is more mature. Neon pioneered database branching and it shows. The implementation is polished and the workflow is well-documented. Turso offers branching too, but Neon's has been production-tested longer.
Write patterns matter. SQLite (and by extension Turso) uses a single-writer model. One write at a time. For most web apps this is fine, but if you have high write concurrency, Postgres handles it better with its multi-writer architecture.
By the Numbers (2026)
Numbers help cut through the marketing. Here is what each project actually looks like as of late May 2026, pulled from the vendor pricing pages, the GitHub API, and the npm registry.
Latest driver versions. The Neon serverless driver @neondatabase/serverless sits at v1.1.0. The Turso client @libsql/client sits at v0.17.3. Neon's driver has crossed 1.0, which signals a stable public API, while the libSQL client is still on a 0.x line.
GitHub traction. The core neondatabase/neon repo has 22,075 stars. Turso's libSQL fork at tursodatabase/libsql has 16,786 stars. Worth noting, Turso's newer Rust rewrite of SQLite lives at tursodatabase/turso and already has 18,985 stars, so the team is actively splitting effort across two engines. Neon's single repo is the busier of the two cores on raw star count.
npm adoption. In the week of 2026-05-21 to 2026-05-27, @neondatabase/serverless pulled 1,993,558 weekly downloads against 1,053,605 for @libsql/client. Over the trailing month it was 8,211,702 versus 4,242,815. Neon's driver is downloaded roughly twice as often, which lines up with Postgres being the default in more frameworks.
Free tier limits. Neon Free gives you 100 CU-hours of compute and 0.5 GB of storage per project, 10 branches per project, and up to 100 projects. Turso Free gives you 5 GB of storage, 500 million monthly rows read, 10 million monthly rows written, 3 GB of monthly syncs, and up to 100 databases. They measure different things, compute-time versus row-operations, so the right way to read this is that Neon meters how long your database is awake while Turso meters how much data flows through it.
Paid entry points. Neon's first paid tier, Launch, is usage-based at $0.106 per CU-hour and $0.35 per GB-month of storage. Turso's first paid tier, Developer, is a flat $4.99/mo for 9 GB storage, 2.5 billion rows read, and 25 million rows written, with overages at $0.75/GB, $1 per billion rows read, and $1 per million rows written. Turso's Scaler tier is $24.92/mo for 24 GB, 100 billion rows read, and 100 million rows written.
Real Cost at Solo-Dev Scale
Pricing tables are abstract, so here is a concrete workload. Assume a typical solo-dev SaaS or side project, light but real traffic.
Stated assumptions:
- One always-reachable database, low but steady traffic
- Roughly 50 million rows read per month and 1 million rows written per month
- About 2 GB of stored data
- The database is genuinely active a few hours a day, call it 100 compute-hours of awake time per month on Neon's smallest compute, scaling to zero the rest of the time
Turso at this scale. Reads (50M) and writes (1M) sit comfortably inside the Free plan's 500M reads and 10M writes, and 2 GB is well under the 5 GB storage cap. Monthly cost on Turso: $0. If the project grew past the free quotas, the next stop is the Developer plan at a flat $4.99/mo, which covers 2.5 billion reads and 25 million writes, far more headroom than this workload needs. Turso's fixed-tier model means the bill stays flat and predictable.
Neon at this scale. Neon's free tier includes 100 CU-hours and 0.5 GB storage per project. Our 100 awake compute-hours fits the free compute allowance, but 2 GB of storage exceeds the 0.5 GB free cap, so this workload pushes onto the usage-based Launch plan. Storage past the free tier is billed at $0.35/GB-month. Two GB of storage works out to roughly 2 times $0.35, about $0.70/month for storage, plus compute charged at $0.106/CU-hour for hours beyond the free allowance. If you stay within the 100 free CU-hours, the dominant charge here is the small storage overage, landing in the low single digits of dollars per month.
The honest read. At genuine hobby scale both stay free or close to free, so cost is not the deciding factor early on. Turso's free row-operation quotas are large and easy to stay under, while Neon's tighter 0.5 GB free storage cap is the line you cross first. As traffic grows, Turso's flat $4.99 then $24.92 tiers stay predictable, whereas Neon's usage-based billing tracks how active and how large your database is. Pick Turso if you want a fixed line item on your budget. Pick Neon if you want to pay only for the compute-time you actually use and you value the Postgres feature set enough that a few dollars of metered cost does not bother you. Always confirm current pricing before you commit, since both vendors revise these numbers.
When to Choose Neon
- You want full PostgreSQL compatibility without managing servers
- Your project uses frameworks that default to Postgres (Django, Rails, etc.)
- You need JSONB, full-text search, or advanced SQL features
- You prefer the larger Postgres ecosystem and tooling
- Database branching for safe migrations is important to you
When to Choose Turso
- You love SQLite's simplicity and want it in production
- Your application needs low-latency reads globally
- Embedded replicas for local-speed reads excite you
- You're building with a framework that supports libSQL (Drizzle, etc.)
- You want edge-first architecture without complexity
The Verdict
Neon wins for most solo developers. PostgreSQL is simply more capable, more widely supported, and the tooling ecosystem is unmatched. The free tier is generous, the DX is excellent, and every ORM and framework works with it out of the box.
Turso is genuinely compelling if you're building edge-first applications or if you love SQLite's philosophy. The embedded replicas feature is clever, and for read-heavy, globally distributed apps, it's a real advantage. But for the typical solo developer building a SaaS or side project? Postgres on Neon is the safer, more versatile choice. Start there, and explore Turso when you have a specific edge computing use case that demands it.
Sources
All figures above were checked on 2026-05-29 against these sources.
- Neon pricing and free tier limits: https://neon.com/pricing
- Turso pricing and free tier limits: https://turso.tech/pricing
- neondatabase/neon GitHub stars: https://github.com/neondatabase/neon (22,075 stars via the GitHub API)
- tursodatabase/libsql GitHub stars: https://github.com/tursodatabase/libsql (16,786 stars via the GitHub API)
- tursodatabase/turso GitHub stars: https://github.com/tursodatabase/turso (18,985 stars via the GitHub API)
- @neondatabase/serverless latest version (1.1.0): https://registry.npmjs.org/@neondatabase/serverless/latest
- @libsql/client latest version (0.17.3): https://registry.npmjs.org/@libsql/client/latest
- @neondatabase/serverless weekly and monthly npm downloads: https://api.npmjs.org/downloads/point/last-week/@neondatabase/serverless
- @libsql/client weekly and monthly npm downloads: https://api.npmjs.org/downloads/point/last-week/@libsql/client
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