Neon
VPS Hosting Verified May 2026
Serverless Postgres that scales to zero, branches like Git, and ships with a free tier that actually ships.
- Database branching creates instant schema copies for each developer and PR — just like Git branches for your database
- Autoscaling compute scales to zero between requests, eliminating idle compute costs in serverless architectures
- Point-in-time restore and instant database cloning make dev and staging environments trivial to provision
- Neon Free tier is genuinely useful with 0.5 GB storage and 10 compute hours — strong for side projects
How Neon scored 63/100
6 weighted criteria, each scored out of 10 and published with its reasoning. Featured placements never move a score.
Deal Strength
3.0 /10There is no exclusive coupon; the value is Neon's genuinely generous free plan — up to 100 projects, database branching, and scale-to-zero — plus usage-based paid tiers with no monthly minimum. You can ship a real app without paying, and only start metering once traffic grows.
Value for Money
8.0 /10Neon's pricing is a strong fit for spiky and early-stage workloads: the free tier covers 100 projects (0.5 GB storage and 100 compute-hours each), and paid Launch and Scale plans bill hourly for exactly the compute and storage used. Scale-to-zero means idle databases cost nothing, which traditional always-on Postgres can't match.
Capability
8.0 /10This is real Postgres, not a fork — full SQL compatibility plus serverless superpowers: instant database branching for preview and test environments, autoscaling compute, scale-to-zero, point-in-time restore, and built-in primitives like authentication. The main gaps are the ones inherent to serverless: cold starts on wake and per-branch compute limits.
Time to Value
8.0 /10A new database is live in seconds from the dashboard — no capacity planning, no server provisioning. The free tier needs no card, connection strings work with any Postgres client or ORM, and the Git-style branching maps cleanly onto existing CI workflows, so most developers are querying within minutes.
Trust & Reliability
5.0 /10Neon runs managed Postgres for a large and growing developer base and is a well-funded, closely watched player in the serverless-database space. The score stays mid-range because reliability specifics — formal uptime SLAs and enterprise guarantees — sit on higher paid tiers rather than the free plan most users start on.
Flexibility & Exit
7.0 /10Because it is standard Postgres, portability is strong: you can pg_dump and move to any other Postgres host with no proprietary lock-in on the data itself. The friction is operational rather than contractual — Neon-specific features like branching and scale-to-zero won't carry over to a vanilla Postgres server.
About Neon
Quick answer
Neon is a serverless PostgreSQL platform that separates compute from storage, letting your database scale up, down, and to zero automatically. Its standout features are Git-like database branching, a generous free tier (0.5 GB storage, 191.9 compute hours/month), and instant provisioning that takes seconds. It's the strongest Postgres-first alternative to Supabase for teams who don't want a bundled BaaS.
What is Neon?
Neon is a fully managed, serverless PostgreSQL database service built on a custom architecture that decouples compute from storage. Instead of running a persistent Postgres process on a VM, Neon stores your data in a distributed, append-only storage layer (based on object storage like S3) and spins up stateless Postgres compute nodes on demand to serve queries.
The company was founded in 2021 by Nikita Shamgunov, a former CTO of MemSQL (now SingleStore), and is headquartered in San Francisco. It emerged from stealth in 2022 and quickly became the default Postgres layer for Vercel deployments, Next.js apps, and a growing share of the AI startup ecosystem thanks to native pgvector support.
In May 2024, Databricks announced its intent to acquire Neon, a deal that — as of early 2026 — has positioned Neon as the Postgres engine that will underpin Databricks' Lakebase offering. The product roadmap, pricing, and free tier remain intact, and the company continues to ship independent features.
Key features
Compute–Storage Separation
Storage lives in a custom distributed layer while compute is ephemeral Postgres. This is what makes scale-to-zero and instant autoscaling possible without dropping connections.
Database Branching
Copy your production database in under a second using copy-on-write. Each branch is a full Postgres instance with its own data, perfect for preview deployments and feature testing.
Scale-to-Zero
When your compute is idle, Neon suspends it and you stop paying. The next query wakes it in roughly 500 ms–2 s. On paid plans you can disable this.
Autoscaling
Compute size ranges from 0.25 vCPU up to 8 vCPU, scaling automatically based on load. You set a max; Neon handles the rest.
Standard Postgres Compatibility
Neon is real PostgreSQL 16 (with 17 rolling out), so every driver, ORM, migration tool, and extension you already use just works — including PostGIS, pgvector, and pg_trgm.
Point-in-Time Recovery
Up to 30 days of WAL retention on paid plans lets you rewind to any second. Combined with branching, this is a near-replacement for traditional backup pipelines.
Neon by the numbers
Pricing breakdown
Neon uses a usage-based model that splits compute hours and storage as separate line items. The headline plans in 2026 look roughly like this (verify current pricing before committing):
- Free: $0/month. 0.5 GB of storage, 191.9 compute hours, one project, scale-to-zero enabled. Enough for side projects, demos, and light production traffic.
- Launch: from ~$5/month. 10 GB storage included, 300 compute hours, more projects, and basic support.
- Scale: usage-based. Custom compute (up to 8 vCPU / 32 GB RAM), up to 30-day PITR, private networking, and SOC 2 / HIPAA eligibility on enterprise tiers.
The key economic story is that you don't pay for an always-on minimum. A low-traffic app that idles 22 hours a day might cost a few dollars a month — the same workload on a $30/month RDS instance is roughly 10× more.
Neon vs the alternatives
| Feature | Neon | Supabase | Railway Postgres | AWS RDS |
|---|---|---|---|---|
| Database engine | PostgreSQL 16/17 | PostgreSQL 15+ | PostgreSQL 15+ | PostgreSQL 15+ |
| Serverless / scale-to-zero | Yes (native) | Partial (free tier pauses) | No | No (Aurora Serverless v2 only) |
| Database branching | Yes (<1s, copy-on-write) | Yes (slower, larger) | No (manual) | No (snapshots only) |
| Bundled BaaS (auth, storage) | No — DB only | Yes | No | No |
| Free tier storage | 0.5 GB | 0.5 GB | $5 trial credit | 12 months only |
| pgvector support | Yes | Yes | Yes | Yes |
Choose Supabase if you want auth, storage, realtime, and edge functions bundled in one product. Choose Railway if you want a simpler "VM with a database" mental model and don't care about scale-to-zero. Choose RDS if you're already in AWS and need granular control. Choose Neon if you want a best-in-class Postgres layer that plays nicely with Vercel, serverless functions, and modern CI/CD.
Who should use Neon?
✓ Use Neon if you:
- Build serverless or edge apps and don't want a 24/7 database bill.
- Run preview/demo environments and want a fresh DB per PR.
- Use Vercel, Next.js, Cloudflare Workers, or similar platforms.
- Need a fast, managed Postgres without vendor-specific syntax.
- Are prototyping AI apps that need pgvector at scale.
✗ Skip Neon if you:
- Need an all-in-one backend with auth, file storage, and edge functions (use Supabase).
- Run heavy, long-running analytical queries that need 32+ vCPU.
- Require on-prem or air-gapped deployment (Neon is cloud-only).
- Are risk-averse about the Databricks acquisition and need a 5-year stability guarantee.
What's included
- Serverless Postgres that scales compute to zero when idle — pay only for active compute seconds
- Branching: create a full database copy in milliseconds for dev, staging, and PR preview environments
- Autoscaling compute from 0.25 to 56 vCPUs without manual instance resizing
- Read replicas deployed in one click for analytics workloads without write traffic impact
- Logical replication support for streaming changes to Kafka, Debezium, and Airbyte
- Pooling via PgBouncer built in — thousands of connections without connection exhaustion
- Time Travel: query the database as it existed at any point in the last 30 days
- Neon Free Tier: 0.5 GB storage and shared compute — sufficient for most hobby and prototype projects
- SaaSTweaks-verified affiliate deal
- Vendor-direct activation flow with editorial pros + cons review
Neon pricing
Verified May 2026. Vendor's published rates at the time we checked — always confirm at checkout.
| Plan | Price | Term | What you get |
|---|---|---|---|
| Free | $0 | forever | 0.5 GB storage; 10 compute hours/mo; 1 project; community support; always-free tier |
| Launch | Pay-as-you-go | usage | $0.106/compute unit-hr; storage $0.35/GB-mo; autoscaling; multiple projects; email support |
| Scale | Pay-as-you-go | usage | $0.222/compute unit-hr; higher autoscaling limits; IP allow, HIPAA available; priority support |
| Business | From $700/mo | custom | Custom compute; dedicated resources; 99.99% SLA; enterprise security; SSO |
Getting started
4 steps. The last one is the part most people skip.
- 1
Open Neon through the link on this page
It carries our referral tag. The price you pay is identical either way, and it never changes the score on this page.
- 2
Compare the tiers against what you actually use
The pricing table on this page lists what each plan includes. Match it to real usage rather than the tier the vendor highlights.
- 3
Start on the smallest plan that fits
Most vendors let you move up mid-cycle and bill the difference, so starting low costs you nothing but starting high does.
- 4
Check the renewal terms before you commit
Note the renewal date and the rate it reverts to, so the second invoice is not a surprise. Annual plans are usually cheaper per month but harder to exit.
Where Neon wins and loses
What works
- Database branching creates instant schema copies for each developer and PR — just like Git branches for your database
- Autoscaling compute scales to zero between requests, eliminating idle compute costs in serverless architectures
- Point-in-time restore and instant database cloning make dev and staging environments trivial to provision
- Neon Free tier is genuinely useful with 0.5 GB storage and 10 compute hours — strong for side projects
What doesn't
- Pay-as-you-go pricing without spending caps requires monitoring to avoid unexpected costs
- Scales to zero between requests means cold start latency on first connection after idle period
- Connection pooling with PgBouncer is necessary for high-concurrency apps to avoid connection exhaustion
- Feature set is still maturing compared to managed RDS or Cloud SQL for complex enterprise requirements
The bottom line
Neon reinvents Postgres for the serverless era: it scales to zero when idle, branches your database like Git for instant preview environments, and ships a free tier developers actually build on. Self-managed reliability signals keep it just shy of a top score, but for modern app teams it is a clear buy.
Yes. Neon's free plan is genuinely usable for real projects: up to 100 projects, each with 0.5 GB storage, 100 compute-hours, and 10 database branches, plus scale-to-zero after five minutes idle. No credit card is required to start, and you only move to a paid plan when a project outgrows those limits.
Paid Launch and Scale plans are pay-as-you-go with no monthly minimum — you're billed hourly for the compute and storage you actually use, and idle databases scale to zero and stop costing money. That usage-based model tends to be cheaper than an always-on managed Postgres instance for spiky or early-stage workloads.
Branching lets you spin up an instant, isolated copy of your database — schema and data — the same way Git branches code. Teams use it to give every pull request its own preview database, run tests against production-like data, and throw the branch away afterward, all without duplicating storage upfront.
Yes. Neon runs standard, wire-compatible PostgreSQL, so your existing SQL, extensions, ORMs and drivers work unchanged. What's different is the architecture underneath — storage and compute are separated to enable serverless features like scale-to-zero and branching — but from the application's point of view it is ordinary Postgres.
The trade-offs are the serverless ones: a database that has scaled to zero has a brief cold-start delay when it wakes, and free-tier compute and storage per branch are capped. Latency-critical, constantly-busy production workloads may prefer a provisioned instance, which is exactly what the paid Scale tier and larger compute sizes address.
All three give you managed Postgres, but they optimize differently: Amazon RDS is provisioned always-on infrastructure, Supabase bundles Postgres with auth, storage and APIs as a backend platform, and Neon leads on the serverless database itself — scale-to-zero and branching. Choose Neon when elastic, branch-per-environment Postgres is the priority.
