Neon logo

Tool Review

Neon

Serverless Postgres platform with autoscaling, branching, read replicas, restore history, and modern developer workflows. A strong option when you want Postgres infrastructure without adopting a whole all-in-one backend platform.

Updated on May 27, 2026 Best for: Teams that specifically want managed Postgres with modern branching and serverless deployment ergonomics. Backend & Database

Teams that specifically want managed Postgres with modern branching and serverless deployment ergonomics.

Try Neon

Pricing

Neon pricing

usage based

Neon is usage-based Postgres: compute, storage, restore history, branches, transfer, and plan capabilities drive the real bill.

Free

Learning, prototypes, and small experiments

$0

/ month

Generous free Postgres lane with autoscaling and branching available.

  • 100 projects
  • 100 CU-hours monthly per project
  • 0.5GB storage per project
  • 6-hour restore window
Launch Featured

Production apps with intermittent load

Production path

Usage-based

Pay-as-you-grow plan with higher compute, storage, transfer, and restore-history capabilities.

  • $0.106 per CU-hour listed on current pricing
  • $0.35 per GB-month storage
  • 7-day restore window
  • 3-day metrics and logs in UI
Scale

Higher-scale Postgres workloads

Usage-based

Adds stronger limits, observability, networking, and compliance features.

  • $0.222 per CU-hour listed on current pricing
  • 30-day restore window
  • 14-day metrics and logs in UI
  • Private networking, IP allow rules, SLAs, SOC 2, HIPAA

Pricing notes

  • Free is generous for experiments, but production apps should model compute hours, storage, branching, restore windows, and transfer.
  • Launch is the likely path for production apps with intermittent load.
  • Scale adds higher limits, longer observability retention, network controls, SLAs, and compliance features.

Capabilities

Feature highlights

Modern Postgres infrastructure

  • Serverless Postgres with autoscaling, scale-to-zero behavior, pooled connections, read replicas, and storage separated from compute.
  • Branching and restore workflows make databasechanges friendlier for previews, AI-generated app variants, and experiments.
  • Postgres extensions like pgvector, PostGIS, and TimescaleDB keep the database useful beyond basic CRUD.

What Neon does not try to be

  • It is not a whole Firebase-style app platform.
  • Auth, storage, file handling, background jobs, and app logic are separate decisions unless you opt into specific Neon-adjacent features.
  • You get a cleaner database layer, but you also compose more of the surrounding stack.

Comparison-friendly facts

Neon in one screen

Database model

Postgres-first, SQL-native, and strong for apps that expect relational data to matter.

Platform scope

Focused databaseinfrastructure, not a full backend suite like Supabase or Firebase.

Branching and previews

Excellent fit for preview environments, AI-generated variants, and safe schemaexperimentation.

Pricing shape

Usage-based compute and storage means quiet apps can be cheap, but always model production load.

AI builder fit

Strong if your agent understands Postgres and you want database branching without adopting a whole backend platform.

Recent updates

Neon updates to track

May 27, 2026 Neon pricing high impact

Pricing refreshed for Free, Launch, and Scale

Neon’s current pricing page lists Free, Launch, and Scale plans with usage-based compute and storage, plus included branching, autoscaling, and restore-history capabilities.

Source →

Neon is appealing when you want the database choice to stay clean and independent.

That is attractive for teams who like Postgres but do not want their database decision to automatically dictate the rest of the stack.

Where Neon fits best

For the Add a Database job, Neon is the focused Postgres pick.

It answers a very specific question: what if you want really solid managed Postgres without also buying a whole bundled backend platform?

That can be the right move when:

  • your app clearly wants relational data
  • you already have auth and storage choices
  • preview databases would make development safer
  • you want serverless Postgres economics
  • you prefer composing the stack yourself

Where Supabase still feels easier

If you want auth, storage, permissions, realtime, and a friendlier all-in-one story for a smaller team, Supabase is usually easier to recommend.

Neon is more focused. That is a strength if your main need is excellent database infrastructure. It is less helpful if you were secretly hoping the database would also solve half the rest of your stack.

My quick take

Neon is strongest when you already understand that your app wants Postgres and you prefer composing the rest of the platform around it.

If you want the cleanest database-first option without unnecessary product sprawl, Neon deserves to be in the conversation.

Further reading

neon.comNeon pricing
neon.comNeon docs
neon.comBranching overview
neon.compgvector on Neon

Related Paths

Related jobs and alternatives