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Built to scale

Summary: Neon fits every growth stage without requiring an architecture change: a free plan for side projects, autoscaling and copy-on-write branching for startup teams, and API-driven fleet management for scale-ups.

Neon supports you from prototype to scale-up

Neon fits into every stage of growth, from the first side project to operating large fleets of production backends, without forcing you to rethink your architecture along the way.

A full backend on the Free plan

When you're looking for a free plan to start building, what you want is simplicity and enough room to work. Neon's Free plan abstracts most backend configuration, delivers real-world performance, and gives you branching and autoscaling. And you get more than a database: alongside Lakebase Postgres, you can deploy Managed Better Auth, Object Storage for your files, and Functions, all on the same plan.

Build and iterate fast

As a project becomes a product, small teams need to ship quickly and support real users. Neon allows these teams to build fast via coding agents without compromising on scalability or reliability, backed by Lakebase Postgres and the rest of the Neon backend:

Production checklist

Before launching your product, go through this checklist to make sure your database has the right configuration to support your end users.

View checklist

Operations at scale

At this stage, teams need performance, reliability, isolation, and automation without ballooning costs or operational complexity. The lakebase architecture is built to address their different requirements directly.

  • On-demand storage grows as data demands it, without planning for capacity in advance and without the risk of full-disk errors
  • Built-in high availability is provided by default through storage redundancy, with data replicated across availability zones and cloud object storage
  • Backup and restore via snapshots allows you to recover multi-terabyte databases in seconds, without full data copies
  • You can use time travel and snapshot inspections to review past database states for auditing, debugging, and incident analysis
  • By creating environments as copy-on-write branches, you avoid the management work and costs associated with running separate instances for development, staging, testing, or recovery
  • Programmatic lifecycle management lets you create, reset, and delete large numbers of environments without eating up engineering time
  • The rest of the backend scales the same way: Object Storage, Functions, and Managed Better Auth provision, branch, and scale with your project, so there's no separate system to operate at fleet size
  • A database-per-tenant setup gives each customer a dedicated Neon project, providing strong isolation, eliminating noisy neighbors, and ensuring consistent performance
  • API-first tenant management enables programmatic provisioning, configuration, scaling, recovery, and deletion of tenant databases, making it practical for small teams to manage thousands of tenants
  • Instant, API-driven provisioning lets you deploy a full Neon backend, Lakebase Postgres plus the primitives you need, as part of your platform or agent
  • The fully embedded experience keeps Neon invisible to your end users, with no third-party logins or external configuration required as part of your product workflow
  • Scale to zero keeps unit costs low when large numbers of generated apps are never used or only accessed sporadically
  • A mature API exposes fleet management and cost-control capabilities including quotas, usage limits, and lifecycle operations
  • You can build versioning, checkpoints, rollbacks, and time-travel workflows with minimal engineering effort via snapshots
  • Backend primitives such as Managed Better Auth, Object Storage, Functions, the PostgREST-compatible Data API, and the AI Gateway let you hook up full-stack applications by default

Agent Plan

If you're building a full-stack agent platform, apply to our Agent Plan for special pricing, resource limits, and assistance.

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