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
Tool Review
Serverless Postgres platform with autoscaling, branching, read replicas, restore history, AI-agent workflows, and modern developer ergonomics. A strong option when you want Postgres infrastructure without adopting a whole all-in-one backend platform.
Teams that specifically want managed Postgres with modern branching, preview databases, AI-agent workflows, and serverless deployment ergonomics.
Pricing
Neon is usage-based Postgres: compute, storage, restore history, branches, transfer, and plan capabilities drive the real bill.
Learning, prototypes, and small experiments
$0
/ month
Generous free Postgres lane with autoscaling and branching available.
Production apps with intermittent load
Production path
Usage-based
Pay-as-you-grow plan with higher compute, storage, transfer, and restore-history capabilities.
Higher-scale Postgres workloads
Usage-based
Adds stronger limits, observability, networking, and compliance features.
Capabilities
Comparison-friendly facts
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.
Search and AI data
Vector and text-search extension work keeps Neon relevant for apps that mix product data, embeddings, and search.
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
Key changes include a new neon api command, an updated planned update notice period of 3 days, and expanded VPC endpoints and NAT gateway IPs.
Source →Neon is highlighting vector ANN and BM25 text-search extensions optimized for its lakebase architecture, which matters for AI-flavored product data and search-heavy apps.
Source →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.
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:
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.
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.
The ranking nudge this month is not that Neon suddenly became the easiest beginner database. It did not.
It is that Neon keeps becoming easier to justify for AI-assisted development workflows where branches, preview databases, and search/vector data are part of the job. If your coding agent is going to write migrations, giving it an isolated Postgres playground is a pretty grown-up move for a workflow that may have started with “make me a dashboard thingy.”
| neon.com | Neon pricing | |
| neon.com | Neon docs | |
| neon.com | Branching overview | |
| neon.com | pgvector on Neon |
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