Neon
A serverless Postgres backend with database branches, authentication, functions, object storage, and access to multiple models through one AI Gateway.
About Neon
Neon is a Postgres backend for applications and AI agents. It separates compute from storage, allowing database resources to scale with workload. Instant copy-on-write branches give developers editable databases for previews and tests without touching the production branch. Beyond Postgres, Neon includes managed authentication with users and sessions stored in the database, long-running functions close to the data, S3-compatible object storage, and an AI Gateway powered by Databricks. The gateway puts hosted models behind one API and bill, with usage prices set per model. Developers can start a project from the command line and connect supported MCP clients. Neon suits teams that want managed Postgres and branch-based development without fixed-capacity provisioning. Teams still need to track usage costs, check regional model availability and provider terms, and decide whether the beta AI Gateway, Functions, and Object Storage are ready for their production needs.
Best for
Best use cases
Create preview or test databases from production data workflows
Scale Postgres resources with changing application load
Route AI requests through one gateway and billing surface
Compare before choosing
Choose Neon when database branching is central to the development workflow
Compare variable usage charges with fixed-capacity database hosting
Check beta-service maturity and regional model access before production adoption
Features
Database branching
Create editable copy-on-write database branches for development and testing.
Serverless Postgres
Scale database compute, memory, and storage with application workload.
Backend services for AI apps
Use authentication, functions, object storage, and a multi-model AI Gateway alongside Postgres.
Pros
- Autoscaling can lower the cost of idle database capacity.
- Database branches isolate development and testing workflows.
- Multiple backend services work alongside managed Postgres.
Cons
- AI model charges vary with model choice and token usage.
- Model availability can differ by region and account rollout.
- Several newer backend services are still in beta.
Pricing Plans
AI Gateway usage-based
- Separate input and output token rates
- One API for multiple hosted models
- Model availability may vary by region
* Pricing information is for reference only. Please refer to the latest announcement on Neon's official website.