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Neon

Neon

Serverless Postgres — ship faster.

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Serverless Postgres by Databricks with autoscaling, database branching, instant restore, and a Data API — built for the modern development workflow.

Value Proposition

Serverless Postgres that scales automatically, branches like Git, and costs nothing when idle — purpose-built for modern cloud-native and AI-agent workloads.

Problem Solved

Eliminates the overhead of provisioning and managing Postgres servers while enabling Git-like database branching workflows that traditional databases don't support.

Target Audience

Developers and teams building serverless applications, AI agents, or multi-tenant SaaS products who need a modern, scalable Postgres experience without managing infrastructure.

Life Without Neon

×No idle compute costs — Neon scales to zero automatically
×No manual server provisioning or instance sizing
×No separate branch databases to manually manage for dev and test
×No complex migration setup — standard Postgres compatible

Life With Neon

Serverless Postgres that scales to zero when not in use
Database branching — create instant copy-on-write branches for dev and test
Autoscaling compute that matches traffic automatically
Instant restore for fast recovery from mistakes
Built-in authentication directly in the database
REST Data API for HTTP-based database access
Read replicas for scaling read-heavy workloads
Unlimited team members on all plans including Free

Questions & Answers

Neon's key differentiators are its serverless architecture with scale-to-zero billing and database branching. You can create instant copy-on-write branches of your database for development, testing, or per-tenant isolation — similar to Git branching — without duplicating storage.

Yes. Neon is 100% standard Postgres — any ORM, framework, or tool that works with Postgres (Prisma, Drizzle, SQLAlchemy, etc.) works with Neon without any modifications.

Yes. Neon is purpose-built for AI agent use cases — its API-driven database creation, branching, and scale-to-zero behavior make it ideal for spawning per-agent or per-session databases dynamically, which is a common pattern in agentic architectures.

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