Neon is a serverless PostgreSQL database that automatically scales and supports database branching. It offers the full power of PostgreSQL without server management complexity, with pay-per-use pricing.

How does Motran use Neon?

Motran deploys Neon as the database for web applications and AI services with variable loads. We use branching for isolated development environments and benefit from automatic scalability for cost-efficient production hosting.

Which sectors benefit from Neon?

Neon is ideal for the financial sector with variable query patterns, retail with seasonal peaks, and healthcare with applications that need flexible scaling.

Neon.

Databases

Serverless PostgreSQL with automatic scaling and branching. Perfect for modern applications with variable workloads.

By Serverless Postgres

About

What is Neon?

Neon is a serverless PostgreSQL database that automatically scales based on usage and supports database branching. It combines the reliability of PostgreSQL with modern serverless architecture, so you only pay for what you use. Database branching makes it possible to have a separate database copy for each feature branch.

Our approach

How Motran uses Neon.

Motran uses Neon for web applications and AI applications with variable workloads. The serverless architecture means databases automatically scale up during peak loads and scale down during quiet periods. We leverage database branching to safely test new features without affecting production data.

Use cases

How Neon adds value.

Serverless database

Serverless database: Neon automatically scales with demand and pauses during inactivity, saving costs with variable workloads.

Database branching for development

Database branching for development: each feature branch gets its own database copy for safe, isolated testing.

Automatic scaling

Automatic scaling: from zero to thousands of concurrent connections without manual configuration or downtime.

Benefits

Sector benefits.

Neon is particularly suited for the financial sector where query patterns vary strongly throughout the day, the retail sector with seasonal peaks in database load, and healthcare where applications must flexibly scale with fluctuating demand.