Neon provides a serverless Postgres platform that enables developers to quickly provision databases, scale automatically based on load, and create isolated database copies for development and CI/CD through its branching feature. This technology addresses the challenges of managing database infrastructure, allowing teams to focus on building applications without the overhead of server maintenance.
Funding
$175.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AVNCFounders
Product
Problem
Managing traditional database infrastructure can be complex and time-consuming, requiring significant overhead for server maintenance, configuration, and scaling. Provisioning databases and creating isolated copies for development, testing, and CI/CD workflows often involves manual processes and delays.
Solution
Neon provides a serverless Postgres platform that simplifies database management and accelerates application development. The platform offers instant provisioning, automatic scaling based on load, and the ability to create isolated database copies through its branching feature. Neon's serverless architecture eliminates the need for server maintenance, allowing developers to focus on building applications. The platform also includes features like instant read replicas, point-in-time recovery, and an API and CLI for managing databases programmatically.
Target Audience
Neon is designed for software developers, DevOps engineers, and data scientists who need a scalable, reliable, and easy-to-manage Postgres database for building modern applications.
Features
- Instant provisioning of Postgres databases in approximately 300ms
- Autoscaling that automatically adjusts resources based on workload demands, including scaling to zero when idle
- Branching functionality for creating isolated database copies for development, CI/CD, and schema migrations using copy-on-write storage
- Serverless driver designed for fast queries over HTTP
- Instant read replicas that scale down to zero when idle without additional storage costs
- API and CLI for programmatic management of thousands of databases
- Point-in-time recovery with granularity down to the transaction or second
- HNSW index algorithm for efficient high-dimensional vector search, optimized for AI applications