Supabase is an open-source backend platform that provides a full PostgreSQL database along with built-in authentication, real-time subscriptions, and instant RESTful APIs. It enables developers to quickly build and scale applications without the need for complex server management, addressing the challenges of backend infrastructure setup and maintenance.
Funding
$960M 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.
+12Founders
Product
Problem
Setting up and maintaining backend infrastructure, including databases, authentication, and APIs, can be complex and time-consuming for developers. Managing servers and ensuring scalability adds further challenges, diverting resources from core application development.
Solution
Supabase is an open-source backend platform that simplifies application development by providing a suite of integrated tools and services. It offers a fully managed PostgreSQL database, authentication, real-time subscriptions, and auto-generated RESTful APIs. The platform enables developers to quickly build and scale applications without the complexities of backend server management. Supabase provides a comprehensive set of features that are typically needed when building a modern application, allowing developers to focus on the frontend and user experience.
Target Audience
The primary users are web and mobile application developers, ranging from indie hackers to fast-growing companies, who need a scalable and easy-to-use backend solution.
Features
- Fully managed PostgreSQL database for reliable data storage and management
- Built-in authentication system with Row Level Security (RLS) for secure user management
- Instant, auto-generated RESTful APIs for seamless data access and manipulation
- Realtime subscriptions for building collaborative and interactive applications
- Edge Functions for writing custom server-side logic without managing servers
- Storage solution for storing and serving large files, such as videos and images
- Vector embeddings for integrating machine learning models and performing vector searches
- Table editor, SQL editor, and RLS policies accessible through a dashboard