20.10.2025

Mathesar - an intuitive interface for working with PostgreSQL without SQL

Mathesar is an open-source tool that provides an intuitive spreadsheet-like interface for working with PostgreSQL data. It allows users of all technical skill levels to view, edit, query, and collaborate on data directly - without the need to write SQL queries. Mathesar is self-hosted and uses PostgreSQL’s native access control mechanisms.

Project repository: github.com/mathesar-foundation/mathesar

Why You Need Mathesar

Working with a PostgreSQL database often requires SQL knowledge and administrative skills. However, in many organizations, data is handled not only by developers but also by analysts, managers, and specialists without programming experience.

Mathesar solves this problem by providing an easy-to-use visual interface similar to familiar spreadsheets, but with the full power of PostgreSQL behind it.
It helps you:

This makes Mathesar an ideal solution for small teams and organizations that want to simplify database interaction without losing control or security.

How Mathesar Works

Mathesar can be installed locally or on a server and connects to an existing PostgreSQL database. Once connected, users gain access to their data through a web interface where each table is presented as an interactive spreadsheet — similar to Excel or Google Sheets.

Key features include:

Example Usage

You can install Mathesar using Docker or manually by following the project’s repository instructions:

git clone https://github.com/mathesar-foundation/mathesar.git cd mathesar docker-compose up

Once launched, Mathesar will be available in your browser, where you can connect your PostgreSQL database and start working with tables right away:

http://localhost:8000

Advantages of Using Mathesar

Conclusion

Mathesar is a powerful tool that combines the simplicity of spreadsheets with the reliability of relational databases. It makes PostgreSQL accessible to everyone — from developers to business analysts — and is perfect for teams that want to work with data flexibly, securely, and without unnecessary complexity.

FAQ