Connect SQL databases to build interactive charts and dashboards through a no-code interface or raw SQL queries.

Apache Superset is an open-source business intelligence web application that allows users to connect to SQL databases, explore data, and create interactive dashboards. The platform provides a centralized environment for data analysis and reporting, enabling teams to move from raw data to visual insights within a single interface.
The software is deployed as a server and accessed via a web browser. It serves as a data exploration and visualization platform for analysts, business users, and data engineers who need to transform raw data into visual reports without writing application code. By supporting a wide range of data sources, it allows organizations to maintain their data in existing stores while utilizing a unified visualization layer for business intelligence.
Built with Python and Flask on the backend and React on the frontend, the platform integrates with a variety of data sources including Presto, Trino, and Athena. It provides a structured permission system through Role-Based Access Control (RBAC) to manage how different users interact with specific datasets and dashboards. The system includes a dedicated administrator guide for managing security and scaling, as well as a developer guide for those building on its REST API and extension framework. The architecture is specifically designed to handle large-scale deployments in cloud environments, ensuring that the application remains responsive as data volumes grow.
Apache Superset is an enterprise-ready data visualization tool for teams seeking a flexible, vendor-neutral business intelligence stack.
A business intelligence platform for data exploration and visualization that allows users to query databases without SQL.
A data visualization and analytics platform for querying data sources and creating interactive dashboards via SQL.
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