Redash is an open-source business intelligence and data visualization platform written primarily in Python that enables organizations to connect to multiple data sources, query data, create visualizations, and build collaborative dashboards. The platform is designed to democratize data access by allowing both technical SQL users and non-technical team members to explore and share insights without requiring specialized software expertise.
The core functionality centers on a browser-based interface where users can write SQL and NoSQL queries using a built-in query editor with schema browsing and auto-complete capabilities. Once data is queried, users can create visualizations through a drag-and-drop interface and combine multiple visualizations into unified dashboards. All work is shareable via URLs, enabling team collaboration and peer review of both queries and reports. The platform includes scheduling capabilities for automatic chart and dashboard refreshes at user-defined intervals, as well as alert functionality that notifies users when specified data conditions are met.
Redash's data source support is exceptionally broad, with native integration for more than 35 SQL and NoSQL databases and platforms. The supported sources span major cloud data warehouses including Amazon Redshift, Google BigQuery, Snowflake, and Databricks, as well as traditional databases like PostgreSQL, MySQL, Oracle, and Microsoft SQL Server. The platform also connects to specialized systems including Elasticsearch, MongoDB, Apache Spark, ClickHouse, and numerous others, with an extensible API allowing custom data source implementations.
A REST API provides programmatic access to all functionality available through the user interface, enabling integration with external systems and automation of data workflows. The platform is distributed under the BSD-2-Clause license and includes ready-made deployment images for AWS and Google Cloud Engine, alongside comprehensive documentation and local development setup guides.
GitGenius activity tracking reveals the repository maintains active community engagement with a median issue and pull request response latency of 435.5 hours across 234 tracked items, though mean latency extends significantly higher at 17010 hours, indicating some older items receive delayed attention. The most frequently labeled issues fall into Support Question, Bug, and Frontend categories. Core contributors justinclift, eradman, and yoshiokatsuneo drive the majority of triage and development activity. The repository's contributor overlap with major projects including Microsoft's VSCode and TypeScript, as well as the Rust language project, suggests Redash attracts developers from high-profile open-source communities.
The platform serves millions of daily users across thousands of organizations globally, positioning it as a widely-adopted solution for enabling data-driven decision-making across enterprises of varying technical sophistication levels.
