Redash Data Visualization Platform

Redash is an open-source data visualization and dashboarding platform designed to help teams make sense of their data through SQL queries, visualizations, and shared dashboards. Originally created at Conductor in 2013 by Arik Fraimovich to streamline data analysis workflows, Redash was later acquired by Databricks in 2020 while maintaining its open-source edition. Key features: SQL-based data exploration connecting to over 35 data sources including PostgreSQL, MySQL, Redshift, BigQuery, Snowflake, Elasticsearch, MongoDB, Presto, Hive, Oracle, SQL Server, Google Analytics, and more via SQLAlchemy-based connectors. Query editor with syntax highlighting, auto-complete, schema browsing, and parameterized queries for interactive data exploration without writing code. Multiple visualization types including charts (line, bar, area, scatter, pie, funnel, boxplot, maps, pivot table, sankey, sunburst, word cloud, cohort), tables, counters, and custom visualizations. Dashboard composition for combining multiple visualizations from different data sources into a single interactive dashboard with auto-refresh and parameterized filters. Scheduled queries for running recurring reports and alerts at specified intervals with email delivery. Alerting system for monitoring data thresholds and sending notifications (email, Slack, PagerDuty, webhook) when conditions are met. User permissions and groups for controlling access to queries, dashboards, and data sources at granular levels. API and embeddable widgets for integrating Redash visualizations into external applications and websites. Query versioning for tracking changes and reverting to previous query versions. Query results caching for improved performance on expensive queries. Anonymous public links for sharing dashboards without authentication. Self-hosted open-source edition (AGPL) and managed cloud edition. Used by data teams at Mozilla, SoundCloud, Atlassian, and Waze.