Redash is a self-hosted analytics platform and SQL data visualization tool. It provides a web-based SQL query editor for writing, executing, and scheduling database queries, and functions as a business intelligence dashboard for monitoring metrics via visual widgets.
Les fonctionnalités principales de getredash/redash sont : Business Intelligence Dashboards, SQL-Driven Visualization, Self-Hosted Analytics Platforms, Self-Service Business Intelligence, Data Source Connections, Data Visualization, Database Driver Abstractions, Remote Data Source Connectors.
Les alternatives open-source à getredash/redash incluent : metabase/metabase — Metabase is a business intelligence platform designed to connect to various storage systems and relational databases… apache/incubator-superset — This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting,… apache/superset — Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive… plausible/analytics — This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and… usefathom/fathom — Fathom is a privacy-focused website analytics server written in Go. It monitors website traffic and page views without… matomo-org/matomo — Matomo is a self-hosted web analytics platform designed to track user behavior and website performance while…
Metabase is a business intelligence platform designed to connect to various storage systems and relational databases for data exploration, visualization, and reporting. It provides a centralized environment where users can build queries through a graphical interface or raw code, transforming raw information into interactive dashboards and charts. The platform is built to support self-service analytics, allowing non-technical team members to extract insights without requiring deep knowledge of database syntax. The platform distinguishes itself through a metadata-driven modeling layer that abst
This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T
Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualiz
This project is an open-source, privacy-focused web analytics platform designed for high-throughput data ingestion and multi-tenant data management. It provides a cookie-less tracking engine that captures visitor interactions using ephemeral request metadata, ensuring comprehensive traffic visibility while maintaining strict privacy standards. The architecture utilizes an event-driven ingestion pipeline and aggregated metric storage to decouple data collection from processing, enabling efficient long-term retrieval and responsive dashboard performance. What distinguishes this platform is its