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getredash avatar

getredash/redash

0
View on GitHub↗
28,653 estrellas·4,604 forks·Python·BSD-2-Clause·10 vistasredash.io↗

Redash

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.

The platform distinguishes itself through its data source connectors, which integrate with various SQL, NoSQL, and API-based stores to retrieve information for analysis. It enables self-service analytics by allowing users to run queries with dynamic parameters and supports shared data reporting via public links or embedded dashboards.

The system covers a broad range of capabilities, including a data visualization engine for creating charts and maps, automated data alerting for monitoring query thresholds, and role-based access control for managing user permissions. It also includes utilities for database schema browsing and exporting query results.

Administration is supported through a command-line interface for system tasks and database schema initialization.

Features

  • Business Intelligence Dashboards - Provides a comprehensive business intelligence dashboard for monitoring company performance and trends via visual widgets.
  • SQL-Driven Visualization - Transforms raw SQL query results directly into a variety of maps, charts, and tables.
  • Self-Hosted Analytics Platforms - Provides a self-hosted, open-source system for transforming raw data into visual reports and monitoring alerts.
  • Self-Service Business Intelligence - Empowers non-technical team members to run their own queries using dynamic parameters without writing code.
  • Data Source Connections - Provides interfaces for establishing connections to a wide variety of external SQL, NoSQL, and API-based data sources.
  • Data Visualization - Transforms structured query results into a variety of interactive charts, maps, tables, and funnels.
  • Database Driver Abstractions - Implements a standardized abstraction layer to ensure uniform query execution across diverse SQL and NoSQL drivers.
  • Remote Data Source Connectors - Integrates with various SQL, NoSQL, and API-based data stores to retrieve information for analysis.
  • Visualization Platforms - Provides a visualization platform that transforms SQL data into interactive, shareable dashboards.
  • SQL Query Interfaces - Offers a web-based interface for writing, executing, and scheduling database queries with dynamic parameters.
  • Role-Based Access Control - Restricts data source and dashboard visibility by mapping user identities to specific permission groups and roles.
  • Alerts and Notifications - Monitors query results and sends external notifications when specific data conditions are met.
  • Query Output Caches - Stores query outputs in a cache layer to ensure fast dashboard loading and reduce load on remote data sources.
  • Query Parameter Filters - Allows users to add dynamic inputs to queries to filter results by dates or text without modifying SQL code.
  • Multi-Source Data Aggregation - Enables the retrieval and aggregation of information across various data store types for comprehensive analysis.
  • Dynamic Parameter Injection - Injects dynamic user inputs into raw data queries at runtime to filter results without manual code modification.
  • RESTful - Exposes backend data services and query management to the frontend through a standardized RESTful API gateway.
  • Background Job Processing - Offloads intensive data tasks to background workers to maintain a responsive user interface.
  • Identity Provider Integrations - Integrates with external identity providers to synchronize user identities and manage secure logins.
  • User Access Management - Controls user permissions and group memberships to restrict access to specific queries and dashboards.
  • Redis-Backed Queues - Uses a Redis-backed distributed task queue to manage asynchronous query execution and scheduled jobs.
  • SQL Query Schedulers - Automates the periodic execution of database queries to keep data visualizations current.
  • Automated Alerting Workflows - Monitors query results and triggers notifications when data hits predefined thresholds or conditions.
  • Dashboard Sharing - Generates public links and embeds to share interactive data visualizations with external stakeholders.
  • Grid Layouts - Provides a grid layout system for arranging multiple visualizations into a single monitoring view.
  • Visualization and Analysis - Visualization framework for querying and displaying big datasets.
  • Analytics - Data visualization and dashboarding platform for multiple data sources.
  • Analytics and Search - Platform for data visualization and dashboarding.
  • Analytics Platforms - Dashboarding and visualization tool for various data sources.
  • Analytics Tools - Listed in the “Analytics Tools” section of the Awesome Selfhosted awesome list.
  • Business Intelligence - Platform for querying and visualizing data sources.
  • Dashboards and BI - Tool for visualizing and sharing data insights.
  • Data Management Systems - Dashboard construction and data visualization for business intelligence.
  • Data Processing - Query, share, and visualize database datasets.
  • Data Visualization - Data visualization and dashboarding tool.
  • Databases & Data - Data visualization and analytics.
  • Database GUI Clients - Platform for connecting, visualizing, and sharing database data.
  • Open Source Projects - Data visualization and dashboarding platform.

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Preguntas frecuentes

¿Qué hace getredash/redash?

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.

¿Cuáles son las características principales de getredash/redash?

Las características principales de getredash/redash son: 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.

¿Qué alternativas de código abierto existen para getredash/redash?

Las alternativas de código abierto para getredash/redash incluyen: 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…

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