Redash alternatives and similar software solutions
Based on the "Analytics" category.
Alternatively, view Redash alternatives based on common mentions on social networks and blogs.
10.0 10.0 L2 Redash VS ElasticsearchFree and Open, Distributed, RESTful Search Engine
9.9 9.9 L2 Redash VS SupersetApache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
9.8 10.0 Redash VS MetabaseThe simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
9.6 9.9 L3 Redash VS PiwikLiberating Web Analytics. Star us on Github? +1. Matomo is the leading open alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. We love Pull Requests!
9.3 9.9 Redash VS cube.js📊 Cube — Headless Business Intelligence for Building Data Applications
9.1 9.7 Redash VS PlausibleSimple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.
8.7 9.9 Redash VS PostHog🦔 PostHog provides open-source product analytics that you can self-host.
8.7 9.0 Redash VS SnowplowThe enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
8.5 6.7 Redash VS Fathom AnalyticsFathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.
8.5 8.2 L2 Redash VS CountlyCountly helps you get insights from your application. Available self-hosted or on private cloud.
8.0 0.0 L2 Redash VS ThinkUpThinkUp gives you insights into your social networking activity on Twitter, Facebook, Instagram, and beyond.
7.4 9.8 Redash VS RudderStackPrivacy and Security focused Segment-alternative, in Golang and React
7.0 8.9 L2 Redash VS Open Web AnalyticsOfficial repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
5.2 1.9 L2 Redash VS Rakam📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
4.8 9.5 Redash VS ChartbrewOpen-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊
3.3 9.7 Redash VS TelleryTellery lets you build metrics using SQL and bring them to your team. As easy as using a document. As powerful as a data modeling tool.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of Redash or a related project?
Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share data from any data sources. Their work in turn enables anybody in their organization to use the data. Every day, millions of users at thousands of organizations around the world use Redash to develop insights and make data-driven decisions.
- Browser-based: Everything in your browser, with a shareable URL.
- Ease-of-use: Become immediately productive with data without the need to master complex software.
- Query editor: Quickly compose SQL and NoSQL queries with a schema browser and auto-complete.
- Visualization and dashboards: Create beautiful visualizations with drag and drop, and combine them into a single dashboard.
- Sharing: Collaborate easily by sharing visualizations and their associated queries, enabling peer review of reports and queries.
- Schedule refreshes: Automatically update your charts and dashboards at regular intervals you define.
- Alerts: Define conditions and be alerted instantly when your data changes.
- REST API: Everything that can be done in the UI is also available through REST API.
- Broad support for data sources: Extensible data source API with native support for a long list of common databases and platforms.
Supported Data Sources
Redash supports more than 35 SQL and NoSQL data sources. It can also be extended to support more. Below is a list of built-in sources:
- Amazon Athena
- Amazon DynamoDB
- Amazon Redshift
- Axibase Time Series Database
- Databricks (Apache Spark)
- DB2 by IBM
- Google Analytics
- Google BigQuery
- Google Spreadsheets
- Apache Kylin
- OmniSciDB (Formerly MapD)
- Microsoft Azure Data Warehouse / Synapse
- Microsoft Azure SQL Database
- Microsoft SQL Server
- Shell Scripts
- Yandex AppMetrrica
- Yandex Metrica
Reporting Bugs and Contributing Code
- Want to report a bug or request a feature? Please open an issue.
- Want to help us build Redash? Fork the project, edit in a dev environment and make a pull request. We need all the help we can get!
Please email [email protected] to report any security vulnerabilities. We will acknowledge receipt of your vulnerability and strive to send you regular updates about our progress. If you're curious about the status of your disclosure please feel free to email us again. If you want to encrypt your disclosure email, you can use this PGP key.
*Note that all licence references and agreements mentioned in the Redash README section above are relevant to that project's source code only.