Prior to Redash, we tried to use traditional BI suites and discovered a set of bloated, technically challenged and slow tools/flows. What we were looking for was a more hacker'ish way to look at data, so we built one.
redash alternatives and similar packages
Based on the "Data Visualization" category.
Alternatively, view Redash alternatives based on common mentions on social networks and blogs.
9.8 9.9 L2 redash VS Apache SupersetApache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
9.3 9.5 L2 redash VS plotlyThe interactive graphing library for Python (includes Plotly Express) :sparkles:
7.9 8.9 L2 redash VS PyQtGraphFast data visualization and GUI tools for scientific / engineering applications
4.0 9.6 redash VS ipyvizzuBuild animated charts in Jupyter Notebook and in many other environments with a simple Python syntax.
* 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 CloudWatch / Insights
- Amazon DynamoDB
- Amazon Redshift
- Axibase Time Series Database
- Apache Cassandra
- DB2 by IBM
- Apache Drill
- Apache Druid
- Eccenca Corporate Memory
- Microsoft Excel
- Google Analytics
- Google BigQuery
- Google Spreadsheets
- Apache Hive
- Apache Impala
- IBM Netezza Performance Server
- JIRA (JQL)
- Apache Kylin
- OmniSciDB (Formerly MapD)
- Microsoft Azure Data Warehouse / Synapse
- Microsoft Azure SQL Database
- Microsoft Azure Data Explorer / Kusto
- Microsoft SQL Server
- Apache Phoenix
- Apache Pinot
- 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.