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Redash is an open-source data query, analysis, and visualization tool focused on simplifying the data exploration and collaboration process, suitable for enterprise-level data analysis scenarios.
Redash Features:
- Browser-based: All operations are completed in the browser, supporting the generation of shareable URLs.
- Ease of use: You can efficiently process data immediately without mastering complex software.
- Query Editor: Quickly write SQL and NoSQL queries through the schema browser and auto-completion features.
- Visualization and Dashboards: Create beautiful visualizations through drag-and-drop operations and combine them into a single dashboard.
- Sharing Function: Easily share visualizations and their associated queries, supporting peer review of reports and queries.
- Scheduled Refresh: Automatically update charts and dashboards at custom time intervals.
- Alert Function: Define conditions and receive immediate alerts when data changes.
- REST API: All operations that can be completed in the user interface can also be achieved through the REST API.
- Wide Range of Data Source Support: An extensible data source API natively supports many common databases and platforms.
This project provides an open-source image product Redash Data Query and Visualization Tool, which has pre-installed the Redash software and its related operating environment and provides a deployment template. Come and refer to the usage guide to easily start an "out-of-the-box" and efficient experience!
System requirements are as follows:
- CPU: 2GHz or higher
- RAM: 4GB or larger
- Disk: At least 40GB
Register a Huawei account and activate Huawei Cloud
| Image Specification | Feature Description | Remarks |
|---|---|---|
| Redash-25.1-kunpeng | Installed and deployed based on Kunpeng servers + Huawei Cloud EulerOS 2.0 64-bit |
- For more questions, you can contact us through issues or the service support of the specified product in the Huawei Cloud Marketplace.
- You can view other open-source images at open-source-image-repos
- Fork this repository and submit a merge request.
- Synchronously update README.md based on your open-source image information.