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Quick BI supports a variety of data source connections, and adding a data source is the first step in data analysis and visualization. The following is a detailed introduction to the product's data source support.

Quick BI is a cloud-based lightweight self-service BI tool platform that provides real-time analysis of large data, drag-and-drop operations, and rich visualization effects. It not only serves as a tool for business users to view data but also acts as an assistant for data-driven operations, solving the "last mile" problem for big data applications and enabling everyone to become a data analyst.

The core workflow of the product is illustrated in the following figure.

Quick BI seamlessly integrates with cloud databases, supporting multiple data sources including but not limited to MaxCompute, RDS (MySQL, PostgreSQL, SQL Server), Analytic DB, HybridDB (MySQL, PostgreSQL), ECS self-managed libraries, and local database connections. Below is a detailed overview of each data source.

Cloud Data Sources

Quick BI supports various cloud-based databases, including:

MaxCompute

• The database address remains unchanged by default.
• Ensure that the AccessId and AccessKey are configured with project-level admin or owner permissions for necessary privileges (e.g., select, list, create instance).

Cloud Databases

• The product supports multiple RDS instances such as MySQL, PostgreSQL, and SQL Server.
• Additionally, it supports Analytic DB and HybridDB (MySQL, PostgreSQL).

ECS Self-Managed Libraries

• The product supports ECS self-managed database connections.
• Note: ECS self-managed database cross-network connections are currently in development.

Local Databases

• Local database connections require external IP addresses.
• Ensure that the database is accessible via the external IP address.

Other Data Sources

• Local Files: Supports Excel, CSV, and other file formats.
• DataIDE Data: Supports data from DataIDE.

Note

• Local file uploads are not supported in group spaces.

Quick BI is a powerful tool designed to help users easily visualize and analyze data. By supporting a wide range of data sources, it simplifies data integration and visualization, making it an excellent choice for businesses looking to leverage cloud-based analytics.

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