This topic describes the business intelligence (BI) tools, database management tools, and extract, transform, load (ETL) tools that you can connect to MaxCompute.
The following figure shows the ecosystem architecture of MaxCompute. 
BI tools
After you obtain data from computing engines, you can use BI tools to visualize data on dashboards or in charts or graphs. Data visualization helps you make informed business decisions.
The following table describes the BI tools that are supported by MaxCompute.
BI tools
Tool
Required version
Access method
References
Tableau
Tableau: Tableau Desktop 2019.4 and later
MaxCompute: JDBC driver V3.0.1 and later
Yonghong BI
Yonghong Desktop: V8.6 and later
Quick BI
No special requirements
Open source BI tools
Tool
Required version
Access method
References
Superset
Superset: no special requirements
Python on MaxCompute (PyODPS): V0.10.7 and later
Database management tools
Database management tools are GUI tools that are necessary for personnel who manage databases. These tools help the personnel query data.
The following table describes the database management tools that are supported by MaxCompute.
Tool | Required version | Access method | References |
DBeaver |
| ||
DataGrip |
| ||
SQL Workbench/J |
|
ETL tools
ETL is a procedure to extract data from the source, transform the data, and load the data to the destination.
The following table describes the ETL tools that are supported by MaxCompute.
Tool | Access method |
Kettle | |
Apache Airflow | |
Azkaban |