Compute engines-Dataphin(Dataphin)-阿里云帮助中心

After are initialized, you can add compute engines to Dataphin and bind them to projects for task processing.

Feature overview

Add compute engines based on your business requirements. The following table describes the available compute engine types:

Computing settings

Compute engines

MaxCompute

Tenants using MaxCompute as their computing setting can create the following compute engines:

Offline compute engines
- MaxCompute Compute Engines: Support standard visual modeling, ad hoc queries, MAXC SQL tasks, general scripting, and more. For details, see Create MaxCompute Compute Engines.
- Hologres compute engines: Support ad hoc queries, Hologres SQL compute tasks, and more in attached projects. For details, see Create Hologres compute engines.
- Machine Learning PAI: Dataphin integrates with Platform for AI to provide algorithm scheduling capabilities. When setting up a workspace for visual modeling, select a MaxCompute-based computing resource group. For more information, see AI computing resources.
- Hologres Accelerated Compute Engines: You can add Hologres accelerated compute engines to projects that already use MaxCompute compute engines to improve query performance. For details, see Create Hologres Compute Engines.
Real-time compute engines
- Blink Compute Engines: Support Blink tasks in linked projects. For details, see Create Blink Compute Engines.
- Ververica Flink compute engines: Support Flink tasks in attached projects. For details, see Create Ververica Flink compute engines.