Compute Engines for Real-Time and Offline Workloads - Dataphin - Alibaba Cloud - Dataphin

After the tenant's computing settings, 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.
Hadoop	Tenants with Hadoop as their computing setting can create the following compute engines: Offline compute engines Hadoop compute engines: Support standard modeling, ad hoc queries, Hive SQL tasks, and general scripts. For details, see Create Hadoop compute engines. Real-time compute engines Flink compute engines: Optimized for Flink tasks. For setup instructions, see Create Flink compute engines.
AnalyticDB for PostgreSQL	Tenants with AnalyticDB for PostgreSQL as their computing setting can create the following compute engines: Offline compute engines AnalyticDB for PostgreSQL compute engines: Support ADB SQL tasks, ad hoc queries, and general scripts. For more details, see Create AnalyticDB for PostgreSQL compute engines. Real-time compute engines Ververica Flink compute engines: Designed for Flink tasks. For details, see Create Ververica Flink compute engines. Flink compute engines: Optimized for Flink tasks. For details, see Create Flink compute engines.
Transwarp TDH 6.x	Tenants with Transwarp TDH 6.x as their computing setting can create the following compute engines: Offline compute engines TDH Inceptor compute engines: Support Inceptor SQL tasks. For setup instructions, see Create TDH Inceptor compute engines. Real-time compute engines Flink compute engines: Optimized for Flink tasks. For details, see Create Flink compute engines.
Transwarp ArgoDB	Tenants with Transwarp TDH 6.x as their computing setting can create the following compute engines: Offline compute engines ArgoDB compute engines: Support ad hoc queries and ArgoDB SQL compute tasks. For details, see Create ArgoDB compute engines. Real-time compute engines Not supported.