- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Cluster Scale-Out
- Cluster Scale-in
- Auto Scaling
- Repairing Disks
- Graceful Scale-In
- Disk Update Check
- Scaling up Cloud Disks
- Changing Configurations
- Automatic Replacement
- Exporting Software Configuration
- Cluster Scripts
- Cluster Termination
- Operation Logs
- Task Center
- Managing Service
- Managing Users
- Adding Components
- Restarting Service
- Starting/Stopping Services
- WebUI Access
- Resetting WebUI Password
- Software WebUI Entry
- Operation Guide for Access to WebUI over Private Network
- Role Management
- Client Management
- Configuration Management
- YARN Resource Scheduling
- HBase RIT Fixing
- Component Port Information
- Service Operation
- HBase Table-Level Monitoring
- Component Health Status
- Monitoring and Alarms
- Cluster Overview
- Node Status
- Service Status
- Cluster Event
- Log
- Application Analysis
- Cluster Inspection
- Monitoring Metrics
- Node Monitoring Metrics
- HDFS Monitoring Metrics
- YARN Monitoring Metrics
- ZooKeeper Monitoring Metrics
- HBase Monitoring Metrics
- Hive Monitoring Metrics
- Spark Monitoring Metrics
- Presto Monitoring Metrics
- Trino Monitoring Metrics
- ClickHouse Monitoring Metrics
- Druid Monitoring Metrics
- Kudu Monitoring Metrics
- Alluxio Monitoring Metrics
- PrestoSQL Monitoring Metrics
- Impala Monitoring Metrics
- Ranger Monitoring Metrics
- COSRanger Monitoring Metrics
- Doris Monitoring Metrics
- Kylin Monitoring Metrics
- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
- Kyuubi Monitoring Metrics
- StarRocks Monitoring Metrics
- Kafka Monitoring Metrics
- Alarm Configurations
- Alarm Records
- EMR Lite HBase Operation Guide
- Container-Based EMR
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
- Submitting MapReduce Tasks
- Automatically Adding Task Nodes Without Assigning ApplicationMasters
- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Best Practices
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Presto Development Guide
- Sqoop Development Guide
- Hue Development Guide
- Oozie Development Guide
- Flume Development Guide
- Kerberos Development Guide
- Knox Development Guide
- Alluxio Development Guide
- Kylin Development Guide
- Livy Development Guide
- Kyuubi Development Guide
- Zeppelin Development Guide
- Hudi Development Guide
- Superset Development Guide
- Impala Development Guide
- ClickHouse Development Guide
- Druid Development Guide
- TensorFlow Development Guide
- Jupyter Development Guide
- Kudu Development Guide
- Ranger Development Guide
- Doris Development Guide
- Kafka Development Guide
- Iceberg Development Guide
- StarRocks Development Guide
- Flink Development Guide
- RSS Development Guide
- Hadoop Development Guide
- Practical Tutorial
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- EMR on CVM Operation Guide
- Planning Cluster
- Configuring Cluster
- Managing Cluster
- Instance Information
- Node Specification Management
- Checking and Updating Public IP
- Cluster Scale-Out
- Cluster Scale-in
- Auto Scaling
- Repairing Disks
- Graceful Scale-In
- Disk Update Check
- Scaling up Cloud Disks
- Changing Configurations
- Automatic Replacement
- Exporting Software Configuration
- Cluster Scripts
- Cluster Termination
- Operation Logs
- Task Center
- Managing Service
- Managing Users
- Adding Components
- Restarting Service
- Starting/Stopping Services
- WebUI Access
- Resetting WebUI Password
- Software WebUI Entry
- Operation Guide for Access to WebUI over Private Network
- Role Management
- Client Management
- Configuration Management
- YARN Resource Scheduling
- HBase RIT Fixing
- Component Port Information
- Service Operation
- HBase Table-Level Monitoring
- Component Health Status
- Monitoring and Alarms
- Cluster Overview
- Node Status
- Service Status
- Cluster Event
- Log
- Application Analysis
- Cluster Inspection
- Monitoring Metrics
- Node Monitoring Metrics
- HDFS Monitoring Metrics
- YARN Monitoring Metrics
- ZooKeeper Monitoring Metrics
- HBase Monitoring Metrics
- Hive Monitoring Metrics
- Spark Monitoring Metrics
- Presto Monitoring Metrics
- Trino Monitoring Metrics
- ClickHouse Monitoring Metrics
- Druid Monitoring Metrics
- Kudu Monitoring Metrics
- Alluxio Monitoring Metrics
- PrestoSQL Monitoring Metrics
- Impala Monitoring Metrics
- Ranger Monitoring Metrics
- COSRanger Monitoring Metrics
- Doris Monitoring Metrics
- Kylin Monitoring Metrics
- Zeppelin Monitoring Metrics
- Oozie Monitoring Metrics
- Storm Monitoring Metrics
- Livy Monitoring Metrics
- Kyuubi Monitoring Metrics
- StarRocks Monitoring Metrics
- Kafka Monitoring Metrics
- Alarm Configurations
- Alarm Records
- EMR Lite HBase Operation Guide
- Container-Based EMR
- EMR Development Guide
- Hadoop Development Guide
- HDFS Common Operations
- HDFS Federation Management Development Guide
- HDFS Federation Management
- Submitting MapReduce Tasks
- Automatically Adding Task Nodes Without Assigning ApplicationMasters
- YARN Task Queue Management
- Practices on YARN Label Scheduling
- Hadoop Best Practices
- Using API to Analyze Data in HDFS and COS
- Dumping YARN Job Logs to COS
- Spark Development Guide
- Hbase Development Guide
- Phoenix on Hbase Development Guide
- Hive Development Guide
- Presto Development Guide
- Sqoop Development Guide
- Hue Development Guide
- Oozie Development Guide
- Flume Development Guide
- Kerberos Development Guide
- Knox Development Guide
- Alluxio Development Guide
- Kylin Development Guide
- Livy Development Guide
- Kyuubi Development Guide
- Zeppelin Development Guide
- Hudi Development Guide
- Superset Development Guide
- Impala Development Guide
- ClickHouse Development Guide
- Druid Development Guide
- TensorFlow Development Guide
- Jupyter Development Guide
- Kudu Development Guide
- Ranger Development Guide
- Doris Development Guide
- Kafka Development Guide
- Iceberg Development Guide
- StarRocks Development Guide
- Flink Development Guide
- RSS Development Guide
- Hadoop Development Guide
- Practical Tutorial
- API Documentation
- FAQs
- Service Level Agreement
- Contact Us
Billing Mode
EMR on TKE clusters support the pay-as-you-go mode. The cluster usage fees consist of the EMR service fees, the POD resource fees in the TKE cluster used for deployment services, and other associated cloud product fees.
Note
The EMR on TKE cluster price inquiry only displays the EMR service fees, fees for TencentDB for MySQL, and CBS fees. It does not include the TKE resource deployment fees and other associated cloud product fees.
Billing Items
The EMR on TKE cluster instance fees include all EMR service fees, TKE resource fees, and associated cloud product fees within the cluster. During usage, other cloud product resources such as EIP, TencentDB for MySQL, CBS, CHDFS, COS, and VPC may be used. These will be charged according to the respective billing methods for each cloud product. For detailed fee information, see the billing descriptions of each product.
Fee Types | Billing Items | Fee Description |
EMR Product Fees | Service Fees | Provide multi-dimensional management services for clusters, including page display and control, monitoring and alarm, job management, automated Ops, and other services. The service fees are calculated hourly based on the specifications and number of POD resources in the cluster. Tencent Cloud: CPU: USD 0.004617 per core per hour; Memory: USD 0.00192375 per GB per hour |
TKE Resource Fees | POD Resource Fees | The resources for service roles are provided by underlying containers for deployment, supporting both TKE Standard and TKE Serverless clusters. By scheduling container resources during off-peak hours relative to online services, it enables hybrid operations of both offline and online tasks, improving machine utilization. For more details, see the TKE Standard Cluster Billing Overview and TKE Serverless Cluster Billing Overview. |
Associated Cloud Product Fees | CLB | Some service roles support cross-container cluster access. When external access is enabled, one or more CLB instances are created, incurring corresponding fees. For detailed fee information, see the CLB Billing Overview. Both private network LB and public network LB access methods are supported. |
| TencentDB for MySQL | When one or more components such as Hive (local deployment), Hue, Ranger, Oozie, Druid, or Superset are deployed, a TencentDB for MySQL instance is required for metadata storage. The TencentDB for MySQL instance is purchased together with the cluster, and a corresponding order is generated for TencentDB for MySQL. The billing mode for TencentDB for MySQL is consistent with the cluster’s billing mode. For more details, see the TencentDB for MySQL Billing Overview and Cloud Database TencentDB for MySQL Pricing. |
| CBS | CBS provides data storage for containers. When the Create a PVC option is selected, at least one CBS volume needs to be purchased as a storage unit. The CBS fees are paid together with the cluster, and a corresponding order is generated on the CBS side. The billing mode for CBS is consistent with the cluster’s billing mode. For more details, see the Cloud Block Storage Billing Overview. |
| COS | When COS is used to implement compute-storage separation for the cluster, data storage and request fees are incurred as the cluster retrieves data from COS in response to compute requests. Additionally, new data may be generated in COS for purposes such as storing results or backups during computation. For more details, see the Cloud Object Storage Billing Overview and Cloud Object Storage Pricing. |
| CHDFS | When CHDFS is used to implement compute-storage separation for the cluster, data storage and request fees are incurred as the cluster retrieves data from CHDFS in response to compute requests. Additionally, new data may be generated in CHDFS for purposes such as storing results or backups during computation. For more details, see the Cloud HDFS Purchase Guide. |
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