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ApsaraDB for ClickHouse:Billing for pay-as-you-go Enterprise Edition clusters

Last Updated:Dec 26, 2025

ApsaraDB for ClickHouse Enterprise Edition clusters incur fees for computing and storage resources. This topic details the billing for each item.

Important

The prices in this topic are for reference only. For actual pricing, refer to the console.

Computing resource fees

Pay-as-you-go computing resources are billed per second based on actual usage, requiring no upfront payment. Resources are measured in ClickHouse Compute Units (CCUs), where one CCU is equivalent to 1 vCore and 4 GB of memory. If the computing resource usage of an instance can be estimated in advance, purchasing a computing resource plan can offset the computing resource costs, reducing the unit cost by approximately 51%. For more information about Computing Resource Plans, see Computing Resource Plans.

  • Billing formula: Computing Resource Fee = Unit Price of Computing Resource × Computing Resource Usage × Usage Duration (Usage duration = Seconds used / 3600).

  • Unit price of computing resource:

    Region

    Unit price of computing resource

    China (Hangzhou), China (Shanghai), China (Beijing), China (Shenzhen)

    $0.07737/CCU/hour

    China (Hong Kong)

    $0.21794/CCU/hour

    Singapore

    $0.20595/CCU/hour

    Japan (Tokyo)

    $0.20995/CCU/hour

    Indonesia (Jakarta)

    $0.205950/CCU/hour

    Malaysia (Kuala Lumpur)

    $0.195150/CCU/hour

    Philippines (Manila)

    $0.185350/CCU/hour

    US (Virginia)

    $0.18295/CCU/hour

    Germany (Frankfurt)

    $0.20195/CCU/hour

Storage resource fees

Storage resources for a cluster are metered and billed on an hourly basis. You are billed for the amount of storage resources used per hour, and no upfront purchase is required. The billing unit is the gigabyte (GB). If the storage usage of an instance can be reasonably estimated, purchasing a Storage Resource Plan can offset pay-as-you-go bills, reducing the unit storage cost by approximately 51%. For more information about Storage Resource Plans, see Storage Resource Plans.

  • Billing formula: Storage Resource Fee = Unit Price of Storage Resource × Storage Resource Usage × Usage Duration.

  • Unit price of storage resources:

    Important

    For pay-as-you-go instances using ESSD_L1 and ESSD_L2 cloud disks, the unit price is the same for pre-purchased storage and for pay-as-you-go storage. We recommend purchasing adequate pre-purchased storage capacity based on your actual data usage and bandwidth needs to ensure sufficient cluster throughput. For details on the relationship between cluster bandwidth and pre-purchased storage capacity, see Usage limits.

    Region

    Storage type

    Single-AZ

    Multi-AZ

    China (Hangzhou), China (Shanghai), China (Beijing), China (Shenzhen)

    OSS

    $0.000047/GB/hour

    $0.000063/GB/hour

    ESSD_L1

    $0.000319/GB/hour

    $0.000398/GB/hour

    ESSD_L2

    $0.000638/GB/hour

    $0.000797/GB/hour

    China (Hong Kong)

    OSS

    $0.000047/GB/hour

    $0.000055/GB/hour

    ESSD_L1

    $0.000279/GB/hour

    $0.000348/GB/hour

    ESSD_L2

    $0.000557/GB/hour

    $0.000697/GB/hour

    Singapore

    OSS

    $0.000047/GB/hour

    $0.000055/GB/hour

    ESSD_L1

    $0.000253/GB/hour

    $0.000317/GB/hour

    ESSD_L2

    $0.000506/GB/hour

    $0.000633/GB/hour

    Japan (Tokyo)

    OSS

    $0.000047/GB/hour

    Multi-AZ deployment is not supported.

    ESSD_L1

    $0.0002532/GB/hour

    Multi-AZ deployment is not supported.

    ESSD_L2

    $0.0005064/GB/hour

    Multi-AZ deployment is not supported.

    Malaysia (Kuala Lumpur)

    OSS

    $0.000047/GB/hour

    Multi-AZ deployment is not supported.

    Indonesia (Jakarta)

    OSS

    $0.000047/GB/hour

    $0.000055/GB/hour

    Philippines (Manila)

    OSS

    $0.000044/GB/hour

    Multi-AZ deployment is not supported.

    US (Virginia)

    OSS

    $0.000044/GB/hour

    Multi-AZ deployment is not supported.

    Germany (Frankfurt)

    OSS

    $0.000047/GB/hour

    Multi-AZ deployment is not supported.