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pricing.md

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{{ dataproc-full-name }} pricing policy
This article provides the {{ dataproc-name }} pricing policy.
false

{{ dataproc-name }} pricing policy

{% include currency-choice %}

{% include without-use-calculator %}

{% include link-to-price-list %}

What goes into the cost of using {{ dataproc-name }} {#rules}

The total cost of using {{ dataproc-name }} includes:

  • The cost of using the computing resources of {{ compute-full-name }} VMs to deploy hosts.
  • Markup on computing resources for using the {{ dataproc-name }} managed service.
  • Using the {{ compute-name }} network drives.
  • Using {{ cloud-logging-full-name }} to collect and store logs.
  • Amount of outgoing traffic.

{% include pricing-gb-size %}

Using computing resources {#rules-compute}

The cost is charged per hour of host virtual machine time as part of {{ compute-name }} based on the {{ compute-full-name }} computing resource pricing policy with a surcharge for using managed {{ dataproc-name }}.

For information about external IP pricing, see {#T} in the {{ vpc-full-name }} documentation.

Disk space usage {#rules-storage}

The amount of storage requested for each cluster host is charged under {{ compute-name }} based on disk space pricing.

Using {{ cloud-logging-full-name }} {#rules-logs}

You pay for receiving and storing your logs based on the {{ cloud-logging-full-name }} pricing policy.

Example of calculating the cost of standard hosts {#price-example}

Per-hour cost of using a cluster of two subclusters with the following parameters:

  • First subcluster:

    • Master host: m2.micro class, Intel Cascade Lake, 2 × 100% vCPU, 16 GB RAM.
    • Master host storage: 20 GB network-ssd.

  • Second subcluster:

    • Data storage host: s2.micro class, Intel Cascade Lake, 2 × 100% vCPU, 8 GB RAM.
    • Host storage: 100 GB network-hdd.

The cost is calculated as follows:

{% list tabs %}

  • Standard hosts

    Per-hour cost of using a cluster of two subclusters with the following parameters:

    • First subcluster:

      • Master host: m2.micro class, Intel Cascade Lake, 2 × 100% vCPU, 16 GB RAM.
      • Master host storage: 20 GB network-ssd.

    • Second subcluster:

      • Data storage host: s2.micro class, Intel Cascade Lake, 2 × 100% vCPU, 8 GB RAM.
      • Host storage: 100 GB network-hdd.

    The cost is calculated as follows:

    {% include usd-data-proc %}

{% endlist %}

Prices for the Russia region {#prices}

{% include pricing-diff-regions %}

All prices below do not include VAT.

{% include pricing-month-term %}

Host computing resources {#prices-hosts}

Standard hosts {#standard-hosts}

{% include usd-standard-hosts %}

Dedicated hosts {#dedicated-hosts}

The cost is made up of two components: the cost of {{ compute-full-name }} computing resources and {{ dataproc-name }} charges for these resources.

{% include usd-dedicated-hosts %}

{% note info %}

To access GPUs on {{ dataproc-name }} hosts, please submit a request to [technical support]({{ link-console-support }}).

{% endnote %}

{% include egress-traffic-pricing %}