> ## Documentation Index
> Fetch the complete documentation index at: https://private-7c7dfe99-mintlify-fbfa8bee.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

> You can ingest data into ClickHouse using Google Dataflow templates

# Google Dataflow templates

export const ClickHouseSupportedBadge = () => {
  return <div className="ClickHouseSupportedBadge">
            <div className="ClickHouseSupportedIcon">
                <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg">
                    <path d="M1.30762 1.39073C1.30762 1.3103 1.37465 1.22986 1.46849 1.22986H2.64824C2.72868 1.22986 2.80912 1.29689 2.80912 1.39073V14.4886C2.80912 14.5691 2.74209 14.6495 2.64824 14.6495H1.46849C1.38805 14.6495 1.30762 14.5825 1.30762 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M4.2832 1.39073C4.2832 1.3103 4.35023 1.22986 4.44408 1.22986H5.62383C5.70427 1.22986 5.7847 1.29689 5.7847 1.39073V14.4886C5.7847 14.5691 5.71767 14.6495 5.62383 14.6495H4.44408C4.36364 14.6495 4.2832 14.5825 4.2832 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M7.25977 1.39073C7.25977 1.3103 7.3268 1.22986 7.42064 1.22986H8.60039C8.68083 1.22986 8.76127 1.29689 8.76127 1.39073V14.4886C8.76127 14.5691 8.69423 14.6495 8.60039 14.6495H7.42064C7.3402 14.6495 7.25977 14.5825 7.25977 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M10.2354 1.39073C10.2354 1.3103 10.3024 1.22986 10.3962 1.22986H11.576C11.6564 1.22986 11.7369 1.29689 11.7369 1.39073V14.4886C11.7369 14.5691 11.6698 14.6495 11.576 14.6495H10.3962C10.3158 14.6495 10.2354 14.5825 10.2354 14.4886V1.39073Z" fill="currentColor" />
                    <path d="M13.2256 6.6057C13.2256 6.52526 13.2926 6.44482 13.3865 6.44482H14.5662C14.6466 6.44482 14.7271 6.51186 14.7271 6.6057V9.27354C14.7271 9.35398 14.6601 9.43442 14.5662 9.43442H13.3865C13.306 9.43442 13.2256 9.36739 13.2256 9.27354V6.6057Z" fill="currentColor" />
                </svg>
            </div>
            ClickHouse Supported
        </div>;
};

Google Dataflow templates provide a convenient way to execute prebuilt, ready-to-use data pipelines without the need to write custom code. These templates are designed to simplify common data processing tasks and are built using [Apache Beam](https://beam.apache.org/), leveraging connectors like `ClickHouseIO` for seamless integration with ClickHouse databases. By running these templates on Google Dataflow, you can achieve highly scalable, distributed data processing with minimal effort.

<h2 id="why-use-dataflow-templates">
  Why use Dataflow templates?
</h2>

* **Ease of Use**: Templates eliminate the need for coding by offering preconfigured pipelines tailored to specific use cases.
* **Scalability**: Dataflow ensures your pipeline scales efficiently, handling large volumes of data with distributed processing.
* **Cost Efficiency**: Pay only for the resources you consume, with the ability to optimize pipeline execution costs.

<h2 id="how-to-run-dataflow-templates">
  How to run Dataflow templates
</h2>

As of today, the ClickHouse official template is available via the Google Cloud Console, CLI or Dataflow REST API.
For detailed step-by-step instructions, refer to the [Google Dataflow Run Pipeline From a Template Guide](https://cloud.google.com/dataflow/docs/templates/provided-templates).

<h2 id="list-of-clickhouse-templates">
  List of ClickHouse Templates
</h2>

* [BigQuery To ClickHouse](/integrations/connectors/data-ingestion/GCP/google-dataflow/templates/bigquery-to-clickhouse)
* [Pub/Sub To ClickHouse](/integrations/connectors/data-ingestion/GCP/google-dataflow/templates/pubsub-to-clickhouse)
* [GCS To ClickHouse](https://github.com/ClickHouse/DataflowTemplates/issues/3) (coming soon!)