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docs/en/integrations/data-ingestion/clickpipes/images/clickpipes_stack.png
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--- | ||
sidebar_label: ClickPipes | ||
description: Integrating Kafka with ClickHouse | ||
sidebar_label: ClickPipes (New) | ||
description: Seamlessly connect your external data sources to ClickHouse Cloud. | ||
slug: /en/integrations/clickpipes | ||
--- | ||
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import KafkaSVG from "../../images/logos/kafka.svg"; | ||
import ConfluentSVG from "../../images/logos/confluent.svg"; | ||
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# Integrating Kafka with ClickHouse Cloud | ||
test | ||
[ClickPipes](https://clickhouse.com/cloud/clickpipes) is a managed integration platform that makes ingesting data from a diverse set of sources as simple as clicking a few buttons. Designed for the most demanding workloads, ClickPipes's robust and scalable architecture ensures consistent performance and reliability. | ||
<br/> | ||
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<img src={require('./images/clickpipes_stack.png').default} class="image" alt="ClickPipes Stack Illustration"/> | ||
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<br/> | ||
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:::note | ||
ClickPipes is a native capability of [ClickHouse Cloud](https://clickhouse.com/cloud) currently under private preview. | ||
ClickPipes is a native capability of [ClickHouse Cloud](https://clickhouse.com/cloud) currently under private preview. You can join [our waitlist here](https://clickhouse.com/cloud/clickpipes#joinwaitlist) | ||
::: | ||
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## Supported Data Sources | ||
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## Introduction | ||
|Name|Logo|Type|Description| | ||
|------|----|----------------|------------------| | ||
|Confluent Cloud|<ConfluentSVG style={{width: '3rem'}} />|Streaming|Unlock the combined power of Confluent and ClickHouse Cloud through our direct integration.| | ||
|Apache Kafka|<KafkaSVG style={{width: '3rem', 'height': '3rem'}} />|Streaming|Configure ClickPipes and start ingesting streaming data from Apache Kafka into ClickHouse Cloud.| | ||
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More connectors are will get added to ClickPipes, you can find out more by [contacting us](https://clickhouse.com/company/contact?loc=clickpipes). | ||
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## Setup | ||
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## Supported data formats | ||
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The supported formats are: | ||
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| Format | Support | | ||
|-------------------------------------------------------------------------------------------|-------------| | ||
| [JSON](../../../interfaces/formats.md#json) | ✔ | | ||
| [AvroConfluent](../../../interfaces/formats.md#data-format-avro-confluent) |*Coming Soon*| | ||
| [TabSeparated](../../../interfaces/formats.md#tabseparated) |*Coming Soon*| | ||
| [CSV](../../../interfaces/formats.md#csv) |*Coming Soon*| | ||
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## Supported data types | ||
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The following ClickHouse types are currently supported by the transform package (with standard JSON as the source): | ||
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- Base numeric types | ||
- Int8 | ||
- Int16 | ||
- Int32 | ||
- Int64 | ||
- UInt8 | ||
- UInt16 | ||
- UInt32 | ||
- UInt64 | ||
- Float32 | ||
- Float64 | ||
- Boolean | ||
- String | ||
- Date | ||
- DateTime | ||
- DateTime64 | ||
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Nullable versions of all of the above are also supported. | ||
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- Enum8/Enum16 (Nullable Enums not supported) | ||
- LowCardinality(String) LowCardinality(Nullable(String)) is not supported | ||
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- Map with keys and values using any of the above types (including Nullables) | ||
- Array with elements using any of the above types (including Nullables, one level depth only) | ||
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## Limitations |
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