Integrations
note
[WIP] We are currently actively compiling the list of ClickHouse integrations below so it's not yet exhaustive. Feel free to contribute any relevant ClickHouse integration to the list.
In the meantime, the interfaces list is still available here.
ClickHouse integrations are organized into Language client, Data ingestion, Data visualization, SQL client, and Migration categories. Additoinally, the integrations are organized by their support category: Core, Partner, and Community.
Core integrationsCore integrations are built or maintained by ClickHouse. These integrations are supported by ClickHouse and live in the ClickHouse GitHub organization.
| Name | Logo | Category | Description | Resources |
|---|---|---|---|---|
| Amazon S3 | Data ingestion | Import from, export to, and transform S3 data in flight with ClickHouse built in S3 functions and clickhouse-local. | Documentation | |
| ClickHouse Client | SQL client | ClickHouse Client is the native command-line client for ClickHouse. | Documentation | |
| DBeaver | SQL client | Free multi-platform database administration tool. Connects to Clickhouse through JDBC driver. | Documentation | |
| dbt | Data ingestion | Use dbt (data build tool) to transform data in ClickHouse by simply writing select statements. dbt puts the T in ELT. | Documentation | |
| Go | Language client | The Go client uses the native interface for a performant, low-overhead means of connecting to ClickHouse. | Documentation | |
| Java | Language client | The Java client is an async, lightweight, and low-overhead library for ClickHouse. | Documentation | |
| Kafka | Data ingestion | Bidirectional integration with Apache Kafka, the open-source distributed event streaming platform. | Documentation | |
| Node.JS | Data ingestion | Data streaming Node.js Streaming API. | Documentation | |
| Python |  | Language client | A suite of Python packages for connecting Python to ClickHouse. | Documentation |
| Superset | Visualization client | Explore and visualize your ClickHouse data with Preset or Apache Superset. | Documentation |
Partner integrations are built or maintained, and supported by, third-party software vendors.
| Name | Logo | Category | Description | Resources |
|---|---|---|---|---|
| Arctype |  | SQL client | Arctype is a fast and easy-to-use database client for writing queries, building dashboards, and sharing data. | Documentation |
| DataGrip | SQL client | DataGrip is a powerful database IDE with dedicated support for ClickHouse. | Documentation | |
| Deepnote | Data visualization | Deepnote is a collaborative Jupyter-compatible data notebook built for teams to discover and share insights. | Documentation | |
| Grafana | Data visualization | With Grafana you can create, explore and share all of your data through dashboards. | Documentation |
Community integrations are built or maintained and supported by community members. No direct support is available besides the public github repositories and community Slack channels.
| Name | Logo | Category | Description | Resources |
|---|---|---|---|---|
| Airbyte |  | Data ingestion | Use Airbyte, to create ELT data pipelines with more than 140 connectors to load and sync your data into ClickHouse. | Documentation |
| Apache Spark | Data ingestion | Spark ClickHouse Connector is a high performance connector built on top of Spark DataSource V2. | GitHub repo, Documentation |