Integrations
ClickHouse integrations are organized by their support level:
- Core integrations: built or maintained by ClickHouse, they are supported by ClickHouse and live in the ClickHouse GitHub organization
- Partner integrations: built or maintained, and supported by, third-party software vendors
- Community integrations: built or maintained and supported by community members. No direct support is available besides the public GitHub repositories and community Slack channels
Each integration is further categorized into Language client, Data ingestion, Data visualization and SQL client categories.
note
We are actively compiling this list of ClickHouse integrations below, so it's not exhaustive. Feel free to contribute any relevant ClickHouse integration to the list.
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. | Documentation | |
ClickHouse Client | SQL client | ClickHouse Client is the native command-line client for ClickHouse. | 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 | |
Node.JS | Language client | The official Node.js client for connecting to ClickHouse. | Documentation | |
Python | Language client | A suite of Python packages for connecting Python to ClickHouse. | Documentation | |
Superset | Data visualization | Explore and visualize your ClickHouse data with Apache Superset. | Documentation | |
Metabase | Data visualization | Metabase is an easy-to-use, open source UI tool for asking questions about your data. | Documentation |
Partner integrations
Name | Logo | Category | Description | Resources |
---|---|---|---|---|
DataGrip | SQL client | DataGrip is a powerful database IDE with dedicated support for ClickHouse. | Documentation | |
DBeaver | SQL client | Free multi-platform database administration tool. Connects to Clickhouse through JDBC driver. | 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 | |
HEX | Data visualization | Hex is a modern, collaborative platform with notebooks, data apps, SQL, Python, no-code, R, and so much more. | Documentation | |
Vector | Data ingestion | A lightweight, ultra-fast tool for building observability pipelines with built-in compatibility with ClickHouse. | Documentation | |
EMQX | Data ingestion | EMQX is an open source MQTT broker with a high-performance real-time message processing engine, powering event streaming for IoT devices at massive scale. | Documentation | |
TABLUM.IO | SQL client | TABLUM.IO ingests data from a variety of sources, normalizes and cleans inconsistencies, and gives you access to it via SQL. | Documentation |
Community integrations
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 | |
C# | Language client | ClickHouse.Client is a feature-rich ADO.NET client implementation for ClickHouse | Documentation | |
Kafka | Data ingestion | Integration with Apache Kafka, the open-source distributed event streaming platform. | Documentation | |
Rocket.BI | Data visualization | RocketBI is a self-service business intelligence platform that helps you quickly analyze data, build drag-n-drop visualizations and collaborate with colleagues right on your web browser. | GitHub repo |