Connect ClickHouse to your AI assistants.

Python driver/sqlalchemy/superset connectors

Flink SQL connector for ClickHouse. Support ClickHouseCatalog and read/write primary data, maps, arrays to clickhouse.

Replicate data from MySQL, Postgres and MongoDB to ClickHouse®

Spark ClickHouse Connector build on DataSourceV2 API

ClickHouse Kafka Connector

Golang ClickHouse connector

flink sql connector clickhouse zeppelin

Spark Clickhouse Connector

spark to yandex clickhouse connector

Tableau connector to ClickHouse using JDBC driver

This connector allows you to retrieve data from ClickHouse directly into Power BI for analysis and visualization

kafka connector 插件，支持输入 mysql binlog 和 json 格式写入ClickHouse。持续更新

flink-connector-clickhouse-1.13

Golang Yandex ClickHouse connector

kettle connect clickhouse plug

Tableau connector to ClickHouse using ODBC or JDBC driver

Ingress data from kafka topic into clickhouse table (JSON format)

Official Apache Flink connector for ClickHouse

UDF to seamlessly connect ClickHouse to Vertica using external tables

ClickHouse connector both for PrestoSQL and Trino

Apache Spark structured streaming connector for Yandex ClickHouse OLAP

这是一个扩展的flink-connector-jdbc，相比于官方，该版本新增了对clickhouse、phoenix的支持，后面将会继续改造以支持更多的jdbc连接

Dremio ARP driven connector that supports ClickHouse Columnar Database

ClickHouse + ClickHouse-Keeper Example with optional Grafana and Redpanda Connect

Common Lisp ClickHouse Client Library

Provider allow connect Apache Airflow to Yandex Clickhouse Database and perform query using ClickhouseOperator

Power BI connector for ClickHouse

This project sets up a real-time data pipeline utilizing Change Data Capture (CDC) to stream changes from a PostgreSQL database to a ClickHouse database through Apache Kafka. Using Debezium to capture and stream database changes, and Kafka Connect to sink the data into ClickHouse, this pipeline allows for efficient data synchronization.

Easy-to-run demo of a CDC pipeline using Debezium (Kafka Connect), PostgreSQL, Redpanda, and ClickHouse.