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Data is in motion, and it’s moving faster than ever. For developers and data architects building modern real-time data platforms, the ability to get data from anywhere and analyze it instantly is a superpower. That’s why we’re excited to announce a major step forward in this journey: the fully managed sink connector for Clickhouse, now generally available on Confluent Cloud.
This new connector makes it easy to bring the power of Confluent Cloud and ClickHouse together to build powerful, real-time analytics applications. In this blog post, you’ll learn how Confluent’s fully managed Apache Kafka® connector for ClickHouse makes it easier for you to implement real-time analytics use cases in the cloud.
Confluent provides the world’s leading data streaming platform, powered by Kora, our cloud-native Kafka engine. It's the central nervous system for your data, providing a reliable, scalable, and secure way to stream data from hundreds of sources to hundreds of destinations. On the other side of the equation, ClickHouse is a lightning-fast, open source columnar database built for real-time analytics. It's the go-to choice for developers who need to run blazingly fast analytical queries on massive datasets.
Our customers often use Confluent Cloud to ingest data from their applications and services, then use ClickHouse as their analytical backend to power everything from operational dashboards to ad hoc queries. The new fully managed sink connector simplifies that architecture, helping you build Kafka-to-ClickHouse integration pipelines even faster and maintain focus on what matters most: your business.
The new fully managed sink connector simplifies the entire process of moving data with Confluent Cloud and implementing real-time analytics with ClickHouse.
Simplicity and speed: This is the "easy button." With just a few clicks in the Confluent Cloud user interface, you can connect your Kafka topics to your ClickHouse database. There’s no infrastructure to manage, no code to write, and no connector configuration to worry about.
Elastic scalability: The connector scales automatically with your data volume so you can handle a few hundred messages per second or a few hundred thousand without breaking a sweat.
Operational ease: Confluent handles all the maintenance, upgrades, and monitoring of the connector for you. This means you can focus on building your applications, not on managing infrastructure.
Security: The connector is built with enterprise-grade security features, including private networking and secure access controls.
The new fully managed connector helps teams reduce operational overhead—freeing up developers' time—and ensure a highly reliable and scalable connection for your most critical data pipelines.
"We’re excited that the sink connector for ClickHouse is now natively available within Confluent Cloud, as many customers have requested. While there are multiple ways to get data from Confluent to ClickHouse, this connector is optimal if you’re looking for configurability through Confluent’s fully managed data streaming platform, along with enhanced features like private networking to avoid sending data over the public internet."
— Luke Gannon, Ecosystem Integrations Product Manager at ClickHouse
Whether you choose the fully managed connector or the native engine, our goal is the same: to empower you to build amazing real-time applications. The launch of the fully managed sink connector for ClickHouse is a testament to our shared commitment to the developer community and to making the integration of our platforms as seamless as possible.
Ready to get started with Confluent? Start your free trial of Confluent Cloud. New signups receive $400 to spend during their first 30 days. Or log in to your Confluent Cloud account, navigate to the Connectors section, and find the ClickHouse Sink Connector to start streaming data in minutes.
Apache®, Apache Kafka®, Kafka®, Apache Flink®, and Flink® are registered trademarks of the Apache Software Foundation. No endorsement by the Apache Software Foundation is implied by the use of these marks.
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