The right integration method to minimize delivery lag: Kafka and ClickHouse for real-time analytics

Choosing the right integration method to minimize delivery lag.
ClickHouse and Kafka, scalable and open-source, form a powerful duo for building cost-effective, real-time analytics systems, suitable for log analysis, clickstream analytics, financial transactions, and more. The integration method of this combination is an important consideration that affects ingestion performance, resource distribution, and costs.
In this webinar, we explore the integration of Kafka with ClickHouse, covering various methods and best practices to optimize data processing and storage. Our guest speaker, Amit Agrawal from Plotline, shares a real-world use case and the challenges they faced with their legacy architecture, leading to the adoption of Kafka and ClickHouse integration on DoubleCloud. Our technical expert Andrei demonstrates the implementation steps and provides insights into the advantages and limitations of different integration methods.
00:00 Who are we?
02:34 Where is the Kafka and ClickHouse normally used?
03:37 Why is it hard to write on ClickHouse directly?
05:49 The key stages in delivering data from Kafka to ClickHouse
07:39 Kafka and ClickHouse Integration methods
09:04 Kafka engine method
19:27 External writer method
28:15 Use case of Kafka and ClickHouse combination: Plotline
38:40 Why choose a managed Kafka and managed ClickHouse service?
42:14 Conclusions
🔍 DoubleCloud services mentioned in the video:
Managed Service for ClickHouse® 👉 double.cloud/services/managed...
Managed Service for Apache Kafka® 👉 double.cloud/services/managed...
No-code ELT tool: Data Transfer 👉 double.cloud/services/doublec...
Data Visualization with AI-insights 👉 double.cloud/services/doublec...
🔗 Website: double.cloud/?...
📚 Related content:
Kafka and ClickHouse for lightning-fast data processing: double.cloud/blog/posts/2024/...
Unifying real-time data processing: Kafka, Spark, and ClickHouse: double.cloud/blog/posts/2023/...
Real-time analytics databases: Empowering decision-making: double.cloud/blog/posts/2023/...
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