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Integrate Jekyll with Apache Kafka
Don't go through the pain of direct integration. RudderStack’s Jekyll integration makes it easy to send data from Jekyll to Apache Kafka and all of your other cloud tools.
Easy Jekyll to Apache Kafka integration with RudderStack
RudderStack’s open source Jekyll integration allows you to integrate RudderStack with your Jekyll to track event data and automatically send it to Apache Kafka . With the RudderStack Jekyll integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use Apache Kafka and RudderStack
Stream behavioral data
Easily stream data from your website or app to Apache Kafka in real-time.
Customize data payloads
Modify payloads to match requirements in Apache Kafka.
Connect your pipelines
Automatically send user behavior data directly to Apache Kafka.
Frequently Asked Questions
How do you integrate your Jekyll site with Apache Kafka?
With Rudderstack, integration between Jekyll and Apache Kafka is simple. Set up a Jekyll source and start sending data.
Is it expensive to integrate Jekyll with Apache Kafka?
Pricing Jekyll and Apache Kafka can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Jekyll with Apache Kafka?
Timing can vary based on your tech stack and the complexity of your data needs for Jekyll and Apache Kafka.
Is it possible to send integrate Jekyll with Apache Kafka without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Jekyll & Apache Kafka , but you check out our guide on How to Event Stream Data from Your Jekyll Site to Google Analytics Using RudderStack to learn how to connect the tools manually.
About Apache Kafka
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.