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Easy Python SDK to Apache Kafka integration with RudderStack
RudderStack’s open source Python SDK allows you to integrate RudderStack with your Python app to track event data and automatically send it to Apache Kafka . With the RudderStack Python SDK, 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
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 Python app with Apache Kafka?
With Rudderstack, integration between Python SDK and Apache Kafka is simple. Set up a Python SDK source and start sending data.
Is it expensive to integrate Python SDK with Apache Kafka?
How long does it take to integrate Python SDK with Apache Kafka?
Timing can vary based on your tech stack and the complexity of your data needs for Python SDK and Apache Kafka.
RudderStack Apache Kafka Documentation
Refer to our step-by-step guide and start using Apache Kafka today
RudderStack Python SDK Documentation
Refer to our step-by-step guide and start using Python SDK today
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.
About Python SDK
RudderStack’s open source Python SDK allows you to track and capture customer event data using your Python code. Once you enable the SDK, your customer events start flowing through the RudderStack servers to a wide range of common, popular marketing, sales, and product tools. Amplitude, Google Analytics, Mixpanel, are a few tools we support as destinations, among many others.