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Easy Amazon S3 to Apache Kafka integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your Amazon S3 Data Warehouse to track event data and automatically send it to Apache Kafka . With the RudderStack Reverse ETL connection, 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 Amazon S3 data storage with Apache Kafka?
With Rudderstack, integration between Amazon S3 source and Apache Kafka is simple. Set up a Amazon S3 source source and start sending data.
Is it expensive to integrate Amazon S3 source with Apache Kafka?
How long does it take to integrate Amazon S3 source with Apache Kafka?
Timing can vary based on your tech stack and the complexity of your data needs for Amazon S3 source and Apache Kafka.
RudderStack Apache Kafka Documentation
Refer to our step-by-step guide and start using Apache Kafka today
RudderStack Amazon S3 Documentation
Refer to our step-by-step guide and start using Amazon S3 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 Amazon S3
Amazon S3 (Simple Storage Service) is a cloud-based object storage service that allows customers and businesses to store their data securely, and at scale. With an easy to use interface and management features, S3 allows for effortless organizing of data to meet the business-specific requirements.