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Integrate Apache Kafka Source with Google Cloud Storage
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to Google Cloud Storage and all of your other cloud tools.
Easy Apache Kafka Source to Google Cloud Storage integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to Google Cloud Storage. With the RudderStack Apache Kafka Source 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 Google Cloud Storage and RudderStack
Stream behavioral data
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Customize data payloads
Modify payloads to match requirements in [integration, destination=TRUE].
Connect your pipelines
Automatically send user behavior data directly to Google Cloud Storage.
Frequently Asked Questions
About Google Cloud Storage
Google Cloud Storage is a cloud object storage service, designed to handle large workloads with no performance overhead. Through a single API, you can access petabytes of data from a given storage class. You can also integrate your data-driven applications seamlessly with your data storage. GCP Storage configures your storage data with a unique Object Lifecycle Management feature, that allows you to automatically transition your data to low-cost storage classes, when it gets past a certain stage, or when you have stored a newer version of that data. You also get to define the access control policies to determine who gets access to your buckets and data objects.
When it comes to storing your business-critical information securely, Google Cloud Storage stands apart from the rest.
About Apache Kafka Source
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.