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Android SDKConfluent Cloud

Integrate your Android app with Confluent Cloud

Don’t go through the pain of direct integration. RudderStack’s Android SDK makes it easy to send data from your Android app to Confluent Cloud and all of your other cloud tools.

Easy Android SDK to Confluent Cloud Integration with RudderStack

RudderStack’s open source Android SDK allows you to integrate RudderStack with your Android app to track event data and automatically send it to Confluent Cloud. With the RudderStack Android 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 Confluent Cloud

Send data anywhere

Automatically send data to any destination that supports webhooks

Customize event payloads

Easily modify payloads to meet the requirements of multiple webhook destinations

Ingest from any webhook

Automatically ingest data from any source that supports webhooks

Frequently Asked Questions

With Rudderstack, integration between Android SDK and Confluent cloud is simple. Set up a Android SDK source and start sending data.

Pricing Android SDK and Confluent cloud can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.

Timing can vary based on your tech stack and the complexity of your data needs for Android SDK and Confluent cloud.

Use the Confluent Cloud integration with other popular sources

RudderStack Confluent Cloud Documentation

Refer to our step-by-step guide and start using Confluent Cloud today

Use the Android SDK integration with other popular destinations

RudderStack Android SDK Documentation

Refer to our step-by-step guide and start using Android SDK today

About Confluent Cloud

Confluent Cloud is a cloud-native, fully-managed event streaming platform. Powered by Apache Kafka, it is simple, secure, and simplifies data ingestion and processing on all the major clouds. With Confluent Cloud, you can easily handle large-scale data workloads without compromising on performance.

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