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Apache Kafka Source
Podsights

Integrate Apache Kafka Source with Podsights

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 Podsights and all of your other cloud tools.

Easy Apache Kafka Source to Podsights 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 Podsights. 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 Podsights 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 Podsights.

Frequently Asked Questions

With Rudderstack, integration between Apache Kafka Source and Podsights is simple. Set up a Apache Kafka Source source and start sending data.
Pricing Apache Kafka Source and Podsights 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 Apache Kafka Source and Podsights.

About Podsights

Podsights is a marketing attribution platform for podcast advertising. Their tool helps marketers understand the effects of buying podcast ads.. Podsights' goal is to squeeze as much information out of this data to give marketers more clarity on the campaigns that are driving results for their podcasts.

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.