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Integrate Apache Kafka Source with Tray.io
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 Tray.io and all of your other cloud tools.
Easy Apache Kafka Source to Tray.io 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 Tray.io. 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.
Available via webhook
Send event data to Tray.io by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Tray.io API. Once enabled, RudderStack will forward events to Tray.io (note, this requires leveraging cloud API endpoints for Tray.io ).
Popular ways to use Tray.io 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 Tray.io.
Frequently Asked Questions
About Tray.io
Tray.io is a leading automation and API integration platform for modern enterprises. It allows you to integrate and bring together your tech stack and automate workflows and processes with its visual editor. From setting up simple point-to-point integrations to building complex workflows using a predetermined conditional logic, Tray.io allows you to design a robust data flow across different teams for all your use cases. With Tray.io, you can essentially automate your entire organization without having to strain your development resources.
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.