Integrate Apache Kafka Source with Tableau
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 Tableau and all of your other cloud tools.
Easy Apache Kafka Source to Tableau 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 Tableau. 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 Tableau by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Tableau API. Once enabled, RudderStack will forward events to Tableau (note, this requires leveraging cloud API endpoints for Tableau ).
Popular ways to use Tableau and RudderStack
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Modify payloads to match requirements in [integration, destination=TRUE].
Automatically send user behavior data directly to Tableau.
Frequently Asked Questions
Tableau is a popular data visualization tool that empowers you to explore, manage, and understand your data without the need for any code. Its easy-to-use drag-and-drop interface helps you create simple yet powerful dashboards that give in-depth analysis and insights about your customers.
Tableau can be easily used by organizations of different sizes and people with different expertise (analyst, data scientist, student, teacher, executive, or business user) to build data-driven insights.
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.