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Integrate Apache Kafka Source with Mode Analytics
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 Mode Analytics and all of your other cloud tools.
Easy Apache Kafka Source to Mode Analytics 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 Mode Analytics. 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 Mode Analytics by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Mode Analytics API. Once enabled, RudderStack will forward events to Mode Analytics (note, this requires leveraging cloud API endpoints for Mode Analytics ).
Popular ways to use Mode Analytics 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 Mode Analytics.
Frequently Asked Questions
About Mode Analytics
Mode Analytics is a SQL-based collaborative data analytics platform that enables you to analyze, visualize, and share data. Mode Analytics combines SQL, R, Python, and visual analytics, all in a single platform, built specifically for data scientists and data analysts.
With Mode Analytics, you can also carry out interactive visualizations on millions of rows at once.
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.