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MariaDB
Apache Kafka

Integrate MariaDB with Apache Kafka

Don't go through the pain of direct integration. RudderStack’s MariaDB integration makes it easy to send data from MariaDB to Apache Kafka and all of your other cloud tools.

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Easy MariaDB to Apache Kafka integration with RudderStack

RudderStack’s open source MariaDB integration allows you to integrate RudderStack with your MariaDB to track event data and automatically send it to Apache Kafka . With the RudderStack MariaDB 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 Apache Kafka and RudderStack
Query product analytics data

Import analytics-ready product engagement data into your warehouse. Select the data points you need and sync with the click of a button.

Understand feature adoption

Combine your product analytics data with other data points to fully understand features and their impact on lifetime value.

See the full customer journey

Combine your product analytics data with other digital touchpoints to build a full picture of the customer journey.

Frequently Asked Questions
With Rudderstack, integration between MariaDB and Apache Kafka is simple. Set up a MariaDB source and start sending data.
Pricing MariaDB and Apache Kafka 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 MariaDB and Apache Kafka .
Use the Apache Kafka integration with other popular sources

Nuxt.js

E-Commerce Platforms

.NET SDK

RudderStack SDKs

RudderStack Apache Kafka Documentation

Refer to our step-by-step guide and start using Apache Kafka today

About Apache Kafka

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.