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Integrate MariaDB with Amazon Kinesis
Don't go through the pain of direct integration. RudderStack’s MariaDB integration makes it easy to send data from MariaDB to Amazon Kinesis and all of your other cloud tools.
Easy MariaDB to Amazon Kinesis 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 Amazon Kinesis. 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.
Available via webhook
Add MariaDB as a source in RudderStack by enabling a webhook source in your RudderStack dashboard, then using our Transformations feature to re-shape the incoming payload. Once configured, RudderStack will send data from your MariaDB source to any destinations you connect. (Note, you will need to configure outbound webhooks in MariaDB.)
Popular ways to use Amazon Kinesis 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
About Amazon Kinesis
Amazon Kinesis enables you to ingest, buffer and process streaming data in real-time. It can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latencies along with the flexibility to choose the tools that best suit the requirements of your application. Kinesis supports various data formats such as audio, video, application logs, clickstream data, and IoT data. It provides unique streaming services to ingest and leverage this data to perform machine learning as well as advanced analytics.
