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MongoDB
Amazon Kinesis

Integrate MongoDB with Amazon Kinesis

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

Easy MongoDB to Amazon Kinesis integration with RudderStack

RudderStack’s open source MongoDB integration allows you to integrate RudderStack with your MongoDB to track event data and automatically send it to Amazon Kinesis. With the RudderStack MongoDB 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 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

With Rudderstack, integration between MongoDB and Amazon Kinesis is simple. Set up a MongoDB source and start sending data.
Pricing MongoDB and Amazon Kinesis 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 MongoDB and Amazon Kinesis.

Use the Amazon Kinesis integration with other popular sources

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.