Amazon Kinesis
Integrate your Gatsby site with Amazon Kinesis
Don't go through the pain of direct integration. RudderStack’s Javascript SDK makes it easy to send data from your Gatsby site to Amazon Kinesis and all of your other cloud tools.
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Easy Gatsby to Amazon Kinesis integration with RudderStackRudderStack’s open source Javascript SDK allows you to integrate RudderStack with your your Gatsby site to track event data and automatically send it to Amazon Kinesis. With the RudderStack Javascript SDK, 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
Stream behavioral dataEasily stream data from your website or app to Amazon Kinesis in real-time.
Customize data payloadsModify payloads to match requirements in Amazon Kinesis.
Connect your pipelinesAutomatically send user behavior data directly to Amazon Kinesis.
Frequently Asked Questions

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

Pricing Gatsby 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 Gatsby and Amazon Kinesis.

Yes, RudderStack streamlines the integration and management of your connection between Gatsby & Amazon Kinesis, but you check out our guide on How To Send Data From Snowflake to Amazon Kinesis to learn how to connect the tools manually.

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.