Integrate SFTP with Amazon Kinesis
Don't go through the pain of direct integration. RudderStack’s SFTP integration makes it easy to send data from SFTP to Amazon Kinesis and all of your other cloud tools.Easily integrate SFTP with Amazon Kinesis using RudderStackRudderStack’s open source SFTP integration allows you to integrate RudderStack with your SFTP to track event data and automatically send it to Amazon Kinesis. With the RudderStack SFTP 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 RudderStackFrequently Asked Questions
Query product analytics dataImport analytics-ready product engagement data into your warehouse. Select the data points you need and sync with the click of a button.
Understand feature adoptionCombine your product analytics data with other data points to fully understand features and their impact on lifetime value.
See the full customer journeyCombine your product analytics data with other digital touchpoints to build a full picture of the customer journey.
How do you integrate SFTP with Amazon Kinesis?
With Rudderstack, integration between SFTP and Amazon Kinesis is simple. Set up a SFTP source and start sending data.
Is it expensive to integrate SFTP with Amazon Kinesis?
Pricing SFTP 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.
How long does it take to integrate SFTP with Amazon Kinesis?
Timing can vary based on your tech stack and the complexity of your data needs for SFTP and Amazon Kinesis.
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.
