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Easy Amazon S3 to Pendo integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your Amazon S3 Data Warehouse to track event data and automatically send it to Pendo. With the RudderStack Reverse ETL connection, 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 Pendo
Enable real-time data
Automatically send real-time data to marketing analytics, product analytics and business analytics tools.
Track the entire user journey across platforms without the technical headache.
Hot-swap analytics tools
Send existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
How do you integrate your Amazon S3 data storage with Pendo?
With Rudderstack, integration between Amazon S3 source and Pendo is simple. Set up a Amazon S3 source source and start sending data.
Is it expensive to integrate Amazon S3 source with Pendo?
How long does it take to integrate Amazon S3 source with Pendo?
Timing can vary based on your tech stack and the complexity of your data needs for Amazon S3 source and Pendo.
RudderStack Pendo Documentation
Refer to our step-by-step guide and start using Pendo today
RudderStack Amazon S3 Documentation
Refer to our step-by-step guide and start using Amazon S3 today
Pendo is a product analytics platform built for software development companies to understand their customers better. It enables companies to provide customers with personalized and guided product journeys. Pendo helps product teams easily understand product usage, onboard new users, collect feedback, and release new in-app features without requiring any engineering resources.
About Amazon S3
Amazon S3 (Simple Storage Service) is a cloud-based object storage service that allows customers and businesses to store their data securely, and at scale. With an easy to use interface and management features, S3 allows for effortless organizing of data to meet the business-specific requirements.