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Jekyll
Amazon S3

Integrate Jekyll with Amazon S3

Don't go through the pain of direct integration. RudderStack’s Jekyll integration makes it easy to send data from Jekyll to Amazon S3 and all of your other cloud tools.

Easy Jekyll to Amazon S3 integration with RudderStack

RudderStack’s open source Jekyll integration allows you to integrate RudderStack with your Jekyll to track event data and automatically send it to Amazon S3. With the RudderStack Jekyll 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 S3 and RudderStack
Load event data

Easily send event stream and batch data to Amazon S3 from multiple sources.

Automatic schema creation

Skip the formatting work in Amazon S3 and move faster with predefined data structures.

Customize sync scheduling

Easily configure custom sync schedules to Amazon S3 that work with your existing data workflows.

Frequently Asked Questions

With Rudderstack, integration between Jekyll and Amazon S3 is simple. Set up a Jekyll source and start sending data.

Pricing Jekyll and Amazon S3 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 Jekyll and Amazon S3.

Yes, RudderStack streamlines the integration and management of your connection between Jekyll & Amazon S3, but you check out our guide on How to Event Stream Data from Your Jekyll Site to Google Analytics Using RudderStack to learn how to connect the tools manually.

Use the Amazon S3 integration with other popular sources
Use the Jekyll integration with other popular destinations
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.