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Jekyll
Amazon Redshift

Integrate Jekyll with Amazon Redshift

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

Easy Jekyll to Amazon Redshift 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 Redshift. 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 Redshift and RudderStack

Automatic schema creation

Simplify your workflow with predefined schemas, automatically created for you in your Amazon Redshift warehouse.

Sync data faster

Leverage best in class sync times and load data to Amazon Redshift every 30 minutes (or even faster!).

Customize data loads

Customize data and loads for Amazon Redshift across multiple databases and schemas.

Frequently Asked Questions

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

Pricing Jekyll and Amazon Redshift 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 Redshift.

Yes, RudderStack streamlines the integration and management of your connection between Jekyll & Amazon Redshift, but you check out our guide on Redshift vs Snowflake vs BigQuery: Choosing a Warehouse to learn how to connect the tools manually.

Use the Amazon Redshift integration with other popular sources
Use the Jekyll integration with other popular destinations
About Amazon Redshift

Amazon Redshift is the world's fastest cloud data warehouse. It allows you to handle large analytical workloads with best-in-class performance, speed, and efficiency. With Redshift, you don't have to worry about the scale of your data or the cost of running queries on them.