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Amazon Redshift
Shynet

Integrate your Amazon Redshift Data Warehouse with Shynet

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

Easy Amazon Redshift to Shynet integration with RudderStack

RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Amazon Redshift Data Warehouse to track event data and automatically send it to Shynet. 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 Shynet and RudderStack

Enable real-time data

Automatically send real-time data to marketing analytics, product analytics and business analytics tools.

Cross-platform tracking

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

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

Use the Amazon Redshift integration with other popular destinations

About Shynet

Shynet is an open source self-hosted web analytics platform. Shynet works without cookies or JS, so you don't need any intrusive cookie notices. It collects just enough data to be useful but not enough to be creepy.

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.