Feeling stuck with Segment? Say 👋 to RudderStack.
Integrate your Amazon Redshift Data Warehouse with Redash
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 Redash and all of your other cloud tools.
Easy Amazon Redshift to Redash 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 Redash. 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.
Available via webhook
Send event data to Redash by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Redash API. Once enabled, RudderStack will forward events to Redash (note, this requires leveraging cloud API endpoints for Redash ).
Popular ways to use Redash 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
About Redash
Redash is an open-source SaaS platform that enables you to query your all your data sources, visualize the results, build dashboards and share data with your team. It is easy to set up and works with any data source (SQL, NoSQL, Big Data, and API data sources), so you can query from anywhere in no time.
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.