Integrate your Amazon Redshift Data Warehouse with Mode Analytics
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 Mode Analytics and all of your other cloud tools.
Easy Amazon Redshift to Mode Analytics 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 Mode Analytics. 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 Mode Analytics by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Mode Analytics API. Once enabled, RudderStack will forward events to Mode Analytics (note, this requires leveraging cloud API endpoints for Mode Analytics ).
Popular ways to use Mode Analytics and RudderStack
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.
Send existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
About Mode Analytics
Mode Analytics is a SQL-based collaborative data analytics platform that enables you to analyze, visualize, and share data. Mode Analytics combines SQL, R, Python, and visual analytics, all in a single platform, built specifically for data scientists and data analysts.
With Mode Analytics, you can also carry out interactive visualizations on millions of rows at once.
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.