Feeling stuck with Segment? Say 👋 to RudderStack.
Integrate your Amazon Redshift Data Warehouse with Bugsnag
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 Bugsnag and all of your other cloud tools.
Easy Amazon Redshift to Bugsnag 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 Bugsnag. 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 Bugsnag and RudderStack
Simplify implementation
Add Bugsnag to your app without any custom code.
Track users
Automatically send user and account data and user actions to Bugsnag.
Integrate multiple sources
Easily send data from multiple sources to Bugsnag to give your product and engineering team better context.
Frequently Asked Questions
About Bugsnag
Bugsnag is an app monitoring and stability tool that helps teams build better software. It can help you debug issues that impact user experience. Installing and managing Bugsnag directly, in addition to all of your other instrumentation, can create extra work (i.e., import bugsnag, nuxt-bugsnag, bugsnagvue, bugsnagclient, bugsnag.start, webpack modules, npm, node_env, setuser, bugsnag.notify, etc.).
With RudderStack, you simply need your_api_key from Bugsnag to start sending events with rich metadata directly from your app to Bugsnag, where you can see rich information (including things like appversion or even HTML from the DOM) in your Bugsnag dashboard.
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.