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Integrate your Google BigQuery Data Warehouse with Split
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Split and all of your other cloud tools.
Easy Google BigQuery Source to Split Integration with RudderStack
RudderStack’s open source Google BigQuery Source allows you to integrate RudderStack with your Google BigQuery data warehouse to automatically send datasets to Split. You can use existing data, multiple data types, and create new tables with standard SQL.
With the RudderStack Google BigQuery Source, 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 or parameter. (You can learn more about BigQuery at cloud.google.com).
Popular ways to use Split and RudderStack
Simplify implementation
Skip the custom integration and send existing data feeds to Split as JSON payloads with standard schemas.
Easily send user data
Automatically send user data to Split without custom code, making deploying and troubleshooting easy.
Easily send experiment data
Automatically send experiment and variation details to Split without custom code or syntax.
Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Split?
With RudderStack, integration between Google BigQuery source and Split is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Split?
Pricing Google BigQuery source and Split can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Google BigQuery source with Split?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Split.
Is it possible to send integrate Google BigQuery with Split without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Split, but you check out our guide on How to Access and Query Your Google BigQuery Data Using Python and R to learn how to connect the tools manually.
About Google BigQuery and Split
Split offers feature flags, experimentation and continuous delivery (see their docs). Getting data from your warehouse to Split can be difficult, often requiring exporting and uploading CSV (comma separated value) files, but even then ensuring timestamps, prefixes and other data points are difficult to clean up. With RudderStack, you can send any kind of data in your warehouse (from basic string values to machine learning results) to Split directly (you can find tutorials in our knowledge base).
Note, this page is about Split, the feature flagging tool. For more information on managing BigQuery (i.e., split functions, select split, regex, partitioning, etc.), visit our learning center.
