Google Reviews
Materialize
Integrate Google Reviews with Materialize
Don't go through the pain of direct integration. RudderStack’s Google Reviews integration makes it easy to send data from Google Reviews to Materialize and all of your other cloud tools.
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Easy Google Reviews to Materialize integration with RudderStackRudderStack’s open source Google Reviews integration allows you to integrate RudderStack with your Google Reviews to track event data and automatically send it to Materialize. With the RudderStack Google Reviews integration, 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 webhookAdd Google Reviews as a source in RudderStack by enabling a webhook source in your RudderStack dashboard, then using our Transformations feature to re-shape the incoming payload. Once configured, RudderStack will send data from your Google Reviews source to any destinations you connect. (Note, you will need to configure outbound webhooks in Google Reviews.)
Popular ways to use Materialize and RudderStack
Simplify implementationAutomatically load Materialize surveys through the RudderStack SDK.
Easily track user behaviorEasily send existing behavior data to Materialize.
Easily track pageview dataAutomatically send pageview data to Materialize.
Frequently Asked Questions
Depending on the format, there are multiple ways to export data from Google Reviews, whether manually, through a native integration or through a data platform like RudderStack.
There are two primary ways: First, you could write your own code script to pull the data and load it via API. Second, you could use an ETL integration provider like RudderStack to load the data automatically.
Building your own integration between Google Reviews and Materialize costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.
About Materialize

Materialize is a high-speed streaming database enabling rapid data processing at scale. It offers automation, real-time analytics, and responsiveness for user-facing apps. It enhances customer data platforms without sacrificing SQL familiarity or cloud warehouse architecture.