Google BigQuery
Parse.ly
Integrate your Google BigQuery Data Warehouse with Parse.ly
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 Parse.ly and all of your other cloud tools.
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Easily integrate Google BigQuery with Parse.ly using RudderStackRudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Parse.ly. 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 webhookSend event data to Parse.ly by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Parse.ly API. Once enabled, RudderStack will forward events to Parse.ly (note, this requires leveraging cloud API endpoints for Parse.ly ).
  
Popular ways to use Parse.ly and RudderStack
Enable real-time dataAutomatically send real-time data to marketing analytics, product analytics and business analytics tools.
Cross-platform trackingTrack the entire user journey across platforms without the technical headache.
Hot-swap analytics toolsSend existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
With Rudderstack, integration between Google BigQuery and Parse.ly is simple. Set up a Google BigQuery source and start sending data.
Pricing Google BigQuery and Parse.ly can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery and Parse.ly.
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RudderStack Google BigQuery DocumentationRefer to our step-by-step guide and start using Google BigQuery today
About Parse.ly

Parse.ly provides web analytics and content optimization software for online publishers. It helps visualize the performance of your content across all platforms and channels to deduce how to best engage with your readers. Content creators, marketers, and developers can leverage tools offered by parse.ly to analyze content performance and deliver tailored content experiences to drive meaningful results.

About Google BigQuery

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.