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Google BigQuery

Integrate Marketo with Google BigQuery

Don't go through the pain of direct integration. RudderStack’s Marketo integration makes it easy to send data from Marketo to Google BigQuery and all of your other cloud tools.

Easy Marketo to Google BigQuery integration with RudderStack

RudderStack’s open source Marketo integration allows you to integrate RudderStack with your Marketo to track event data and automatically send it to Google BigQuery. With the RudderStack Marketo 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.

Popular ways to use Google BigQuery and RudderStack

Query marketing data

Import analytics-ready marketing data into your warehouse. Select the data points you need and sync with the click of a button.

Break down marketing data silos

Combine all of your marketing data to build a full understanding of the effectiveness of your campaigns.

Build more effective campaigns

Understand which content is valuable to which segments and build higher-performing marketing campaigns.

Frequently Asked Questions

Depending on the format, there are multiple ways to export data from Marketo, 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 Marketo and Google BigQuery costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.

Use the Google BigQuery integration with other popular sources

About Google BigQuery

Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time and leverage Google’s machine learning features. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data and params from the data source of your choice., without the pain of detailed setup or custom pipeline development. Setting up a pipeline to BigQuery cloud storage requires a significant amount of detailed engineering work, dealing with googleapis, config files, commands like createdataset and create table and more. With RudderStack, you simply need to set up a service account for authentication in Google Cloud Platform, ensure your IAM profile has the correct permissions and then specify the required details (like projectid). From there, RudderStack will take care of sending data directly to GCP (google-cloud/bigquery), including metadata, without you having to manage a cloud client library, set up a new git workflow in your command line or spend engineering cycles trying to optimize loads. In fact, with RudderStack’s streaming integrations you can even send data to Google in real-time. If you have multiple databases, RudderStack also allows you to send data to relational databases like PostgreSQL, SQL server, mySQL and more.