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MarketoAzure Data Lake

Integrate Marketo with Azure Data Lake

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

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Easy Marketo to Azure Data Lake 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 Azure Data Lake. 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 Azure Data Lake 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 Azure Data Lake costs engineering time, while ETL providers like RudderStack generally charge by the number of rows loaded.

RudderStack Azure Data Lake Documentation

Refer to our step-by-step guide and start using Azure Data Lake today

About Azure Data Lake

Microsoft Azure Data Lake is a secure and scalable data lake that lets you store data of varying sizes and complexity. It also allows you to write your own code to perform operational or transactional data transformation and analysis tasks.