MariaDB
Azure Data Lake
Integrate MariaDB with Azure Data Lake
Don't go through the pain of direct integration. RudderStack’s MariaDB integration makes it easy to send data from MariaDB to Azure Data Lake and all of your other cloud tools.
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Easily integrate MariaDB with Azure Data Lake using RudderStackRudderStack’s open source MariaDB integration allows you to integrate RudderStack with your MariaDB to track event data and automatically send it to Azure Data Lake. With the RudderStack MariaDB 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 MariaDB 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 MariaDB source to any destinations you connect. (Note, you will need to configure outbound webhooks in MariaDB.)
Popular ways to use Azure Data Lake and RudderStack
Query product analytics dataImport analytics-ready product engagement data into your warehouse. Select the data points you need and sync with the click of a button.
Understand feature adoptionCombine your product analytics data with other data points to fully understand features and their impact on lifetime value.
See the full customer journeyCombine your product analytics data with other digital touchpoints to build a full picture of the customer journey.
Frequently Asked Questions
With Rudderstack, integration between MariaDB and Azure Data Lake is simple. Set up a MariaDB source and start sending data.
Pricing MariaDB and Azure Data Lake 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 MariaDB and Azure Data Lake.
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.