September 22, 2023

Taylor Daily Press

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Salesforce welcomes Databricks to the Data Cloud

Salesforce welcomes Databricks to the Data Cloud

Salesforce and Databricks announce cross-integration to simplify data transfer between their data platforms.

Salesforce kicked off the Dreamforce conference with deeper integration with Databricks. It will now be easier to exchange data between Salesforce Data Cloud and Databricks data warehouse. This integration goes in two directions, and this is not an unimportant detail.


The ad naturally includes some trendy terminology. The integration follows the “zero ETL” or “bring your own lake” principle. This means that there are no tools involved to extract your data from one source and move it to another. To this end, Salesforce is launching two new functions in Data Cloud: Data exchange And Data Federation.

Thanks to the first, you will have direct access to your Salesforce data from the connected platform, Databricks. Data federation provides the opposite solution and will be introduced at a later date.

Best of both worlds

The connection between Salesforce Data Cloud and Databricks is interesting for both platforms. The goal of Salesforce Data Cloud is to get a 360-degree view of your customers. The more unique data you can feed the platform, the more comprehensive and accurate that picture becomes.

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In addition to data warehousing, Databricks’ data warehouse platform can also lay the foundation for developing AI and machine learning models. Based on Salesforce data, companies can develop models that are trained on the company’s unique data so that they can be used in very specific use cases.

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Databricks will not be the only partner to receive an invitation to the Dreamforce event. A few days ago, Salesforce also announced the integration With a snowflake To exchange data. Such cooperation is not an unnecessary luxury, because today there is a wide range of data platforms that cannot always communicate with each other. This is how silos are created and Salesforce is happy to break them down.