Syncing data from Databricks to Salesforce can be achieved through various methods, as there is no native integration between the two platforms. Exporting data from Databricks using Dataframe in Notebook, Databricks CLI, or JSpark can be done, followed by importing the CSV file into Salesforce using third-party tools like Data Loader or the Data Import Wizard. However, these methods have limitations, such as time-consuming manual processes and limited scalability. A more efficient approach is to use Reverse ETL (Extract, Transform, Load) tools like Census, which provides flexible integrations with Salesforce and Databricks, automates data synchronization, and offers scheduling features for seamless updates. By choosing the right method, companies can deliver valuable insights and improve operational efficiency by providing rich first-party data to sales teams, creating high-quality email campaigns, and understanding customer behavior.