If it has OData feed, you can use generic OData connector. If it provides SOAP APIs, you can use generic HTTP connector. If it has ODBC driver, you can use generic ODBC connector. For others, check if you can load data to or expose data as any ADF supported data stores, e.g. Azure Blob/File/FTP/SFTP/etc, then let ADF pick up from there.How do I get Started with the Snowflake connector for ADF?
Azure Data Factory (ADF) pipeline showing the Snowflake Connector in action. To get started with the Snowflake Connector for ADF, please visit the GitHub repository for the Snowflake ADF connector. The README.md file provides a detailed description of how the connector works as well as detailed deployment steps and legal notices.What is it like to use it with ADF?
It provides SQL-based stored-procedure-like functionality with dynamic parameters and return values. By using it with ADF, you can build a complete end-to-end data warehouse solution in Snowflake while following Microsoft and Azure best practices around portability and security.What is ADF in Azure Data Factory?
Azure Data Factory (ADF) is a fully-managed data integration service for analytic workloads in Azure, that empowers you to copy data from 80 plus data sources with a simple drag-and-drop experience. Also, with its flexible control flow, rich monitoring, and CI/CD capabilities you can operationalize and manage the ETL/ELT flows to meet your SLAs.