Azure Data Factory (ADF) is a managed data management and transformation offering from Microsoft’s Azure Cloud. It offers a variety of ETL connectors to streamline data processing as well as integrations to Databricks (for Spark capabilities) and to other Azure services such as Synapse Analytics.
Both ADF and Kaspian offer native connectors for the most popular datastores, and both provide abstractions that reduce the amount of boilerplate code that developers must write in order to build data pipelines. But because Kaspian can be run in clouds outside of Azure, it is inherently more flexible since pipeline logic can be readily ported to multi/hybrid cloud setups. ADF’s reliance on clunky JSON-based job definitions, Azure Functions for running custom code snippets, and overly-restrictive no-code GUI results in a markedly poorer developer experience. In comparison, Kaspian allows for simple UI/code-driven job configuration, independent Python/SQL code files from your version control system to define jobs, and completely flexible pipeline design.
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