Azure Data Factory Vs Databricks Comparing Top Two Integration Tools 2023 | Inferenz Tech Guide
Azure Data Factory vs. Databricks is the battle between the two widely used data integration tools. Both ADF and Databricks are capable of handling structured and unstructured data. However, they come with their own upsides and downsides.
Azure Data Factory acts as an orchestration tool for data integration services. The primary role of ADF is to carry out ETL workflows and orchestrate data transmission at scale.
On the other hand, Azure Databricks acts as a single collaboration platform. The main aim of the tool is to help data engineers and data scientists to perform ETL and build ML models.
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