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Compare ADF vs. Databricks.

Cloud/Toolseasy0.4 min readPremium

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Asked at 1 company

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Interview Pro Tip

Red Flag: 'We use only one' when both have clear roles. Pro-Move: 'ADF orchestrates; Databricks does transforms—clean separation; ADF never does heavy Spark.'

Key Concepts Tested

Expert AnswerPremium

73 wordsInterview-ready

Why compare: Different roles—orchestration vs. compute. ADF: Low-code; 100+ connectors; scheduling; simple ELT. Databricks: Code-first Spark; heavy processing; ML. Architectural logic: ADF = plumbing—move data, schedule. Databricks = heavy lifting—transforms, ML. Often together: ADF triggers Databricks notebooks. Scalability: ADF is serverless; Databricks scales clusters. Cost: ADF = DIU + copy; Databricks = cluster hours. Use ADF for orchestration; Databricks for processing....

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