Glue DataBrew is a visual data-preparation tool. Analysts clean and normalize data through a point-and-click interface — no code — choosing from hundreds of built-in transformations.
DataBrew vs Glue ETL
Glue ETL jobs are code-based (Spark/Python) for engineers. DataBrew is visual and no-code, aimed at analysts who need to profile and clean data without writing Spark. The tell is “visually/no-code prepare and clean data.”
Test yourself
A data analyst with no coding skills needs to visually clean and normalize a dataset before analysis. Which service?
- A Glue ETL Spark job
- AWS Glue DataBrew
- Amazon EMR
- Amazon Athena
👉 Click to reveal the answer & explanation
Correct answer: B. DataBrew is a visual, no-code data-prep tool ideal for analysts. A Glue ETL Spark job (A) and EMR (C) require coding; Athena (D) queries data, it doesn’t provide a visual cleaning interface.
Related topics
AWS Glue · Glue crawlers vs jobs · Amazon Athena
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