AWS Glue DataBrew
AWS Glue DataBrew
AWS Glue DataBrew API is a visual data preparation tool — clean, transform, and enrich data; complete ETL prep without code.
Fully no-code (point-click for 200+ data transformations)
Expensive for TB+ datasets (DPU-based pricing)
Load data (from S3) into a DataBrew project in AWS Console, build recipes by point-click on transform steps, CreateRecipeJob to schedule execution.
Uptime · 30-day window
GitHub activity
About this API
DataBrew is AWS's no-code ETL tool for data analysts/scientists. Traditional ETL requires SQL or Python (pandas), which analysts/business users may not master. DataBrew uses a visual UI: import S3 data → preview data → point-click "join these tables", "remove nulls", "transform date format" → auto-generates transformation recipe → one-click schedule. Covers 200+ built-in transformations. Results output to S3 or Glue Catalog for downstream Athena/Redshift. Complements Glue/Spark — DataBrew suits interactive exploration and prep; Glue suits production-scale ETL.
What you can build
- 1Data analysts perform ETL without code
- 2ML dataset preprocessing
- 3Exploratory data analysis + cleaning
- 4Data prep before BI reporting
Strengths & limitations
Strengths
- Fully no-code (point-click for 200+ data transformations)
- Integrates with S3 / Glue Catalog / Redshift and other AWS data sources
- Can generate Glue/Spark code for production deployment
Limitations
- Expensive for TB+ datasets (DPU-based pricing)
- Designed for interactive prep, not for high-frequency production ETL
Example request
curl https://github.com/mermade/aws2openapi/<endpoint>Getting started
Load data (from S3) into a DataBrew project in AWS Console, build recipes by point-click on transform steps, CreateRecipeJob to schedule execution.
FAQ
DataBrew vs. Glue ETL?+
Interactive data prep + want no-code: DataBrew. Production scheduled ETL: Glue ETL. Data flows between them.
Technical details
- Auth type
- unknown
- Pricing
- unknown
- Protocols
- REST
- SDKs
- python, javascript, go, java
- Response time
- 15 ms
- Last health check
- 5/12/2026, 7:36:33 AM
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