Amazon SageMaker Data Wrangler vs AWS Glue DataBrew

Amazon SageMaker Data Wrangler9.1Visit AWS Glue DataBrew9.0Visit

Higher score Amazon SageMaker Data Wrangler #2 in Data Preparation Software 9.1/10 Paid ✓ 3 of 3 features Visit Data Wrangler

vs

AWS Glue DataBrew #3 in Data Preparation Software 9.0/10 Paid ✓ 3 of 3 features Visit AWS Glue

• Amazon SageMaker Data Wrangler fits best

  AWS-based machine-learning preparation

• AWS Glue DataBrew fits best

  Low-cost AWS data preparation

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Side by side

Feature	Amazon SageMaker Data Wrangler 9.1/10 Visit ↗	AWS Glue DataBrew 9.0/10 Visit ↗
At a glance
Editor score	9.1	9.0
Ranking	#2 in Data Preparation Software	#3 in Data Preparation Software
Best for	AWS-based machine-learning preparation	Low-cost AWS data preparation
Pricing model	Paid	Paid
Starting price	—	$0.48/unit usage-based
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs	Docs
Integrations	10 integrations	7 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon SageMaker Data Wrangler 3/3 · AWS Glue DataBrew 3/3
Data profiling	✓	✓
Visual workflows	✓	✓
Scheduled runs	✓	✓
Specs
Deployment	Cloud	Cloud
Source connectors	Not checked yet	Not checked yet
Row limit	Not checked yet	Not checked yet
Our review
Pros	More than 300 built-in transformations and custom code support Quality reports cover missing values, outliers, imbalance, and leakage Exports to SageMaker Pipelines, Feature Store, notebooks, and scripts	More than 250 built-in transformations Reusable, versioned recipes with visual data lineage Scheduled profile and recipe jobs at usage-based prices
Cons	Usage-based pricing makes costs dependent on compute and processing Cloud-only deployment limits offline and self-hosted workflows Its broadest ecosystem fit is within AWS and connected services	Integrations are primarily focused on AWS services No unlimited free plan Interactive sessions are billed per 30 minutes
Our verdict	Amazon SageMaker Data Wrangler is a cloud data-preparation capability for machine-learning teams working with tabular, time-series, text, and image data. Its visual and natural-language interfaces support importing, profiling, cleaning,… Read the review →	AWS Glue DataBrew is a visual, serverless data-preparation service for data analysts and data scientists. Its point-and-click interface supports profiling, cleaning, normalizing, and transforming datasets without writing code. Users can… Read the review →

Strengths and trade-offs

• Amazon SageMaker Data Wrangler — where it wins

  • More than 300 built-in transformations and custom code support
  • Quality reports cover missing values, outliers, imbalance, and leakage
  • Exports to SageMaker Pipelines, Feature Store, notebooks, and scripts

  Where it doesn't

  • Usage-based pricing makes costs dependent on compute and processing
  • Cloud-only deployment limits offline and self-hosted workflows
  • Its broadest ecosystem fit is within AWS and connected services

• AWS Glue DataBrew — where it wins

  • More than 250 built-in transformations
  • Reusable, versioned recipes with visual data lineage
  • Scheduled profile and recipe jobs at usage-based prices

  Where it doesn't

  • Integrations are primarily focused on AWS services
  • No unlimited free plan
  • Interactive sessions are billed per 30 minutes

• Amazon SageMaker Data Wrangler9.1/10 · Paid

  A capable AWS-centered workspace for preparing and analyzing machine-learning data.

  Visit Data WranglerFull verdict →
• AWS Glue DataBrew9.0/10 · Paid

  A capable AWS-native choice for visual preparation, profiling, and scheduled data jobs.

  Visit AWS GlueFull verdict →