Amazon SageMaker Data Wrangler vs SAS Data Preparation

Amazon SageMaker Data Wrangler9.1Visit SAS Data Preparation8.7Visit

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

vs

SAS Data Preparation #6 in Data Preparation Software 8.7/10 Pricing on request · 14-day trial Free trial✓ 3 of 3 features Visit SAS

• Amazon SageMaker Data Wrangler fits best

  AWS-based machine-learning preparation

• SAS Data Preparation fits best

  Governed enterprise data preparation

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Side by side

Feature	Amazon SageMaker Data Wrangler 9.1/10 Visit ↗	SAS Data Preparation 8.7/10 Visit ↗
At a glance
Editor score	9.1	8.7
Ranking	#2 in Data Preparation Software	#6 in Data Preparation Software
Best for	AWS-based machine-learning preparation	Governed enterprise data preparation
Pricing model	Paid	Paid
Starting price	—	Pricing on request · 14-day trial
Free plan	—	—
Free trial	—	14 days
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Email, Phone, Community, Docs
Integrations	10 integrations	11 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Amazon SageMaker Data Wrangler 3/3 · SAS Data Preparation 3/3
Data profiling	✓	✓
Visual workflows	✓	✓
Scheduled runs	✓	✓
Specs
Deployment	Cloud	Hybrid
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	Profiles, blends, cleanses and transforms data visually Supports lineage, governance and scheduled repeatable workflows Connects with Snowflake, BigQuery, Databricks and other enterprise sources
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	Quote-based pricing makes value comparison less transparent The offering is focused on enterprise data-management needs Web platform coverage may not suit teams seeking broader interfaces
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 →	SAS Data Preparation is an enterprise data-preparation capability within the SAS Viya ecosystem. It is designed for business analysts, data analysts, data scientists and other data users who need to ingest data, manage connections, profile… 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

• SAS Data Preparation — where it wins

  • Profiles, blends, cleanses and transforms data visually
  • Supports lineage, governance and scheduled repeatable workflows
  • Connects with Snowflake, BigQuery, Databricks and other enterprise sources

  Where it doesn't

  • Quote-based pricing makes value comparison less transparent
  • The offering is focused on enterprise data-management needs
  • Web platform coverage may not suit teams seeking broader interfaces

• Amazon SageMaker Data Wrangler9.1/10 · Paid

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

  Visit Data WranglerFull verdict →
• SAS Data Preparation8.7/10 · Pricing on request · 14-day trial

  A broad SAS Viya data-preparation offering for governed enterprise workflows.

  Visit SASFull verdict →