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Head-to-head · Data Preparation Software

Alteryx Designer vs Amazon SageMaker Data Wrangler

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side

Alteryx Designer leads on 0 checks, Amazon SageMaker Data Wrangler on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAlteryx Designer · 9.2/10
  • Most featuresAmazon SageMaker Data Wrangler · 3 of 3

Alteryx Designer scores higher on our rubric for data preparation software: 9.2 against 9.1 out of 10; our editors rank them #1 and #2.

On deployment, Alteryx Designer gives you Desktop where Amazon SageMaker Data Wrangler offers Cloud.

Alteryx Designer is the better fit for enterprise visual data preparation. Amazon SageMaker Data Wrangler is the better fit for AWS-based machine-learning preparation.

  • Alteryx Designer fits best

    Enterprise visual data preparation

  • Amazon SageMaker Data Wrangler fits best

    AWS-based machine-learning preparation

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Side by side

Feature Alteryx Designer 9.2/10 Visit ↗ Amazon SageMaker Data Wrangler 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #1 in Data Preparation Software #2 in Data Preparation Software
Best for Enterprise visual data preparation AWS-based machine-learning preparation
Pricing model Paid Paid
Starting price — —
Free plan — —
Free trial — —
Deployment Desktop Cloud
Platforms Windows, macOS Web
Support Docs, Community Docs
Integrations 80+ integrations 10 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Alteryx Designer 2/3 · Amazon SageMaker Data Wrangler 3/3
Data profiling ✓ ✓
Visual workflows ✓ ✓
Scheduled runs Not checked yet ✓ (best)
Specs
Deployment Desktop Cloud
Source connectors Not checked yet Not checked yet
Row limit Not checked yet Not checked yet
Our review
Pros
  • Drag-and-drop workflows with profiling, blending, and 300+ automation tools
  • Connects to 80+ data sources and major cloud, database, and analytics platforms
  • Supports AI assistance, APIs, SDKs, and spatial and prescriptive analytics
  • 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
Cons
  • There is no free plan
  • The entry price is 250
  • Starter Edition is cloud-only, while Designer is a desktop product
  • 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
Our verdict

Alteryx Designer is a desktop application for analysts who need to prepare, blend, analyze, and visualize data through repeatable visual workflows. Its drag-and-drop approach supports code-free analytics, data profiling, spatial and…

Read the review →

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 →
  1. Alteryx DesignerData Preparation Software 9.2Paid
  2. Amazon SageMaker Data WranglerData Preparation Software 9.1Paid

Strengths and trade-offs

  • Alteryx Designer — where it wins

    • Drag-and-drop workflows with profiling, blending, and 300+ automation tools
    • Connects to 80+ data sources and major cloud, database, and analytics platforms
    • Supports AI assistance, APIs, SDKs, and spatial and prescriptive analytics

    Where it doesn't

    • There is no free plan
    • The entry price is 250
    • Starter Edition is cloud-only, while Designer is a desktop product
  • 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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update