Amazon SageMaker Data Wrangler vs Talend Cloud Data Preparation

Amazon SageMaker Data Wrangler9.1Visit Talend Cloud Data Preparation8.8Visit

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

vs

Talend Cloud Data Preparation #5 in Data Preparation Software 8.8/10 Pricing on request ✓ 3 of 3 features Visit Talend

• Amazon SageMaker Data Wrangler fits best

  AWS-based machine-learning preparation

• Talend Cloud Data Preparation fits best

  Governed enterprise data preparation

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Side by side

Feature	Amazon SageMaker Data Wrangler 9.1/10 Visit ↗	Talend Cloud Data Preparation 8.8/10 Visit ↗
At a glance
Editor score	9.1	8.8
Ranking	#2 in Data Preparation Software	#5 in Data Preparation Software
Best for	AWS-based machine-learning preparation	Governed enterprise data preparation
Pricing model	Paid	Paid
Starting price	—	—
Free plan	—	Not checked yet
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web
Support	Docs	Docs
Integrations	10 integrations	17 integrations
Built for	Mid-market, Enterprise	Mid-market, Enterprise
Features Amazon SageMaker Data Wrangler 3/3 · Talend Cloud 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	Data profiling, cleansing, enrichment, and semantic-type suggestions Reusable recipes, shareable datasets, APIs, and scheduled runs Cloud, client-managed, and hybrid deployment options
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	Contact-sales pricing makes plan comparison less transparent Enterprise connectivity and AI capabilities are limited to the Enterprise plan The broad governance scope may exceed simpler preparation needs
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 →	Talend Cloud Data Preparation is a self-service application for information workers, data analysts, and business teams preparing data for analysis and other data-driven tasks. It covers discovery and profiling, semantic-type suggestions,… 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

• Talend Cloud Data Preparation — where it wins

  • Data profiling, cleansing, enrichment, and semantic-type suggestions
  • Reusable recipes, shareable datasets, APIs, and scheduled runs
  • Cloud, client-managed, and hybrid deployment options

  Where it doesn't

  • Contact-sales pricing makes plan comparison less transparent
  • Enterprise connectivity and AI capabilities are limited to the Enterprise plan
  • The broad governance scope may exceed simpler preparation needs

• Amazon SageMaker Data Wrangler9.1/10 · Paid

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

  Visit Data WranglerFull verdict →
• Talend Cloud Data Preparation8.8/10 · Pricing on request

  Governed data preparation with profiling, reusable recipes, automation, and hybrid deployment.

  Visit TalendFull verdict →