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Head-to-head · Data Preparation for Analytics

Amazon SageMaker Data Wrangler vs Qlik Talend Cloud

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon SageMaker Data Wrangler #3 in Data Preparation for Analytics 9.0/10 Paid ✓ 1 of 3 features Visit AWS
Qlik Talend Cloud #5 in Data Preparation for Analytics 8.8/10 Pricing on request ✓ 0 of 3 features Visit Qlik

Amazon SageMaker Data Wrangler leads on 0 checks, Qlik Talend Cloud on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon SageMaker Data Wrangler · 9.0/10
  • Most featuresAmazon SageMaker Data Wrangler · 1 of 3

Amazon SageMaker Data Wrangler scores higher on our rubric for data preparation for analytics: 9.0 against 8.8 out of 10; our editors rank them #3 and #5.

On deployment, Qlik Talend Cloud gives you Hybrid where Amazon SageMaker Data Wrangler offers Cloud.

Amazon SageMaker Data Wrangler is the better fit for AWS analytics teams building SageMaker workflows. Qlik Talend Cloud is the better fit for enterprises combining data preparation and movement.

  • Amazon SageMaker Data Wrangler fits best

    AWS analytics teams building SageMaker workflows

  • Qlik Talend Cloud fits best

    Enterprises combining data preparation and movement

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Amazon SageMaker Data Wrangler 9.0/10 Visit ↗ Qlik Talend Cloud 8.8/10 Visit ↗
At a glance
Editor score 9.0 8.8
Ranking #3 in Data Preparation for Analytics #5 in Data Preparation for Analytics
Best for AWS analytics teams building SageMaker workflows Enterprises combining data preparation and movement
Pricing model Paid Paid
Starting price — —
Free plan — —
Free trial — —
Deployment Cloud Cloud, Self-hosted
Platforms Web Web
Support Docs Community, Docs
Integrations 10 integrations 18 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon SageMaker Data Wrangler 1/3 · Qlik Talend Cloud 0/3
Data quality checks Not checked yet Not checked yet
Scheduled runs ✓ (best) Not checked yet
Version control Not checked yet Not checked yet
Specs
Deployment Cloud Hybrid
Workflow interface Not checked yet Not checked yet
Source connectors Not checked yet Not checked yet
Our review
Pros
  • Visual flows pair 300+ transformations with data-quality and insights reports.
  • Custom transformations support Python, PySpark, SQL, and Pandas.
  • Exports connect flows to SageMaker Pipelines, Feature Store, notebooks, and scripts.
  • Combines visual ETL/ELT flows with custom SQL transformations.
  • Supports batch, real-time movement, and log-based change data capture.
  • Connects preparation with quality, governance, and lineage capabilities.
Cons
  • Usage-based compute, storage, and processing costs can be harder to predict.
  • Its SageMaker focus is a narrower fit for teams outside the AWS ecosystem.
  • The published support channel is documentation.
  • Pricing is sales-led, with no public tier prices.
  • ETL/ELT transformations start at Premium, not the lower tiers.
  • Preparation is part of a broader integration suite, not a standalone focus.
Our verdict

Amazon SageMaker Data Wrangler helps machine learning teams prepare tabular, time-series, text, and image data in the cloud. Its visual flows support combining datasets, profiling and cleaning data, applying transformations, and analyzing…

Read the review →

Qlik Talend Cloud brings data movement and preparation together for teams connecting SaaS applications, databases, files, cloud services, and enterprise systems. It supports batch and real-time pipelines, change data capture, visual…

Read the review →
  1. Amazon SageMaker Data WranglerData Preparation for Analytics 9.0Paid
  2. Qlik Talend CloudData Preparation for Analytics 8.8Pricing on request

Strengths and trade-offs

  • Amazon SageMaker Data Wrangler — where it wins

    • Visual flows pair 300+ transformations with data-quality and insights reports.
    • Custom transformations support Python, PySpark, SQL, and Pandas.
    • Exports connect flows to SageMaker Pipelines, Feature Store, notebooks, and scripts.

    Where it doesn't

    • Usage-based compute, storage, and processing costs can be harder to predict.
    • Its SageMaker focus is a narrower fit for teams outside the AWS ecosystem.
    • The published support channel is documentation.

  • Qlik Talend Cloud — where it wins

    • Combines visual ETL/ELT flows with custom SQL transformations.
    • Supports batch, real-time movement, and log-based change data capture.
    • Connects preparation with quality, governance, and lineage capabilities.

    Where it doesn't

    • Pricing is sales-led, with no public tier prices.
    • ETL/ELT transformations start at Premium, not the lower tiers.
    • Preparation is part of a broader integration suite, not a standalone focus.
  • Amazon SageMaker Data Wrangler9.0/10 · Paid

    A visual preparation workflow with extensive transformations and direct SageMaker exports.

    Visit AWSFull verdict →
  • Qlik Talend Cloud8.8/10 · Pricing on request

    Combines data preparation with replication, CDC, governance, and pipeline automation.

    Visit QlikFull verdict →

More comparisons

All data preparation for analytics comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update