Machine Learning & Scientific Python

SAS Data Maker

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01 / Overview

What is SAS Data Maker?

SAS Data Maker generates synthetic data for analytics, testing and AI development.

Who is SAS Data Maker for?

Teams evaluating synthetic data generation and rare-event data modelling. Assess privacy-oriented data workflows alongside the team’s data, permissions and deployment requirements.

02 / Capabilities

SAS Data Maker features

The core capabilities to consider for your workflow.

  • Synthetic data generation
  • Rare-event data modelling
  • Privacy-oriented data workflows
03 / Plans & costs

SAS Data Maker pricing

Plan availability

Check product licensing

Request current licensing for the exact product, deployment and usage scope. Confirm required platform subscriptions, optional modules, implementation and support separately; no unverified price is quoted here.

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Free access & evaluation

Confirm current trial eligibility, academic access and any included allowances for this specific product. A trial or access to another product in the vendor’s portfolio does not establish a permanent free production plan.

04 / Buying checklist

Before you choose SAS Data Maker

  • Evaluate utility, privacy risk and fidelity against the intended use; synthetic data does not automatically make a dataset anonymous.

05 / Related software

Explore related software

06 / Questions answered

SAS Data Maker FAQs

Does SAS Data Maker have a free plan?

Confirm current trial eligibility, academic access and any included allowances for this specific product. A trial or access to another product in the vendor’s portfolio does not establish a permanent free production plan.

Who is SAS Data Maker for?

Teams evaluating synthetic data generation and rare-event data modelling. Assess privacy-oriented data workflows alongside the team’s data, permissions and deployment requirements.

What should I compare before buying?

Check the tier that contains your essential features, confirm plan limits and compare the total quote with your own expected usage.