Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

SAS Data Maker review

#2 of 29 in Synthetic Data Generation Software

A mature low-code platform for generating, evaluating and augmenting synthetic data.

9.1/10Editor score
SAS Data Maker9.1 Visit SAS

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

SAS Data Maker is a web-based, cloud synthetic data platform for organizations creating realistic datasets for AI development, analytics, testing and simulation. It supports low-code/no-code workflows, generating data from existing datasets or user-defined parameters. Teams in financial services, health care, life sciences, government, manufacturing and retail can use it to address privacy constraints, limited data access, imbalanced classes and rare events.

Its standout capability is the combination of generation methods and evaluation. SAS Data Maker includes Bayesian Network, MST and SMOTE methods, along with differential privacy. Data augmentation targets imbalanced classes and rare events, while visual statistical similarity evaluation helps assess how closely generated datasets reflect the intended characteristics. Automated privacy and quality metrics add structured checks for realism and risk, making the product a fit for teams that need more than basic random data generation.

Pricing follows a contact-sales model, so buyers should expect a sales-led evaluation rather than a published product-specific amount. The platform integrates with Microsoft Azure and Snowflake, which supports organizations working within those ecosystems. SAS Data Maker is a strong choice for mature teams that want low-code synthetic data generation with built-in privacy and quality evaluation. Organizations needing a broader set of named platform integrations or a publicly listed price should consider alternatives with those characteristics.

SAS Data Maker pros and cons

  • Where it wins
    • Low-code generation from datasets or user-defined parameters
    • Bayesian Network, MST, SMOTE and differential privacy methods
    • Automated privacy, quality and statistical similarity evaluation
  • Where it doesn't
    • Pricing requires contact with sales
    • Web-based cloud deployment only
    • Named integrations are limited to Microsoft Azure and Snowflake

SAS Data Maker fact sheet, pricing and score →

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.

Last updated · How we research and update