Freedom251 › Synthetic Data Generation Software
SAS Data Maker
What SAS Data Maker is
SAS Data Maker is a web-based, cloud synthetic data platform for augmenting existing data or creating new data assets for AI development. It uses SAS algorithms to generate data from existing datasets or parameters users define, with the aim of reflecting real-world datasets. Automated visual statistical metrics help evaluate the generated data’s quality and privacy. SAS says the output is designed to protect sensitive information and support regulations such as GDPR and HIPAA; the Microsoft Marketplace listing also describes differential privacy and audit-ready workflows. Uses include balancing imbalanced data, producing rare-event samples, fraud detection, clinical trials, predictive maintenance, and policy analysis. Generated data is described as ready for AI training in the SAS Viya ecosystem. Marketplace buyers receive a linking code to deploy the data plane in their Azure subscription, where Azure costs apply. The listing advertises the first 100,000 rows free for a limited time. Pricing is on request, and SAS offers contact with an expert for questions.
Who it suits
It suits AI/ML teams, data engineers, and privacy officers, particularly in regulated industries. The listed sectors include financial services, health care and life sciences, government, telecommunications, and manufacturing.
What it does well
- Generates synthetic data from datasets or user-defined parameters
- Visual metrics evaluate quality and privacy
- Supports differential privacy
- Listed uses include clinical trials and fraud detection
- Output is ready for AI training in SAS Viya
What to know first
- Pricing is available on request
- Azure deployment incurs Azure costs
- The first 100,000 rows offer is limited-time
Limits
The Marketplace promotion covers the first 100,000 rows for a limited time. Azure costs apply when the data plane runs in your subscription.
Getting started
- Open the SAS Data Maker website
- Contact a SAS expert with questions
- Purchase the application through Microsoft Marketplace
- Receive the linking code
- Deploy the data plane in your Azure subscription
Verdict
SAS Data Maker combines synthetic data generation with automated quality and privacy evaluation. Its listed use cases span several industries, while Azure deployment and pricing details are factors to clarify before choosing it.
Questions
What does SAS Data Maker do?
It generates synthetic data from existing data or user-defined parameters using SAS algorithms.
Which platforms support SAS Data Maker?
It is available on the web and offered as a cloud deployment.
How is generated data evaluated?
Automated visual statistical metrics evaluate its quality and privacy.
Does it support privacy requirements?
SAS describes protection for sensitive information and support for GDPR and HIPAA, with built-in differential privacy in the Marketplace listing.
How is Azure deployment handled?
A Marketplace purchase provides a linking code to deploy the application's data plane in your Azure subscription; Azure costs apply.
Facts from SAS Data Maker's own pages
- AI development
- It generates synthetic data to augment existing data or create new data assets for AI development. · sas.com, 9 Oct 2026
- Audience
- The Marketplace listing identifies AI/ML teams, data engineers and privacy officers in regulated industries as intended users. · marketplace.microsoft.com, 9 Oct 2026
- Azure deployment
- The Microsoft Marketplace listing says buyers receive a linking code to deploy the application’s data plane in their Azure subscription, where Azure costs apply. · marketplace.microsoft.com, 9 Oct 2026
- Data generation
- It uses SAS algorithms to create synthetic data from existing data or user-defined parameters. · sas.com, 9 Oct 2026
- Deployment
- After purchase through Microsoft Marketplace, customers receive a linking code to deploy the application's data plane within their Azure subscription, where Microsoft Azure costs apply. · marketplace.microsoft.com, 9 Oct 2026
- Evaluation
- It provides automated visual statistical metrics to evaluate the quality and privacy of generated data. · sas.com, 9 Oct 2026
- Founded
- 1976 · sas.com, 28 Sept 2026
- Headquarters
- Cary, North Carolina, USA · sas.com, 28 Sept 2026
- Industries
- The Marketplace listing names financial services, health care and life sciences, government and public sector, telecommunications, and manufacturing. · marketplace.microsoft.com, 9 Oct 2026
- Industry coverage
- The Marketplace listing names financial services, health care and life sciences, government and public sector, telecommunications, and manufacturing. · marketplace.microsoft.com, 9 Oct 2026
- Integration
- The product page says generated data is ready for AI training within the SAS Viya ecosystem. · sas.com, 9 Oct 2026
- Maker
- SAS identifies Cary, North Carolina as its corporate headquarters and states that SAS was founded in 1976. · sas.com, 9 Oct 2026
- Marketplace offer
- The Microsoft Marketplace listing advertises the first 100,000 rows free for a limited time. · marketplace.microsoft.com, 9 Oct 2026
- Pricing visibility
- The Marketplace Plans tab opened but displayed “Loading...” without showing plan prices. · marketplace.microsoft.com, 9 Oct 2026
- Privacy
- SAS says the generated data is designed to protect sensitive information and supports privacy regulations such as GDPR and HIPAA. · sas.com, 9 Oct 2026
- Product
- SAS Data Maker is a low-code/no-code synthetic data platform that generates data mirroring real-world data sets. · sas.com, 9 Oct 2026
- Promotion
- The Marketplace listing advertises the first 100,000 rows free for a limited time. · marketplace.microsoft.com, 9 Oct 2026
- Quality and privacy evaluation
- Automated visual statistical metrics evaluate the quality and privacy of generated data. · sas.com, 9 Oct 2026
- Security
- The Marketplace listing describes built-in differential privacy protection and audit-ready synthetic data workflows. · marketplace.microsoft.com, 9 Oct 2026
- Support
- The product page offers contact with a SAS expert for questions. · sas.com, 9 Oct 2026
- Use cases
- The page describes uses including balancing imbalanced data, generating rare-event samples, fraud detection, clinical trials, predictive maintenance and policy analysis. · sas.com, 9 Oct 2026
Where SAS Data Maker stands on Freedom251
- Synthetic Data Generation Software#29 of 29