---
title: SAS Data Maker Reviews
meta_title: 'SAS Data Maker Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how SAS Data Maker works for a business like yours.
date_modified: '2026-04-02'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---

# SAS Data Maker Reviews
**Vendor:** SAS Institute Inc.  
**Category:** [Synthetic Data Tools](https://www.g2.com/categories/synthetic-data)
## About SAS Data Maker
SAS Data Maker is a secure, enterprise-grade synthetic data generator designed to create statistically representative data without exposing sensitive or regulation-protected information. It enables organizations to generate synthetic data that mirrors real-world data's statistical, relational, and temporal characteristics, facilitating robust AI model development and data analysis while ensuring privacy and compliance. Key Features and Functionality: - Enterprise-Grade Trust and Capabilities: Leveraging decades of expertise in regulated industries such as banking, healthcare, and government, SAS Data Maker provides multitable source data, time series data, and differential privacy to meet enterprise-level synthetic data requirements. - No-Code Interface: The user-friendly graphical user interface (GUI) democratizes synthetic data generation, allowing business users to create and manage data without extensive technical knowledge. - Built-In Data Quality and Evaluation Tools: The solution includes tools to support various generation methods and evaluate the quality of synthetic data using visual metrics, ensuring statistical fidelity to real-world datasets. - Privacy-Enhancing Technologies (PETs): Users can seamlessly integrate synthetic data into existing workflows without significant changes, enabling the safe use of data without compromising privacy. Primary Value and User Solutions: SAS Data Maker addresses challenges related to data scarcity, privacy concerns, and regulatory compliance by providing a reliable method to generate synthetic data. This capability allows organizations to: - Accelerate AI Development: By filling gaps in training data, organizations can develop and deploy AI models more rapidly and effectively. - Enhance Data Privacy: Synthetic data generation mitigates risks associated with handling sensitive information, ensuring compliance with privacy regulations. - Reduce Costs: Organizations can minimize expenses related to data acquisition and processing by generating synthetic data instead of collecting real-world data or purchasing third-party datasets. By integrating SAS Data Maker into their data ecosystems, organizations can innovate responsibly, leveraging synthetic data to drive insights and decision-making without compromising data privacy or security.






- [View SAS Data Maker pricing details and edition comparison](https://www.g2.com/products/sas-data-maker/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-23+06%3A57%3A37+-0500&secure%5Bsession_id%5D=78a60977-6f5f-4484-8301-7b71573bf173&secure%5Btoken%5D=d8094797ead1516b21adffcf0ce16eb49b7139a414e927bd0295a5387effeac5&format=llm_user)

## SAS Data Maker Features
**Data Type**
- Structured Data
- Image Data
- Data Labeling/Annotation

**Synthesis Type**
- Full Synthesis
- Partial Synthesis

**Data Transformation**
- Data Utility
- Data Quality
- Privacy
- Data Formats
- Scale

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