SAS Data Maker
SAS Data Maker: A mature low-code platform for generating, evaluating and augmenting synthetic data. Ranked #2 of 29 in Synthetic Data Generation Software by our editors (9.1/10); pricing: Pricing on request; best for mature low-code synthetic data generation.
At a glance
- Editor score9.1 / 10
- PricingPricing on request
- Best forMature low-code synthetic data generation
- Privacy techniqueDifferential privacy
- Founded1976 · Cary, North Carolina, USA
- Facts checked22 Sep 2026
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
Our verdict on SAS Data Maker
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.
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SAS Data Maker pricing
SAS Data Maker fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Data modalities | Not verified |
| Privacy technique | Differential privacy |
| Deployment options | Cloud |
| API access | Not verified |
| Generation limit | Not verified |
| Output formats | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | GDPR, HIPAA |
| Support | Community, Docs, Tickets |
| Built for | Enterprise (editorial estimate) |
| Integrations | 2 integrations: Microsoft Azure, Snowflake |
| Pricing | Pricing on request (source) |
| Website | sas.com |
| Facts checked | 22 Sep 2026 |
SAS Data Maker integrations
SAS Data Maker lists 2 integrations on its own site.
- Microsoft Azure
- Snowflake
Alternatives to SAS Data Maker
- NeMo Data DesignerA broad open-source toolkit for developers creating multimodal synthetic datasets.9.3
- NVIDIA OmniverseA free, programmable toolkit for visual and sensor-data generation pipelines.9.0
- Tonic.aiBroad synthetic data and API generation with a free entry plan and paid usage tiers.8.7
See all SAS Data Maker alternatives →
SAS Data Maker vs the competition
- SAS Data Maker vs NeMo Data Designer
- SAS Data Maker vs NVIDIA Omniverse
- SAS Data Maker vs Tonic.ai
- SAS Data Maker vs MOSTLY AI
- SAS Data Maker vs Synthesized
- SAS Data Maker vs Aindo Synthetic Data Platform
Compare SAS Data Maker with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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