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Head-to-head · Synthetic Data Generation Software

NeMo Data Designer vs SAS Data Maker

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score NeMo Data Designer #1 in Synthetic Data Generation Software 9.3/10 Open source ✓ 1 of 1 features Visit site
SAS Data Maker #2 in Synthetic Data Generation Software 9.1/10 Pricing on request ✓ 0 of 1 features Visit SAS

NeMo Data Designer leads on 0 checks, SAS Data Maker on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreNeMo Data Designer · 9.3/10
  • Most featuresNeMo Data Designer · 1 of 1

NeMo Data Designer scores higher on our rubric for synthetic data generation software: 9.3 against 9.1 out of 10; our editors rank them #1 and #2.

On deployment options, NeMo Data Designer gives you Hybrid where SAS Data Maker offers Cloud.

NeMo Data Designer is the better fit for open-source multimodal dataset creation. SAS Data Maker is the better fit for mature low-code synthetic data generation.

  • NeMo Data Designer fits best

    Open-source multimodal dataset creation

  • SAS Data Maker fits best

    Mature low-code synthetic data generation

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Side by side

Feature NeMo Data Designer 9.3/10 Visit ↗ SAS Data Maker 9.1/10 Visit ↗
At a glance
Editor score 9.3 9.1
Ranking #1 in Synthetic Data Generation Software #2 in Synthetic Data Generation Software
Best for Open-source multimodal dataset creation Mature low-code synthetic data generation
Pricing model Free Paid
Starting price Open source Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Docs Community, Docs, Tickets
Integrations 7 integrations 2 integrations
Built for Small business, Mid-market, Enterprise Enterprise
Features NeMo Data Designer 1/1 · SAS Data Maker 0/1
API access ✓ (best) Not checked yet
Specs
Data modalities tabular, text, code, structured JSON, images, embeddings Not checked yet
Privacy technique Not checked yet Differential privacy
Deployment options Hybrid Cloud
Generation limit Not checked yet Not checked yet
Output formats CSV, JSON, JSONL, Parquet Not checked yet
Our review
Pros
  • Covers tabular, text, code, JSON, images, and embeddings
  • Offers SDK, CLI, REST, hosted, and self-hosted execution
  • Combines previews, dependencies, validation, and quality scoring
  • Low-code generation from datasets or user-defined parameters
  • Bayesian Network, MST, SMOTE and differential privacy methods
  • Automated privacy, quality and statistical similarity evaluation
Cons
  • Hosted NVIDIA Build jobs allow a maximum of 100 records per job
  • Ecosystem integrations are concentrated in NVIDIA and NeMo services
  • Generation workflows require Python configuration and schema design
  • Pricing requires contact with sales
  • Web-based cloud deployment only
  • Named integrations are limited to Microsoft Azure and Snowflake
Our verdict

NeMo Data Designer is NVIDIA’s open-source framework for creating configurable synthetic datasets from scratch or seed data. It is aimed at developers and data teams building training, testing, or evaluation datasets across tabular data,…

Read the review →

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…

Read the review →
  1. NeMo Data DesignerSynthetic Data Generation Software 9.3Open source
  2. SAS Data MakerSynthetic Data Generation Software 9.1Pricing on request

Strengths and trade-offs

  • NeMo Data Designer — where it wins

    • Covers tabular, text, code, JSON, images, and embeddings
    • Offers SDK, CLI, REST, hosted, and self-hosted execution
    • Combines previews, dependencies, validation, and quality scoring

    Where it doesn't

    • Hosted NVIDIA Build jobs allow a maximum of 100 records per job
    • Ecosystem integrations are concentrated in NVIDIA and NeMo services
    • Generation workflows require Python configuration and schema design

  • SAS Data Maker — 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
  • NeMo Data Designer9.3/10 · Open source

    A broad open-source toolkit for developers creating multimodal synthetic datasets.

    Visit siteFull verdict →
  • SAS Data Maker9.1/10 · Pricing on request

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

    Visit SASFull verdict →

More comparisons

All synthetic data generation software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update