Softwr

Machine Learning & Data Science · head to head

SAS vs TensorFlow

SAS logo

SAS

Machine Learning & Data Science

Analytics, AI and data management software

From
Free
Rated
-
Full reviewWebsite
TensorFlow logo

TensorFlow

Machine Learning & Data Science

Open-source machine learning framework by Google

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: SAS sAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • They diverge on capability: SAS covers Statistical analysis, TensorFlow covers Deep learning framework.

Where they differ

Only the attributes on which SAS and TensorFlow actually diverge.

Attributes where SAS and TensorFlow differ
AttributeSASTensorFlow
Pricing modelsubscriptionUnknown
PlatformsLinux, Windows, WebPython, JavaScript, C++, Java, Go, Rust
Founded19761998

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in SAS

  • Statistical analysis
  • Machine learning
  • Forecasting
  • Text analytics
  • Optimization
  • Python
  • R
  • Hadoop

Only in TensorFlow

  • Deep learning framework
  • Neural network training
  • Model deployment
  • TensorBoard visualization
  • Distributed training
  • Keras
  • TensorFlow Lite
  • TensorFlow.js

Both cover

  • Linux support
  • Windows support
  • Web support

What people use each for

The jobs each tool is most often brought in to do.

SAS

  • Regulated statistical analysis and clinical reportingnot TensorFlow
  • Enterprise data management, visualization and decisioning on one licensed platformnot TensorFlow

TensorFlow

  • Machine learningnot SAS
  • Data analysisnot SAS
  • Model trainingnot SAS
  • Predictive analyticsnot SAS

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

SAS

  • SAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
  • Most new and existing customers are routed through authorized resellers rather than buying direct
  • Cloud marketplace purchases require choosing between pay as you go and bring your own licence, each with different licensing terms

TensorFlow

  • PyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • Broader ecosystem is more complex to navigate for new users compared to PyTorch's more Pythonic API
  • Performance advantage over PyTorch exists mainly at very large scale with TPUs, not for most workloads

Pricing, plan by plan

SAS

Free
  • SAS OnDemand for AcademicsFree
    • Academic use
    • Core SAS
  • SAS ViyaFree
    • Full platform
    • Cloud-native
    • AI/ML

TensorFlow

Free

No published plan breakdown. See the TensorFlow review.

Which should you pick?

Choose SAS if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Linux, Windows, Web.
  • You also want machine learning.
SAS review

Choose TensorFlow if

  • You need deep learning framework.
  • You want to start without paying.
  • You work on Python, JavaScript, C++, Java, Go, Rust.
  • You also want neural network training.
TensorFlow review

Questions people ask

Is SAS or TensorFlow better?
Neither clearly leads. SAS starts at Free and TensorFlow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, SAS or TensorFlow?
SAS starts at Free and TensorFlow at Free.
Does SAS or TensorFlow run on more platforms?
SAS runs on Linux, Windows, Web. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
Can I use SAS for free?
Both have a free tier, so you can try either at no cost before committing.
What is SAS best used for?
SAS is most often used for regulated statistical analysis and clinical reporting, enterprise data management, visualization and decisioning on one licensed platform. Of those, regulated statistical analysis and clinical reporting and enterprise data management, visualization and decisioning on one licensed platform are not what TensorFlow is typically brought in for.
What can SAS do that TensorFlow cannot?
SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization. Both handle Linux support, Windows support, Web support.

Answered from the vendors’ own pages

TensorFlow: Can I run TensorFlow in a web browser?

Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.

Source
TensorFlow: Does TensorFlow support deployment on mobile devices?

Yes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.

Source
TensorFlow: What hardware accelerators does TensorFlow support?

TensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.

Source
TensorFlow: Is TensorFlow free and open-source?

Yes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.

Source
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