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Head-to-head · Data Science Platforms

SAS Viya vs Oracle Cloud Infrastructure Data Science

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score SAS Viya #1 in Data Science Platforms 9.3/10 Pricing on request · 14-day trial Free trial✓ 0 of 4 features Visit SAS Viya

SAS Viya leads on 0 checks, Oracle Cloud Infrastructure Data Science 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 scoreSAS Viya · 9.3/10
  • Free trialonly SAS Viya

SAS Viya scores higher on our rubric for data science platforms: 9.3 against 8.8 out of 10; our editors rank them #1 and #7.

SAS Viya is the better fit for enterprises needing governed analytics and deployment choice. Oracle Cloud Infrastructure Data Science is the better fit for teams running end-to-end ML on Oracle Cloud.

  • SAS Viya fits best

    Enterprises needing governed analytics and deployment choice

  • Oracle Cloud Infrastructure Data Science fits best

    Teams running end-to-end ML on Oracle Cloud

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature SAS Viya 9.3/10 Visit ↗ Oracle Cloud Infrastructure Data Science 8.8/10 Visit ↗
At a glance
Editor score 9.3 8.8
Ranking #1 in Data Science Platforms #7 in Data Science Platforms
Best for Enterprises needing governed analytics and deployment choice Teams running end-to-end ML on Oracle Cloud
Pricing model Paid Paid
Starting price Pricing on request · 14-day trial Not checked yet
Free plan — —
Free trial 14 days —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Email, Live chat, Phone, Tickets, Community, Docs Docs
Integrations 18 integrations 7 integrations
Built for Enterprise, Mid-market Mid-market, Enterprise
Features SAS Viya 0/4 · Oracle Cloud Infrastructure Data Science 0/4
Hosted notebooks Not checked yet Not checked yet
Workflow automation Not checked yet Not checked yet
Model deployment Not checked yet Not checked yet
Version control Not checked yet Not checked yet
Specs
Deployment options Not checked yet Not checked yet
Supported languages Not checked yet Not checked yet
Our review
Pros
  • Combines visual modeling, code-based analytics, AutoML and forecasting workflows
  • Supports model governance, validation, monitoring, fairness testing and retraining
  • Deploys across cloud, on-premises, in-database and edge environments
  • Combines notebooks, managed compute, jobs, pipelines, and model storage
  • Deploys models as HTTP endpoints and monitors data and concept drift
  • AI Quick Actions support importing, fine-tuning, evaluating, and deploying LLMs
Cons
  • Pricing requires contacting sales rather than choosing a published plan
  • There is no free plan
  • Its broad scope may be more than teams seeking a narrowly focused tool need
  • Usage charges depend on underlying OCI infrastructure, not a fixed standalone price
  • Verified integrations center on OCI services
  • Cloud-only deployment may not suit teams seeking another deployment model
Our verdict

SAS Viya brings data access, analytics, AI and model operations into one platform for organizations building and governing predictive models and operationalizing decisions. Its mix of visual and code-based statistical modeling, automated…

Read the review →

For teams developing machine-learning models with Python and open-source tools, Oracle Cloud Infrastructure Data Science brings model development and operations into a managed cloud service. Its scope runs from cloud-hosted JupyterLab…

Read the review →
  1. SAS ViyaData Science Platforms 9.3Pricing on request · 14-day trial
  2. Oracle Cloud Infrastructure Data ScienceData Science Platforms 8.8Paid

Strengths and trade-offs

  • SAS Viya — where it wins

    • Combines visual modeling, code-based analytics, AutoML and forecasting workflows
    • Supports model governance, validation, monitoring, fairness testing and retraining
    • Deploys across cloud, on-premises, in-database and edge environments

    Where it doesn't

    • Pricing requires contacting sales rather than choosing a published plan
    • There is no free plan
    • Its broad scope may be more than teams seeking a narrowly focused tool need
  • Oracle Cloud Infrastructure Data Science — where it wins

    • Combines notebooks, managed compute, jobs, pipelines, and model storage
    • Deploys models as HTTP endpoints and monitors data and concept drift
    • AI Quick Actions support importing, fine-tuning, evaluating, and deploying LLMs

    Where it doesn't

    • Usage charges depend on underlying OCI infrastructure, not a fixed standalone price
    • Verified integrations center on OCI services
    • Cloud-only deployment may not suit teams seeking another deployment model
  • SAS Viya9.3/10 · Pricing on request · 14-day trial

    A broad analytics and model-operations platform with flexible deployment and sales-led pricing.

    Visit SAS ViyaFull verdict →
  • Oracle Cloud Infrastructure Data Science8.8/10 · Paid

    An end-to-end ML lifecycle platform for teams working in Oracle Cloud.

    Visit OracleFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update