Head-to-head · Data Science Analytics
SAS Viya vs KNIME Analytics Platform
SAS Viya leads on 0 checks, KNIME Analytics Platform on 1, and 0 are 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 · 9.0/10
- Free planonly KNIME Analytics Platform
- Free trialonly SAS Viya
SAS Viya scores higher on our rubric for data science analytics: 9.0 against 8.5 out of 10; our editors rank them #3 and #8.
KNIME Analytics Platform offers free plan; SAS Viya doesn't.
SAS Viya is the better fit for enterprises needing governed analytics across environments. KNIME Analytics Platform is the better fit for analysts who want free visual analytics workflows.
- SAS Viya fits best
Enterprises needing governed analytics across environments
- KNIME Analytics Platform fits best
Analysts who want free visual analytics workflows
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Side by side
| Feature | SAS Viya 9.0/10 Visit ↗ | KNIME Analytics Platform 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.0 | 8.5 |
| Ranking | #3 in Data Science Analytics | #8 in Data Science Analytics |
| Best for | Enterprises needing governed analytics across environments | Analysts who want free visual analytics workflows |
| Pricing model | Paid | Free |
| Starting price | Pricing on request · 14-day trial | Free |
| Free plan | — | ✓ (best) |
| Free trial | 14 days | — |
| Deployment | Cloud, Self-hosted | Desktop, Self-hosted, Cloud |
| Platforms | Web | Windows, macOS, Linux |
| Support | Email, Live chat, Phone, Tickets, Community, Docs | Community, Docs |
| Integrations | 18 integrations | 300+ integrations |
| Built for | Enterprise, Mid-market | Solo, Small business, Mid-market, Enterprise |
| Features SAS Viya 0/5 · KNIME Analytics Platform 0/5 | ||
| AutoML | Not checked yet | Not checked yet |
| Model deployment | Not checked yet | Not checked yet |
| GPU compute | Not checked yet | Not checked yet |
| SQL workspace | Not checked yet | Not checked yet |
| Dashboarding | Not checked yet | Not checked yet |
| Specs | ||
| Deployment model | Not checked yet | Not checked yet |
| Primary interface | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | SAS Viya brings data integration, analytics, and AI into a platform for organizations that need to build and govern predictive models and operationalize decisions. Its fit is strongest for enterprise and mid-market teams working across… Read the review → |
KNIME Analytics Platform is a free, open-source desktop application for data analysts, data scientists, business users, and teams that need repeatable visual workflows. Its low-code and no-code interface covers data access, transformation,… Read the review → |
Strengths and trade-offs
SAS Viya — where it wins
- Combines visual and code-based modeling with automated ML and forecasting
- Tracks model validation, monitoring, retraining, explainability, and fairness
- Deploys across cloud, on-premises, in-database, and edge environments
Where it doesn't
- Pricing is handled through a contact-sales process
- No free plan is offered
- Its broad governance and deployment scope may exceed narrower analytics needs
KNIME Analytics Platform — where it wins
- Free, open-source desktop workflows for preparation, modeling, and visualization
- 300+ connectors plus Python, R, JavaScript, cloud, and BI integrations
- Forecasting, reusable components, and batch or real-time API deployment
Where it doesn't
- Automated machine learning is not included
- Real-time REST deployment requires KNIME Hub or Server
- Support channels are limited to community resources and documentation
- SAS Viya9.0/10 · Pricing on request · 14-day trial
A broad analytics platform for enterprises managing models across environments.
Visit SAS ViyaFull verdict → - KNIME Analytics Platform8.5/10 · Free plan
A free visual analytics platform with broad connectors, scripting, forecasting, and deployment options.
Visit KNIMEFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






