Why Pay for SAS Viya Workbench When Python Is Free? The Real ROI for Australian Data Teams
Free Isn’t Always Free: Rethinking Open-Source Costs
Across Australia, many data professionals rely on open-source tools like Python. They’re powerful, flexible, and, most importantly, free. But as organisations mature and scale their data operations, the true cost of “free” tools begins to surface.
From hidden infrastructure costs to productivity bottlenecks and security concerns, relying solely on open source can hinder efficiency and delay results. That’s where SAS Viya Workbench steps in—not to replace your Python skills, but to elevate them within a secure, high-performance, enterprise-ready framework.
1. Pay Less for More Performance
Speed is ROI. Time spent waiting on slow runtimes is time wasted. SAS Viya Workbench includes multithreaded SAS analytics capabilities that deliver dramatically faster runtimes than common open-source libraries.
Real-world example: A gradient boosting model trained using the sasviya.ml Python package ran up to 100x faster than the same model in scikit-learn.
Workbench also offers on-demand compute environments that auto-terminate when not in use, helping you manage cloud resources more efficiently and reduce costs. You only pay for what you need, when you need it.
2. Boost Productivity Without Relearning Tools
Workbench integrates seamlessly with the tools your team already uses: VS Code, JupyterLab, SAS Studio—no major retraining required.
You can:
- Write Python or SAS in a unified environment
- Run integrated notebooks with code, markdown, and results
- Reuse existing projects with little to no refactoring
- The result? Immediate productivity and streamlined collaboration—perfect for fast-paced Australian teams.
3. Built-In Enterprise-Grade Security and Governance
For Australian organisations dealing with sensitive data, governance isn’t optional. SAS Viya Workbench provides:
- Secure, private cloud architecture
- Split compute and control planes
- Support for data sources like Snowflake, Oracle, and SQL Server
- GitHub integration for version control and collaboration
Plus, models built in Workbench can be registered and managed via SAS Model Manager, enabling traceable, scalable, and auditable AI development.
4. Hidden Costs of “Free” Tools
While Python has no upfront cost, deploying and managing it in an enterprise context is anything but free. You’ll need to account for:
- Engineering time to configure and maintain environments
- Security and compliance measures
- Tool sprawl and inconsistent workflows
- IT overhead and support
SAS Viya Workbench removes this burden. It’s lightweight, self-service, and scalable. Users can spin up resources without waiting on IT, allowing teams to launch faster and operate securely.
5. The ROI Australian Data Teams Need
The true ROI of SAS Viya Workbench lies in:
- Faster development cycles
- Lower infrastructure costs
- Higher team productivity
- Better model governance and traceability
It combines the flexibility of open source with the robustness of enterprise software, making it ideal for growing analytics teams that need both agility and accountability.
Conclusion: It’s Not Just About the Tools—It’s About the Outcomes
Yes, Python is free. But SAS Viya Workbench helps you build and deploy enterprise-grade analytics faster, more securely, and at scale. It’s an investment in performance, productivity, and long-term success.
Want to see how it can work for your team?
Please complete our contact form to learn more about SAS Viya Workbench and how it can deliver real ROI for your organisation.