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SAS Viya WorkbenchSAS

SAS Viya Workbench offers a cloud-based development environment for SAS and Python coding. It provides on-demand computing power, seamless integration with IDEs, and supports rapid model development, enhancing productivity and collaboration for developers and data scientists.

Vendor

Vendor

SAS

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Company Website

Product details

What is Viya Workbench?

Viya Workbench is a low-cost, cloud-based development environment that lets developers, data scientists and modelers code in SAS and Python (with R support coming soon) through Visual Studio Code or Jupyter Notebook. It combines:

  • A self-service, on-demand workspace that provides instant access to powerful SAS analytics capabilities.
  • Support for both SAS®9 and Viya multithreaded procedures, with performance up to 30 times faster than competing platforms.
  • Seamless integration with existing SAS and Python code.
  • Secure cloud deployment optimized for AWS Virtual Private Cloud users.
  • Built-in data management, analysis and modeling tools with automatic updates and backups.

Ready to accelerate your AI development?

Build transformative analytic, machine learning and AI models more efficiently – no learning curve, no downtime – in a coding environment made for developers and modelers.

SAS Viya Workbench

Get on-demand computing power and self-service flexibility for fast SAS or Python coding.

Speed & simplicity

Build powerful models quickly and efficiently through the code-based environment. An intuitive user interface and integrations with your favorite IDEs get you up and running in minutes. Streamline your work by pulling in existing Python or SAS projects – with minimal to no code modification needed.

Customization & efficiency

Boost productivity and performance by customizing your CPU/GPU compute power to fit the needs of your project. Develop on demand with self-provisioning and self-terminating features, requiring minimal IT support.

AI innovation & APIs

Focus on creating, innovating, iterating and testing your work through a code-based interface using Jupyter Notebook/JupyterLab and Visual Studio Code. Accelerate the development of high-performance models by tapping into the latest SAS PROCs and Python APIs within Viya Workbench. Use state-of-the-art Python libraries, unique to Viya Workbench.

Python developers: Drive faster, smarter AI innovation

Update, back up & reuse existing Python code & the latest Python API integration

Use the latest Python APIs for retrieval, parsing, updating & data manipulation. Code from scratch or use existing code with minimal modifications. Enjoy the ease of working in a familiar interface that boosts your productivity. Effortlessly update and back up your work whenever you need for peace of mind.

Empowering developers & data scientists with freedom, flexibility & cutting-edge analytics

Develop models quickly & more cost-effectively

  • Spin up a Viya Workbench session in the cloud in seconds.
  • Configure server size to match your workload requirements, choosing your cores, memory and GPUs.
  • Minimize cloud computing costs with self-terminating sessions that resume automatically where you left off.
  • Take advantage of fast point-and-click self-provisioning that requires minimal IT support.

Boost the productivity of both SAS & Python developers

  • There's minimal to no learning curve for SAS, Python and R users.
  • Choose your favorite coding language (SAS or Python) and IDE (VS Code or Jupyter Notebook).
  • Create new projects or use existing ones.
  • Develop from the ground up or import existing SAS or Python code.
  • Collaborate using GIT for distributed version control, backups and archiving.
  • Save your model score code as executable modules for easy production use.

Access industry-leading analytics from a company you can trust

  • Build cutting-edge analytic, AI and machine learning models quickly and consistently. 
  • Optimize your development process, including data preparation, exploration, advanced analytics and AI/ML modeling.
  • Incorporate best-in-class, highly performant SAS analytical capabilities and procedures.
  • Use the latest Python APIs, enabling retrieval, parsing, updating and data manipulation.
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