Sold by: SAS
Deployed on AWS
AWS Free Tier
New analytical developer canvas! Conduct exploratory data analysis to develop AI/ML models using SAS, Python or R. Quickly and easily innovate, experiment, iterate, and create powerful models. Learn More: Built for developers , SAS Viya Workbench is designed to create powerful advanced analytics using a variety of statistical and machine learning techniques. Use SAS, Python or R code in Visual Studio Code and Jupyter Notebook/JupyterLab to develop analytical and machine learning models quickly and easily with SAS, Python or R. Self-provisioning with minimal IT support needed. Choose compute power CPU/GPU to match your analytical workload. Access proven and powerful SAS analytical procedures, Python APIs and R Runtime. SAS Viya Workbench provides development and data science teams the ability to bring their own code using Visual Studio Code and Jupyter Notebook interfaces into a self-service data and compute environment - optimizing team productivity.
Overview
SAS Viya Workbench is a developer canvas for experimentation and exploration. Viya Workbench allows developers and modelers to work in the language of their choice of SAS, Python or R. Using an intuitive and flexible interface, Viya Workbench offers two development environment options - Jupyter Notebook/JupyterLab and Visual Studio Code. Tap into powerful SAS analytical procedures (PROCs), native Python APIs, or R Runtime. Accelerate development of high-performance AI models. Additionally, access state-of-the-art, custom Python libraries - unique to Viya Workbench - that can significantly improve speed and performance with minimal changes to a developer's existing Python program. Viya Workbench is a flexible, scalable and efficient development environment that is on-demand, self-provisioning and self-terminating with minimal IT support. The dedicated analytical environment features customizable CPU/GPU compute power to match the needs of the project. Models and other results can be leveraged in various production environments, including SAS Viya, for data management, governance and operational deployment. Increase developer productivity with faster AI innovation. Work with modern, open source packages and cutting-edge cloud compute. Deliver fast results and manage costs. Leverage prebuilt, scalable infrastructures that allow you to focus on creating, innovating, iterating and testing your work. Improve efficiency, compute speed, results and ultimately, time to value.
Highlights
- Developer Canvas: Novice and advanced developers and data scientists can innovate, experiment, iterate, and create in a lightweight, scalable, cloud native environment that enables developers to rapidly build highly performant analytical models.
- Open Source Flexibility: Code in SAS, Python or R using web-based industry standard code editors Visual Studio Code & Jupyter Notebook. Leverage existing projects or develop from scratch using the latest powerful SAS Procedures (PROCS), Python APIs, and R Runtime.
- Efficient Compute Engine: Assign compute tiers to enable on demand, independent provisioning. Right-size cores, memory, and GPU compute power. Scale up or down to match analytical needs. On demand and self-terminating servers for optimal efficiency.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux AL2
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Refunds are not available.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of Workbench BYOL offering.
Additional details
Usage instructions
To connect to the operating system, use SSH and the username ec2-user.
Resources
Vendor resources
Support
Vendor support
Move Your Business Forward, Faster! -Get SAS Viya Workbench up and running with minimal interruption. -Evolve your skills with online resources. -Quickly benefit from hot fixes and product updates. -Get well-informed answers from several different disciplines, including research and development, consulting services and more. -Product documentation -Online Support -Telephone Support -SAS Communities Support -Free and paid training opportunities
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
AI and Analytics has never been easier. Bring data, analytics and MLOps teams together on one governed platform.
New analytical developer canvas! Conduct exploratory data analysis to develop AI/ML models using SAS, Python or R. Quickly and easily innovate, experiment, iterate, and create powerful models. Learn More: Built for developers , SAS Viya Workbench is designed to create powerful advanced analytics using a variety of statistical and machine learning techniques. Use SAS, Python or R code in Visual Studio Code and Jupyter Notebook/JupyterLab to develop analytical and machine learning models quickly and easily with SAS, Python or R. Self-provisioning with minimal IT support needed. Choose compute power CPU/GPU to match your analytical workload. Access proven and powerful SAS analytical procedures, Python APIs and R Runtime. SAS Viya Workbench provides development and data science teams the ability to bring their own code using Visual Studio Code and Jupyter Notebook interfaces into a self-service data and compute environment - optimizing team productivity.
SAS Customer Intelligence 360 is an enterprise multi-channel marketing hub that transforms insights into action, delivering seamless, personalized customer experiences. Our technology allows marketers to replace or complement outdated MarTech and create tailored interactions that meet real-time customer needs. By dynamically consolidating online and offline interactions, the platform builds detailed customer profiles and connects known and unknown digital activities for a comprehensive 360-degree view of customer behavior. SAS Customer Intelligence 360 seamlessly integrates with data wherever it resides - cloud, on-premises, or other MarTech tools - eliminating costly and often risky migrations. It can capture detailed demographic and behavioral data to deliver personalized, targeted communications across all channels. Advanced decision-making methods, from business rules to AI models, ensure every interaction is relevant and impactful.
![SAS Viya Workbench [Private Offer Only]](https://d7umqicpi7263.cloudfront.net/img/product/76f4af9a-9bdf-4721-ad78-482380fbf216.com/6c71efecaeb9db1828e7d1d4be1c2475)
New analytical developer canvas! Conduct exploratory data analysis to develop AI/ML models using SAS or Python. Quickly and easily innovate, experiment, iterate, and create powerful models. Learn More: Built for developers , SAS Viya Workbench is designed to create powerful advanced analytics using a variety of statistical and machine learning techniques. Use SAS or Python code in Visual Studio Code and Jupyter Notebook/JupyterLab to develop analytical and machine learning models quickly and easily with SAS or Python. Self-provisioning with minimal IT support needed. Choose compute power CPU/GPU to match your analytical workload. Access proven and powerful SAS analytical procedures and Python APIs. SAS Viya Workbench provides development and data science teams the ability to bring their own code (SAS or Python) using Visual Studio Code and Jupyter Notebook interfaces into a self-service data and compute environment - optimizing team productivity.
SAS workloads come with high costs, scalability challenges, and limited flexibility. Hexaware’s Amaze® accelerates SAS-to-PySpark migration using Gen AI and LLM-powered automation, ensuring a 70-80% conversion accuracy, 3x-5x faster execution, and up to 40% cost savings.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.