Sold by: SASÂ
Deployed on AWS
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
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Delivery method
Delivery option
SAS Viya Workbench Dataplane Topology
Latest version
Operating system
AmazonLinux 2023.1.0
Deployed on AWS
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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 is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
WorkbenchDataPlane | SAS Viya Workbench Data Plane | $0.00 |
WorkbenchUsers | SAS Viya Workbench Users | $0.01 |
Vendor refund policy
Refunds are not provided.
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)Â .
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
SAS Viya Workbench Dataplane Topology
CloudFormation template for provisioning a SAS Workbench DataPlane that adheres to customer information policies.
The AMI provisioned using this template adhere to the following customer information policies:
- Customer data collected: email address (CustomerAdminEmail) will be sent to SAS and used to contact the buyer in regards to the SAS Viya Workbench
The AMI provisions IAM policies to provision the necessary components to build and EKS Cluster along with Node pool groups. More details are found in the documentation.
Warning: This will create appropriate IAM roles for proper deployment of SAS Viya Workbench in EKS Cluster.
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
Updated CFT and AMI to add encryption to EBS volumes by default
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.
Updated weekly
By SAS
By Domino Data Lab
By Teradata
Top
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In Analytics, Data Analytics, ML Solutions
Top
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In Business Intelligence & Advanced Analytics, ML Solutions, Data Analytics
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AI generated from product descriptions
Multi-Language Development Support
Supports development using SAS, Python, and R programming languages with native APIs and runtime environments
Integrated Development Environments
Provides development interfaces through Visual Studio Code and Jupyter Notebook/JupyterLab platforms
Computational Resource Flexibility
Offers customizable CPU and GPU compute power with scalable infrastructure for analytical workloads
Advanced Analytical Procedures
Includes access to powerful SAS analytical procedures, native Python libraries, and specialized performance-enhancing Python extensions
Cloud-Native Development Environment
Enables self-provisioning, on-demand, and self-terminating analytical workspace with minimal infrastructure management
Machine Learning Operations (MLOps)
Integrated workflows and automation for enterprise-level model development, deployment, and monitoring across diverse computational environments
Tool and Infrastructure Ecosystem
Comprehensive support for open-source and commercial tools including Jupyter, RStudio, SAS, Anaconda, MATLAB, and distributed computing frameworks like Spark, Ray, Dask, and MPI
Cloud Deployment Flexibility
Supports hybrid and multi-cloud deployment options, including public cloud, on-premises, and seamless integration with Amazon SageMaker
Collaborative Knowledge Management
Centralized platform for cross-functional collaboration, knowledge sharing, and reproducible data science work across enterprise teams
Governance and Compliance Framework
Built-in audit-ready controls, model governance, monitoring, and reproducibility mechanisms for enterprise-level AI risk management
Data Lake Compatibility
Supports Apache Iceberg and Delta Lake open table formats with simultaneous connection to multiple open catalogs
Compute Processing
Utilizes high-performance massive parallel processing capabilities for analytics and data exploration
Programming Language Integration
Direct integration with Python for calling analytics functions, executing code, and importing Python models
Open File Format Support
Compatibility with open file formats including Parquet and CSV, with access from Jupyter Notebook
Multi-Cloud Data Access
Enables cross-read, cross-write, and cross-query of data stored in multi-cloud and multi-data-lake environments
Standard contract
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