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Ratings and Reviews 0 Ratings
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What is SAS Viya?
SAS® Viya® presents a powerful and adaptable analytics platform that is highly efficient and straightforward to implement, empowering organizations to tackle various business challenges effectively. The platform automatically generates insights that assist in identifying the most commonly utilized variables in all models, showcasing essential variables chosen alongside evaluation results for each model. The inclusion of natural language generation allows for the creation of project summaries in clear language, making it easier for users to understand reports. Furthermore, analytics team members can improve the insights report by adding project notes, which fosters enhanced communication and collaboration within the team. SAS also supports the integration of open-source code into analyses, enabling users to seamlessly incorporate open-source algorithms within its framework. This adaptability promotes collaboration across the organization, as users can code in their language of choice. Additionally, users can take advantage of SAS Deep Learning with Python (DLPy), an open-source package accessible on GitHub, to further amplify their analytical capabilities. With the combination of these features, businesses can greatly improve their data-driven decision-making processes while fostering a more collaborative analytical environment. Overall, SAS Viya not only enhances efficiency but also encourages innovation within data analysis practices.
What is Azure Data Science Virtual Machines?
Data Science Virtual Machines (DSVMs) are customized images of Azure Virtual Machines that are pre-loaded with a diverse set of crucial tools designed for tasks involving data analytics, machine learning, and artificial intelligence training. They provide a consistent environment for teams, enhancing collaboration and sharing while taking full advantage of Azure's robust management capabilities. With a rapid setup time, these VMs offer a completely cloud-based desktop environment oriented towards data science applications, enabling swift and seamless initiation of both in-person classes and online training sessions. Users can engage in analytics operations across all Azure hardware configurations, which allows for both vertical and horizontal scaling to meet varying demands. The pricing model is flexible, as you are only charged for the resources that you actually use, making it a budget-friendly option. Moreover, GPU clusters are readily available, pre-configured with deep learning tools to accelerate project development. The VMs also come equipped with examples, templates, and sample notebooks validated by Microsoft, showcasing a spectrum of functionalities that include neural networks using popular frameworks such as PyTorch and TensorFlow, along with data manipulation using R, Python, Julia, and SQL Server. In addition, these resources cater to a broad range of applications, empowering users to embark on sophisticated data science endeavors with minimal setup time and effort involved. This tailored approach significantly reduces barriers for newcomers while promoting innovation and experimentation in the field of data science.
Integrations Supported
Azure Marketplace
Microsoft Azure
Apache Spark
Azure Blob Storage
Azure Machine Learning
Jupyter Notebook
MLflow
Microsoft 365
Microsoft Cognitive Toolkit
Microsoft Power BI
Integrations Supported
Azure Marketplace
Microsoft Azure
Apache Spark
Azure Blob Storage
Azure Machine Learning
Jupyter Notebook
MLflow
Microsoft 365
Microsoft Cognitive Toolkit
Microsoft Power BI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.005
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SAS
Company Location
United States
Company Website
www.sas.com/en_us/software/data-science-offerings.html
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports