--- title: "SAS Viya Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about SAS Viya Software - reviews, pricing plans, popular comparisons to other Data Catalog products and more." source_url: "https://www.capterra.com/p/10004983/SAS-Viya/" page_type: "product" language: "en" --- # SAS Viya Software Review 2026: Features, Reviews, Integrations, Pros & Cons Last updated on August 20, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews) SAS Viya ## What is SAS Viya? SAS Viya is a cloud-native data and AI platform that streamlines analytics workflows from data management to model deployment. It connects to diverse data sources with built-in governance and lineage tracking, ensuring seamless access and auditability. Teams can prepare and transform data while maintaining transparency. The platform supports the model lifecycle with tools for automated machine learning, statistical modeling, and AI development. The SAS Viya Copilot offers intelligent assistance for data and AI tasks. Organizations can deploy models into workflows using business rules and real-time event detection. SAS Viya integrates with Python, R, Java, and REST APIs, supporting deployment on AWS, Azure, Google Cloud, or on-premises infrastructure. It fosters collaboration with governance ensuring compliance and oversight. ## What is SAS Viya used for? [Machine Learning](https://www.capterra.com/machine-learning-software/)[Predictive Analytics](https://www.capterra.com/predictive-analytics-software/)[Data Preparation](https://www.capterra.com/data-preparation-software/) Overall rating Based on 12 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Starting price Free trial available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... ## SAS Viya alternatives Highest Rated [4.7 (135)](https://www.capterra.com/p/141678/Phocas-Software/reviews/) Starting price $150.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 98% of reviewers rated it above 4 stars [Tableau](https://www.capterra.com/p/208764/Tableau/) [4.6 (2,358)](https://www.capterra.com/p/208764/Tableau/reviews/) Starting price $15.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/208764/Tableau/) [Zoho Analytics](https://www.capterra.com/p/129749/Zoho-Analytics/) [4.4 (361)](https://www.capterra.com/p/129749/Zoho-Analytics/reviews/) Starting price $30.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 91% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/129749/Zoho-Analytics/) [Domo](https://www.capterra.com/p/119119/Domo/) [4.3 (331)](https://www.capterra.com/p/119119/Domo/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 85% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/119119/Domo/) [View all alternatives](https://www.capterra.com/p/10004983/SAS-Viya/alternatives/) ## FAQs about SAS Viya Overview ### Which roles and teams benefit most from SAS Viya? SAS Viya is most used by analytics and data science teams, including analysts, data scientists, biostatisticians, and statistical programmers, who build models, analyze complex datasets, and automate reporting. Risk, compliance, and consulting professionals use it for governance and decision support, while managers, academics, and developers rely on dashboards, research workflows, and visualization. Answer based on 12 reviews Overview ### What company size and industries is SAS Viya built for? SAS Viya is built primarily for enterprises, with 92% of reviewers from enterprise companies, especially Management Consulting at 25% and Government Administration at 17%. It serves data scientists, IT departments, business analysts, regulated industries, risk-sensitive organizations, and Fortune 100 companies, with some midsize business use at 8%. Answer based on 12 reviews Features and Usability ### What are the key features of SAS Viya? SAS Viya offers AI/Machine Learning, predictive analytics, and statistical modeling for advanced analysis. It also includes data integration, data preparation, data governance, and data quality control, plus real-time analytics, visual analytics, dashboards, and reporting. Workflow automation, access controls/permissions, and encryption support management and data security. Integrations ### Which third-party tools and platforms does SAS Viya integrate with? SAS Viya connects natively to Apache Spark, Salesforce Sales Cloud, SAS Studio, and SAS Visual Analytics, and it also supports platforms such as Amazon S3, Amazon Redshift, Databricks, Google BigQuery, Microsoft Azure, and Microsoft Excel. Its catalog lists about 40 integrations across cloud, analytics, and business tools. Answer based on 3 reviews Getting Started and Support ### What training and onboarding options does SAS Viya offer? SAS Viya provides in person training, live online sessions, webinars, documentation, and videos. These formats support guided instruction, remote learning, self-paced reference, and recorded demonstrations for teams getting started with the platform and its features. Getting Started and Support ### What customer support options does SAS Viya offer? SAS Viya provides Email/Help Desk, FAQ/Forum, Knowledge Base, Phone Support, 24/7 Live Rep, and Chat. No reviewer feedback is available to describe response times, helpfulness, or common frustrations, so support experience details cannot be summarized from user sentiment. ## Features Data Visualization 4.6 (7) 100.00% of 7 reviewers that rated this feature as important or highly important Graphical representation of data Statistical Analysis 4.5 (4) 100.00% of 4 reviewers that rated this feature as important or highly important Apply statistical/mathematical models to sets of data Predictive Analytics 3.7 (3) 100.00% of 3 reviewers that rated this feature as important or highly important Predict future data based on historical data sets Statistical Simulation 4.3 (3) 100.00% of 3 reviewers that rated this feature as important or highly important Assess the performance of a method by picking a random sample from a normal distribution Ad hoc Reporting 3.0 (2) 100.00% of 2 reviewers that rated this feature as important or highly important Generate one-off reports that meet information requirements AI/Machine Learning 4.5 (2) 100.00% of 2 reviewers that rated this feature as important or highly important Software program that continuously adjusts its behavior based on observed data SAS Viya 104 features ### All Features - Access Controls/Permissions: Define levels of authorization for access to specific files or systems - Ad hoc Reporting: Generate one-off reports that meet information requirements - AI Copilot: A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users - AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data - API: Application programming interface that allows for integration with other systems/databases - Archiving & Retention: Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes - Artificial Neural Networks: Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. - Automated Responses: Automatic reply functionality for incoming messages - Automated Scheduling: Automatically create schedules based on business needs or employee availability and qualifications - Automatic Backup: Data is backed up automatically to prevent data loss - Big Data Analytics: Examine large amounts of data to uncover hidden patterns, correlations, and other insights - Budgeting/Forecasting: Create budgets based on historical data and future projections - Categorization/Grouping: Organize and group data or items based on various criteria - Chatbot: AI-based platform which conducts a conversation via auditory or textual methods - Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together - Compliance Management: Track and manage adherence to policies for any service, product, process, or supplier - Configurable Workflow: Configure existing workflows to meet your organization's needs - Customer Database: A collection of customer information such as contact details, demographics, previous interactions, etc. - Customizable Dashboard: Alter the layout and content of dashboards - Customizable Templates: Pre-designed layouts that can be customized to match preferences and requirements - Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics - Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software - Data Blending: Merge data from multiple sources to a single data set - Data Capture and Transfer: Import, collect, and capture data from multiple sources - Data Catalog: An organized inventory of all data assets - Data Classification: Grouping log entries based on similar attributes. - Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset - Data Connectors: Connect to big data sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Governance: Collection of processes, policies, and standards to manage the storage & usability of enterprise data - Data Import/Export: Import and export data to and from software applications - Data Integration: Combining data from different sources and providing a unified view - Data Lineage: Gives visibility to the origin, history, transformation and location of data - Data Management: Ability to handle large datasets - Data Mapping: Track the management and flow of data throughout the organization - Data Migration: Move from one database to another, or upgrade the version of database software being used - Data Mining: AI method of discovering or extracting data patterns from larger volumes of data - Data Modeling: Conceptual model of how data items relate to each other - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs. - Data Quality Control: Establish guidelines about how much and what kind of data can be stored in the repository - Data Recovery: Ability to restore deleted, hidden, or lost data from an email server/system - Data Security: Protect sensitive data for digital privacy - Data Storage Management: Manage and store data in a database - Data Subject Requests (DSR/DSAR): Request from data subject to data controller to access, change or delete personal/sensitive information - Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency - Data Transformation: Translate EDI formats into data suitable for use with company applications. - Data Visualization: Graphical representation of data - Data Warehouse: Data vault where data is aggregated for later distribution to applications. - Data Warehousing: Central repositories of integrated data from various sources - Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action - Decision Tree: Support tool that enables users to progress through a series of steps to solve a problem - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components - Encryption: Convert data into a code for security - ETL: Process of extracting, transforming, and loading data - Forecasting: Form predictions based on past and present data/trends - Forms Management: Store, manage and track all forms in a centralized location - Geographic Maps: Visualize locations on a map - High Volume Processing: Process and analyze large volume of data - Integrations Management: Identify which applications need to exchange data and enable these data connections - Key Performance Indicators: Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity - KPI Monitoring: Tracking the status of previously identified performance measurements - Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue - Metadata Extraction: Retrieval of embedded metadata that is present within a file - Metadata Management: Collect and maintain structured information that describes data or content - Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making - Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user - Multiple Data Sources: Allows users to manage data from a number of sources - Natural Language Processing: Process and analyze human language in text or audio form - Neural Network Modeling: A classification and/or predictive modeling technique used for data analysis - No-Code: Drag and drop/visual interfaces that allow non-tech users to build without writing code - Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc. - Predictive Analytics: Predict future data based on historical data sets - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Quality Control: Ensure that quality requirements and standards are met across production processes - Real-Time Analytics: Analyze and gain insights into data in real-time - Real-Time Data: Receive data and information in real time - Real-Time Monitoring: Active monitoring of systems, applications, or networks - Real-Time Reporting: Active reporting of data and metrics - Real-Time Updates: Receive system updates as soon as any changes are made - Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Scheduled/Automated Reports: Set a time to generate routine reports automatically - Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria - Secure Data Storage: Securely stores data to prevent data loss or breaches - Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department - Self-service Analytics: Generate reports on your own without IT involvement - Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral - Single Page View: Display aggregated data points on one page for a bird's eye view assessment - Statistical Analysis: Apply statistical/mathematical models to sets of data - Statistical Simulation: Assess the performance of a method by picking a random sample from a normal distribution - Tagging: Attach digital tags to documents and assets for identification, search, or monitoring purposes - Templates: Sample files or documents that could be customized as needed or used as is - Text Analysis: Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc - Third-Party Integration: Addition of necessary external data, applications, tools, or features - Third-Party Integrations: Set up connections to third-party platforms to improve business processes - Time Series Analysis: Series of data points indexed in time order - Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data - Visual Discovery: Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries. - Visualization: Graphical representation of data or processes - Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows - Workflow Management: Create, design and manage workflows for repetitive tasks --- Get Advice We can help you find the software with the features you need. Features 4.4 (12) 4.4 Based on 12 reviews ## Pricing Value for money 3.7 (9) Value for money 3.7 (9) 3.7 Based on 9 reviews ## Integrations [ Google Drive](https://www.capterra.com/p/161425/Drive/)[ Microsoft PowerPoint](https://www.capterra.com/p/141633/PowerPoint/)[ Microsoft Excel](https://www.capterra.com/p/176574/Excel/)[ OneDrive](https://www.capterra.com/p/161304/OneDrive/)[ Microsoft Teams](https://www.capterra.com/p/168668/Microsoft-Teams/)[ Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/)[ Microsoft Word](https://www.capterra.com/p/227146/Microsoft-Word/)[ Microsoft Outlook](https://www.capterra.com/p/227138/Microsoft-Outlook/) Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 3.9 (9) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 3.9 (9) 3.9 Based on 9 reviews ## User reviews Overall rating 4.4 Based on 12 reviews Filter by rating 5(7) 4(4) 3(0) 2(1) 1(0) Mentioned topic Sorted by most recent EP Elena P. Assoc. Prof. Higher Education ### "Behind the Dashboard: What It’s Really Like Using SAS Viya" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 September 3, 2025 Despite the analytical power and enterprise readiness, SAS Viya may not be the best fit for small teams or those just starting out with data science. Esp that I have tried to attract students in a Machine Learning course that are used to code in Python. But I shall continue to try :-) Pros It has faster AI model training; It combines business rules, event detection, and analytics to act fast; Teams can work together across roles and tools. Cons Students mention restrictions or difficulty accessing specific features or datasets within the platform; Interface inconsistencies: While generally intuitive, some parts of the UI feel less polished or require more clicks than necessary. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AS ANDREEA S. CONSULTANT Government Administration ### "SAS Viya Review- HEALTHCARE" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 September 1, 2025 For a beginner in healthcare analytics, SAS Viya provides a solid foundation with the security and compliance features needed in medical environments. While there's definitely a learning curve, especially with medical data complexity, the platform offers the depth needed for both current clinical reporting and future healthcare analytics initiatives. Pros As a beginner to SAS products, I've been using SAS Viya primarily for data analysis and reporting over the past year. Coming from Excel experience, I was looking for a comprehensive platform that could handle both basic analytics and more advanced reporting needs. Ease of Use and User Interface The modern, web-based interface is intuitive and well-designed. As someone new to SAS, I appreciated the visual approach to building analyses and reports. The drag-and-drop functionality makes it accessible even for beginners, though there's still a learning curve for more advanced features. Data Management Capabilities SAS Viya handles data integration and preparation quite well. I was impressed by its ability to work with multiple data sources and formats. The data preparation tools are visual and help you understand what's happening to your data at each step. Report Generation Features The reporting capabilities are robust and flexible. I particularly liked interactive dashboards, automated report scheduling, visualization options. The ability to create both simple reports and more complex analytical outputs from the same platform is valuable. Cons Database Mapping Challenges I encountered significant difficulties with mapping data from hospital database systems and EHR platforms. The process required more manual configuration than expected, particularly when dealing with complex medical database schemas and standardizing different data formats from various clinical systems. Information Schema Catalog & Asset Discovery While SAS Viya has asset discovery capabilities, I would have liked more advanced features specifically for healthcare data cataloging. The Discover Assets functionality could better handle medical data taxonomy and clinical terminologies (ICD-10, SNOMED, etc.). For medical reporting, having better automated discovery of clinical data relationships would be invaluable. Medical Data Complexity The learning curve was steeper when working with complex medical datasets that include protected health information (PHI). Better guidance for healthcare-specific data governance and mapping clinical data hierarchies would be helpful for medical professionals new to analytics platforms. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AG Anuj G. Lead Statistical Programmer Hospital & Health Care ### "Feedback\_SAS Viya" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 August 26, 2025 Overall good to combination of AI and ML with high performance engine, support for both visual and programming-based analysis. Pros Advanced Data Visualization techniques and analysis activities. Additionally, open-source tools access like Python and R. Cons Cost of licenses and limited for web activities. Also, dependence with the speed of internet and concurrent users. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AO Audifax O. Compliance Banking ### "Support is poor " 2.0 Overall Rating 2.0 2.0 Ease of Use 3.0 3.0 Features 3.0 3.0 Customer Service 1.0 1.0 Likelihood to Recommend 0/10 August 25, 2025 If i have my way, i will reverse the contract and opt for another tool. Your solution might be the best in the world, but your implementation and customer support approach is nothing to write home about. Pros Nothing. I have been implementing SAS for the past 3 years with no end in sight. The level of bureaucracy is annoying. Sales and customer management is poor. Cons Account management is terrible. Billing me for license while implementation is ongoing is very unethical. Pulling out your implementation team from site as a result of purported licence expiry in the middle of a project indicates lack of coordination. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Pushpender K. SAS VA Developer Information Technology and Services ### "SAS Viya Review" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 August 21, 2025 Pros SAS Viya’s biggest strength is its flexibility and scalability. I like that it brings advanced analytics, AI, and machine learning together on a single cloud-native platform, making it easy to handle both small-scale and enterprise-level workloads. The integration with multiple programming languages (Python, R, SQL, SAS) is very powerful, allowing collaboration across different skill sets in the team. Its intuitive visual interface in SAS Visual Analytics also makes it simple for business users to explore data and generate insights without needing deep technical expertise. Overall, the combination of performance, openness, and user-friendly resign is what I value most Cons The learning curve can be a bit steep for new users, especially those without prior SAS experience. While the platform is very powerful, some advanced configurations and administrative tasks require technical expertise. In addition, the cost of licensing can be on the higher side compared to some open-source alternatives. At times, performance may depend heavily on cloud infrastructure setup, which means careful planning is needed to optimize resources. Overall, these challenges are relatively minor when weighed against the benefits, but they are worth noting. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AN Anonymous User Programme Manager Government Administration ### "SAS Viya review" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 August 20, 2025 We were well supported by local and global SAS support team. The SAS support team is very helpful and friendly. Pros Very powerful data processing to process millions of lines of data, professional support from local SAS staff Cons lack of skilful professionals available in the market. SAS Viya training became a real challenge for the team. Switched from [Excel Analyzer](https://www.capterra.com/p/170910/ExcelAnalyzer/) We need to process big data for analysis Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Sai Bharath M. risk analyst Financial Services ### "SAS Viya: Analyst review" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 August 19, 2025 A great enterprise-grade platform that streamlines the ML lifecycle from data prep to production. Once past the learning curve, it’s fast, reliable, and well-suited to regulated environments. Pros Unified analytics/ML platform with strong governance, ModelOps, and easy deployment. Great performance at scale; solid integration with Python/R and visual pipelines. Cons Steep learning curve and some UI quirks. Licensing/cost can be high for smaller teams. Migration from legacy SAS/other stacks can be complex and time-consuming. Switched from [SAS Enterprise Guide](https://www.capterra.com/p/253110/SAS-Enterprise-Guide/) Business decision to switch to integrate other sas apps Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. EP Elena P. Principal Management Consulting ### "Tool di analisi dati con integrazione semplice " 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 October 9, 2023 Ho usato SAS Viya in vari progetto, convincendo inoltre molte aziende clienti ad adottarlo per l’analisi dei big data. Il suo processo di integrazione con i sistemi aziendali e semplice, come il sistema di installazione ed i benefici che ne derivano dall’uso di un software di analisi così potente sono molti. In un progetto un particolare con SAS Viya ho sviluppato un tool in grado di rilevare frodi. Il modulo usato SAS Visual Investigator e SAS Visual Text Analytics, con quest’ultimo che effetto l’estrazione di testo dei documenti. Pros Il migliore aspetto di SAS Viya è che si configura come un ambiente di sviluppo integrato in cui è possibile utilizzare tantissimi strumenti per definire il flusso di dati delle proprie analisi. Essendo una piattaforma cloud è facile integrare soluzioni diverse nel rispetto delle esigenze aziendali. Le attività, Inoltre, sono semplici da eseguire in quanto è sufficiente identificare i pulsanti che permettono di effettuare determinare tipo di operazioni evitando di utilizzare codici complessi. Cons La caratteristica che meno mi soddisfa di SAS Viya è la sua limitata capacità di personalizzazione. A seconda del problema o delle esigenze aziendali, alcuni strumenti analitici potrebbero non avere le proprietà di personalizzazione necessarie con impostazioni standard che non rispettano sempre le esigenze. Inoltre, alcuni errori e bug sono difficili da risolvere perché la documentazione non li copre e i log/messaggi di errore non forniscono informazioni sufficientemente chiare. Alternatives considered [Vertex AI](https://www.capterra.com/p/233122/Vertex-AI/) [Microsoft Azure](https://www.capterra.com/p/16365/Azure/) [IBM SPSS Statistics](https://www.capterra.com/p/250819/IBM-SPSS-Statistics/) Reasons for choosing SAS Viya SAS Viya, nonostante abbia un prezzo meno competitivo, offre possibilità d’analisi avanzate, semplificate senza l’uso di codice, che non offrono le altre piattaforme. Inoltre, nella mia esperienza ho notato che i software SAS sono semplici da integrare e da installare. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. PD Pietro D. Data Scientist Human Resources ### "Il machine learning semplice " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 September 19, 2023 Semplifica lo sviluppo di modelli di ML. Utilizzando SAS Viya non mi devo più preoccupare di scrivere codice per il ML, ma posso concentrarmi su quale modello utilizzate, come gestire la fase di elaborazione e come ottimizzare il modello. Mi concentro maggiormente sul problema principale e non sul codice, grazie alle funzioni di trascinamento, e risparmio molto tempo sviluppando modelli migliori. Pros Mi piacciono diverse cose di SAS Viya:1. È uno strumento che non richiede competenze pregresse di coding: con il trascinamento si può fare di tutto 2. Accelera il processe di costruzione del modello. E’ sufficiente trovare le corrette funzioni statistiche per inserirle trascinandole nella work area e aggiungerle al modello3. C’è il supporto per gli ipynb notebook, per chi preferisce scrivere in Python per il machine learning 4. Può essere usato per costruire cruscotti di business intelligence e creare reportistica5. Supporta il calcolo parallelo quindi risulta molto veloce Cons Non ho riscontrato svantaggi nell'utilizzo di SAS Viya, ma apprezzerei se i costi di questo software fossero accessibili per un pubblico più vasto. Molte aziende faticano a sostenere i costi della licenza e si spostano verso opzione open source. Switched from [SAS Enterprise Guide](https://www.capterra.com/p/253110/SAS-Enterprise-Guide/) La necessità di sviluppare modelli di machine learning complessi ha fatto che si che ci spostassimo verso SAS Viya, sicuramente più indicato e performante per questo scopo Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. DB Donata B. Biostatistician Medical Practice ### "Utile strumento in campo Biostatistico" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 3.0 3.0 Customer Service 0.0 0.0 Likelihood to Recommend 7/10 September 10, 2023 Utilizzo principalmente SAS Viya per analizzare i dati degli studi clinici condotti in ambito farmaceutico. L'uso delle macro SAS mi ha permesso di produrre molto di più in meno tempo, migliorando la mia capacità di individuare elementi importati negli studi, che potrebbero portare a cambiare il prodotto testato oppure a definire il successo. capacitò di rispondere alle domande della ricerca emergenti e contribuire Pros SAS Viya è uno strumento molto utilizzato nella biostatistica. Offre molte funzioni utili, che ben si adattano alle esigenze di un biostatista e che ho trovato solo su questo tipo di software. Nell’ambito farmaceutico le sue funzioni avanzate di analisi di sopravvivenza e gli strumenti per la gestione di dati longitudinali mi hanno permesso di affrontare ricerche complesse con maggiore efficenza.Inoltre il modulo di machine learning è semplice da utilizzare Cons Alcune volte il software sembra ancora in fase di sviluppo, con frequenti crash durante l’utilizzo ed una lentezza generalizzata. I modelli di machine learning disponibili automaticamente sono troppo semplici.Per avere un esperienza migliore gradirei maggiore stabilità e un ampliamento delle funzionalità di machine learning, in particolare l'aggiunta di algoritmi più sofisticati. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. GB Gabriele B. Manager Management Consulting ### "Sas Viya, ottimo strumento per il machine learning " 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 3.0 3.0 Likelihood to Recommend 9/10 August 3, 2023 SAS Viya è stato da me utilizzato per creare modelli di machine learning in grado di prevedere, in base alla cronologia di acquisto passata di un cliente, la probabilità che lo stesso cliente acquisti un’altro specifico prodotto. I dati utilizzati per questi modelli provengono da diversi fonti e spesso necessitano di essere puliti prima di essere elaborati. SAS Viya è stato utile in tale processo grazie alle sua funzioni di data wrangling. I dati puliti sono inseriti in processo di AutoML che consente di definire un modello altamente performante. Tali modelli, una volta spostati in produzione, sono utilizzati a supporto dell’ufficio marketing, il quale andrà a fare campagne mirati su specifici clienti e specifici profitti con elevata probabilità di acquisto. Pros Le funzionalità, a mia avviso, più importanti di SAS Viya sono i molteplici strumenti di visualizzazione di dati e l’ampia gamma di algoritmi di machine learning disponibili. I primi consento un esplorazione significativa dei dati, con visualizzazioni chiare, in grafici o mappe di sintesi, che possono essere condivisi con altri team. I secondi, tra quali possiamo annoiare algoritmi con apprendimento supervisionato e non, generarono modelli predittivi accurati e robusti, i quali possono essere testati in vari scenari e migliorati nel tempo manipolando i metadati. SAS Viya ha inoltre il supporto al AutoMl, il machine learning automatizzato, che semplifica la costruzione dei modelli e consente all’utente di focalizzarsi sull’interpretazione dei risultati ed il miglioramento delle performance. Cons L’aspetto da migliorare di SAS Viya è il processo di passaggio di un modello da un ambiente di sviluppo ad uno di produzione. Il processo di deployment richiede una buona dose di lavoro manuale, non è ancora totalmente automatico e blocca un team di sviluppatori per diversi giorni, con un costo non indifferente per l’azienda. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. LF Loredana F. Analyst Management Consulting ### "Grandi volumi di dati ed intelligenza artificiale " 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 June 21, 2023 Ho utilizzato Sas Viya presso società clienti di notevoli dimensioni che avevano la necessità di sviluppare modelli predittivo da grandi moli di dati non struttutati. L'uso di Sas viya ha consentito di mantenere il processo di stima all'interno di un unica piattaforma e di sfruttare la potenza degli algoritmi di macchine leasing per trovare una correlazione tra la variabile target, dal predire, ed alcune delle informazioni non strutturate disponibili. Il macchine lerning, inoltre, in particolare le support vector machine sono state utili per ottenere modelli con elevati livelli di accuratezza. Pros Sas Viya è un software di analisi dei dati, particolarmente adatto ad aziende che hanno necessità di elaborarne grandi volumi, che integra intelligenza artificiale e algoritmi di apprendimento automatico. Il software include un ambiente di data wrangling (Sas Data Preparation) e consente, anche, di eseguire analisi statistiche classiche (come anova, regressioni). È possibile utilizzare Sas Viya anche pee visualizzare i dati in grafici interattivi e dashboard persobalizzate, facilmente condivisibili. Notevole la capacità di sviluppare modelli preditfivi ed apprezzabile la possibilità, per gli utenti meno esperti di ytikizzare un interfaccia guidata e modelli di analisi predefiniti. Cons Sas Viya potrebbe migliorare nel processo di integrazione con soluzioni di terze parti, poche volte possibile e sempre di complessa configurazione e nella personalizzazione delle analisi visive. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox.