# SAS Viya Reviews **Vendor:** SAS Institute Inc. **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 4.3/5.0 **Total Reviews:** 797 ## About SAS Viya SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. ## SAS Viya Pros & Cons **What users like:** - Users appreciate the **user-friendly interface** of SAS Viya, making data analysis accessible to all skill levels. (316 reviews) - Users value the **robust analytics capabilities** of SAS Viya, enabling effective decision-making across various industries. (218 reviews) - Users appreciate the **advanced analytics capabilities** of SAS Viya, enhancing decision-making and providing critical business insights. (196 reviews) - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing business insights and predictive analysis capabilities. (166 reviews) - Users appreciate the **user-friendly interface** of SAS Viya, which simplifies analytics for various technical skill levels. (147 reviews) - Intuitive (145 reviews) - Efficiency (143 reviews) - Data Visualization (138 reviews) - Insights (129 reviews) - Users value the **high performance efficiency** of SAS Viya, noting its speed and effectiveness in handling large data sets. (127 reviews) **What users dislike:** - Users find SAS Viya **difficult for non-technical users** , struggling with navigation and overall user-friendliness. (151 reviews) - Users find the **learning curve steep** , making it challenging for non-technical users to navigate and utilize SAS Viya effectively. (144 reviews) - Users find the **visualization complexity** of SAS Viya challenging, especially for non-technical users and newcomers. (143 reviews) - Users find the **difficult learning curve** of SAS Viya challenging, especially for new and non-technical users. (117 reviews) - Users find the **expensive pricing** of SAS Viya to be a significant drawback, affecting initial engagement decisions. (108 reviews) - Users find SAS Viya to be **not user-friendly** , especially for non-technical users accessing reports and dashboards. (103 reviews) - Steep Learning Curve (96 reviews) - Complex Implementation (60 reviews) - Complex Usage (60 reviews) - User Difficulty (57 reviews) ## SAS Viya Reviews ### 1. Powerful & Transforming Data into Decisions—Effortlessly and Intelligently. **Rating:** 4.5/5.0 stars **Reviewed by:** Venkatesh D. | SAS Administrator, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2026 **What do you like best about SAS Viya?** What I like best about SAS Viya is its powerful combination of advanced analytics and user-friendly interface. It allows both technical and non-technical users to work efficiently with data through its intuitive, cloud-based platform. The ability to handle large datasets quickly, along with built-in machine learning and AI capabilities, has significantly improved our decision-making process. I also appreciate the seamless integration with other tools and the flexibility it offers for customizing workflows. Overall, SAS Viya has made complex data analysis faster, more accessible, and more collaborative across teams. **What do you dislike about SAS Viya?** One downside of SAS Viya is that it can have a steep learning curve for new users, especially those without a strong analytics background. Additionally, the cost can be relatively high compared to other tools, and some advanced features require extra configuration, which can slow down initial setup. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya is solving the challenge of handling large, complex datasets and turning them into actionable insights quickly. Before using it, we struggled with slow processing and fragmented tools, but now we can perform advanced analytics, forecasting, and reporting in one unified platform. This has improved our decision-making speed, reduced manual effort, and increased overall efficiency across teams. ### 2. SAS Viya is a Powerful Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Deependra G. | Customer Support Engineer L2, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2025 **What do you like best about SAS Viya?** I use SAS Viya for reporting tool data management, report generation, and fetching data fast. I appreciate that statistical modeling and reporting are combined into one platform, making it a unified analytics platform. The cloud-based architecture and scalability make SAS Viya my first choice for software. It eliminates the need for multiple tools and improves workflow efficiency, allowing users to move seamlessly from raw data to insights without switching systems. The platform delivers powerful analytics capabilities, strong performance, and excellent scalability for handling complex data workloads. Although the installation is a bit complex, the support team from SAS is fantastic and makes the process easy and smooth, making it feel like we're using premium software. **What do you dislike about SAS Viya?** The software can be expensive compared to open source analytics tools, making it less accessible for small businesses or startups with limited budgets. Complex installation and maintenance. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya simplifies data management and integration, ensuring accuracy with real-time data. It streamlines reporting and analytics tasks, eliminating tool-switching to improve workflow efficiency. ### 3. A Powerful and Modern Platform for Advanced Analytics and Teaching **Rating:** 4.5/5.0 stars **Reviewed by:** Amir B. | Statistical Consultant and Graduate Instructor, Ontario Agricultural College, University of Guelph, Enterprise (> 1000 emp.) **Reviewed Date:** February 25, 2026 **What do you like best about SAS Viya?** What I like best about SAS Viya is how it combines the strength and reliability of traditional SAS with a modern, flexible environment. I appreciate the cloud-based structure, which makes it easier to access projects from different locations, and the integration of visual analytics with coding in SAS and Python. The interface is clean and intuitive, but still powerful enough for advanced modeling, including mixed models and large datasets. It feels scalable, efficient, and well-suited for both teaching and research environments. **What do you dislike about SAS Viya?** While SAS Viya is powerful, the transition from traditional SAS 9.4 can sometimes feel challenging, especially when certain procedures or workflows do not behave exactly the same way. Some advanced features require additional configuration or licensing, which can limit access depending on the setup. In addition, for new users, the interface and ecosystem can feel a bit overwhelming at first, particularly when navigating between different applications (e.g., Visual Analytics, Model Studio, programming). A smoother learning curve and clearer guidance for users migrating from earlier SAS versions would be helpful. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps solve the challenge of analyzing large, complex datasets efficiently while maintaining reproducibility and transparency. It provides scalable computing power, which is especially valuable when working with mixed models, high-dimensional data, or collaborative research projects. The integration of visual tools with programming also streamlines the workflow from data management to modeling and reporting. For me, this improves efficiency in both research and teaching, allowing me to demonstrate advanced methods clearly while handling real-world datasets more effectively. ### 4. Insightful AML Tool with Seamless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Curtis C. | Freelance Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** May 04, 2026 **What do you like best about SAS Viya?** I find SAS Viya clean and simple to understand. I like how it allows us to integrate the SAS AML features, making it possible to provide seamless, agent-accessible data representing customers' banking details. The integration is valuable because it brings rules, advanced analytics, and case management together on a single cloud-native platform, allowing organizations to detect financial crime more accurately and efficiently while being regulator ready. **What do you dislike about SAS Viya?** Navigating clients and all their sub-categories can get a little busy. Also, the initial setup is a bit intricate and can be harder for those who are not technically inclined. A better menu presentation or a menu that provides options on what I would like to see could improve the navigation. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya provides deeper insights into AML data and client transactions, with a dashboard for visual representation. Integrating SAS AML features allows seamless access to customer banking details on a cloud-native platform, improving financial crime detection and regulatory readiness. ### 5. Versatile Analytics Tool with a Few Scalability Concerns **Rating:** 3.5/5.0 stars **Reviewed by:** SAURABH R. | Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2025 **What do you like best about SAS Viya?** I like SAS Viya's low code, no code interface because it allows people who don't know how to code to pretty much do everything. You can create dashboards, models from scratch, and data pipelines. It gives you the option to either code or use drag and drop. As a non-tech person, you can do almost anything you want on SAS Viya without ever writing code. That's something very unique. **What do you dislike about SAS Viya?** In my experience, when we tried to create reports which are quite extensive on SAS Viya, they tend to slow down a bit and get laggy, making me feel they're not that scalable. If the data keeps increasing, it might not scale as much as we want it to. I also have a complaint with SAS Intelligent Planning; the user interface is quite outdated and configuring it is complicated. The learning curve is quite steep, especially in today's age where tools are expected to be intuitive and easy to adapt. Additionally, installing SAS Viya can be complicated, with potential issues during installation and configuration. **What problems is SAS Viya solving and how is that benefiting you?** I use SAS Viya for creating data pipelines, dashboards, and predictive models. It provides end-to-end data capabilities and offers a low code, no code interface, empowering non-tech people to build models and reports without writing code. ### 6. Powerful, User-Friendly Analytics with an Intuitive Drag-and-Drop Interface **Rating:** 4.5/5.0 stars **Reviewed by:** Afifa J. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** April 29, 2026 **What do you like best about SAS Viya?** SAS Viya is a powerful yet user-friendly analytics platform that I genuinely enjoy working with. Its intuitive drag-and-drop interface makes building and running models straightforward, even without heavy coding knowledge. **What do you dislike about SAS Viya?** One drawback of SAS Viya is that the font size can be extremely small, making it difficult to read and navigate the interface comfortably. The platform can also feel overwhelming at first due to the sheer number of features and options available, which can be challenging for new users to get used to. Additionally, it can be slow to load at times, which interrupts the workflow when working on larger projects. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya has been really beneficial in simplifying complex data tasks. It helps me easily visualise data through clear charts and graphs, making patterns and trends much easier to identify. It has also made data analysis more straightforward and efficient, allowing me to draw meaningful insights quickly. ### 7. Fast Data Analysis, but Clunky Interface **Rating:** 4.0/5.0 stars **Reviewed by:** Shihab S. | Engineering Trainer, Mechanical or Industrial Engineering, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2026 **What do you like best about SAS Viya?** I like that SAS Viya was able to really analyze thousands and thousands of data in a very short time, which I think is pretty useful because I would like to work with governments and bigger organizations that have huge amounts of data. SAS Viya was able to analyze them very quickly and at a very reasonable time. It's really important that we're able to take in that data and analyze it because other software isn't as fast. They struggle with large amounts of data, but SAS Viya was able to analyze those data in a very short time. **What do you dislike about SAS Viya?** I felt like the SAS Viya interface was not very user-friendly in terms of finding files. It's very clunky compared to industry standards like Google products. It was difficult to locate folders and files, and we needed multiple training sessions just for the basics, which should be easily accessible for tech people. Also, the initial setup felt daunting and required watching multiple videos. As someone tech-savvy, I find this not very user-friendly. It scared me away initially, and I might not have returned if not for work obligations. There is a bit of an initial learning curve, making it a bit difficult to get started. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps analyze huge volumes of health data quickly, identifying crucial age groups needing support. It processes large datasets faster than other software, saving time. ### 8. Powerful, Cloud-Based Analytics Platform with Scalable ML and Visualization **Rating:** 4.0/5.0 stars **Reviewed by:** John M. | Medical, Enterprise (> 1000 emp.) **Reviewed Date:** February 06, 2026 **What do you like best about SAS Viya?** What I like best about SAS Viya is that it combines powerful data analytics, machine learning, and visualization into one modern, cloud-based platform. It allows users to process large datasets quickly using scalable computing while supporting multiple programming languages like SAS, Python, and R, which makes collaboration easier across teams. I also like that it integrates the entire analytics workflow from data preparation to model deployment and monitoring into a single system, helping organizations work more efficiently while maintaining strong data governance and security. **What do you dislike about SAS Viya?** One potential downside of SAS Viya is that it can have a steep learning curve, especially for users who are new to SAS or enterprise analytics platforms. The cost of licensing and implementation can also be high compared with some open-source alternatives, which may limit accessibility for smaller organizations. Additionally, while Viya supports multiple programming languages, some advanced customization can still feel more seamless within the SAS ecosystem, which may reduce flexibility for teams that primarily work in open-source environments. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya solves the challenge of managing and analyzing large, complex datasets efficiently while streamlining the entire analytics workflow in one platform. It helps by reducing the need to switch between multiple tools for data preparation, modeling, and deployment, which improves productivity and collaboration across teams. The platform’s scalable, cloud-based computing allows analyses to run faster and handle larger datasets, leading to quicker insights and better decision-making. For my medical projects, I needed quick and reliable statistical analyses, and SAS consistently provided accurate, reproducible results. Additionally, its built-in governance and model monitoring help ensure reliability, transparency, and compliance, which supports consistent and trustworthy outcomes. ### 9. Powerful Analytics Platform for Enterprise Risk and Financial Modeling **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** April 23, 2026 **What do you like best about SAS Viya?** SAS Viya offers a robust and modern platform for advanced analytics and modeling. The interface is clean and relatively intuitive, especially for users familiar with analytics tools, although its proprietary programming language involves a learning curve. I also appreciate that SAS Viya can connect with multiple data sources and platforms, making it highly flexible for enterprise environments and compatible with existing data ecosystems. Regarding performance, the platform is highly efficient, comparable to leading providers, particularly when handling millions of records. Its cloud-based architecture enables scalability and faster processing compared to traditional SAS 9. Although it is an expensive product, it provides reliable support, especially for regulated organizations. Finally, SAS Viya stands out for its strong machine learning and AI capabilities. It also offers specialized products for predictive modeling, risk modeling, and both batch and real-time scoring. Overall, SAS Viya is a comprehensive and powerful platform, well-suited for large organizations. **What do you dislike about SAS Viya?** One of the main drawbacks is its high cost, which makes it less accessible for small organizations. In our case, it is only used at the group´s headquarters due to budget constraints. I also find that the training and certification courses are still quite expensive. Making them more accessible would help promote the development of skilled professionals. Additionally, some essential features, such as connectors to other databases, are offered as add-ons that require additional licensing costs, which increases the overall investment. Finally, I find the CASL language challenging, as it has a steeper learning curve compared to the traditional macro-based SAS language. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya helps centralize financial calculations and risk indicators required by regulators into a single platform. Previously, these processes were handled using multiple tools, which made them more complex and less efficient. It also significantly improves time-to-production, as everything is integrated within the same platform. This reduces deployment times and streamlines the overall workflow. ### 10. SAS Viya: Cloud-Native, High-Performance Analytics with Flexible Language Support **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin M. | Biostatistician, Enterprise (> 1000 emp.) **Reviewed Date:** February 05, 2026 **What do you like best about SAS Viya?** What I like most about SAS Viya is its cloud-native architecture and strong performance. It enables faster data processing through in-memory analytics, supports Python, R, and SQL alongside SAS, and offers convenient access via a web-based interface. Overall, these capabilities make analytics more scalable, collaborative, and flexible than in traditional SAS environments. **What do you dislike about SAS Viya?** What I dislike about SAS Viya is its steeper learning curve, particularly for users who are new to cloud environments. Migrating from SAS 9 can be complex, and the administration and licensing costs can be high. In addition, some traditional SAS features behave differently in Viya, which may require adaptation, retraining, and extra time to adjust. **What problems is SAS Viya solving and how is that benefiting you?** SAS Viya addresses common challenges in traditional analytics platforms, such as scalability limits, slow processing, and restricted integration options. It enables faster in-memory analytics, supports large and complex datasets, and integrates smoothly with Python, R, and cloud environments. For me, this translates into shorter run times, better collaboration, and a more efficient way to work on modern analytics tasks, including clinical and biostatistical workflows. ## SAS Viya Discussions - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 1 comment - [View SAS Viya pricing details and edition comparison](https://www.g2.com/products/sas-sas-viya/reviews/sas-viya-review-12822771?section=pricing&secure%5Bexpires_at%5D=2026-05-16+12%3A35%3A47+-0500&secure%5Bsession_id%5D=b3d0af5f-29bb-48e3-a900-0ea81b46ae1b&secure%5Btoken%5D=b934129a5ca3ead05f33c5a202f337db40da0181586dd938321206e235b2fbf7&format=llm_user) ## SAS Viya Integrations - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [Base SAS](https://www.g2.com/products/base-sas/reviews) - [Cloudera Data Platform](https://www.g2.com/products/cloudera-cloudera-data-platform/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 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[SAS/ACCESS Interface to Impala](https://www.g2.com/products/sas-access-interface-to-impala/reviews) - [SAS Data Integration Server](https://www.g2.com/products/sas-data-integration-server/reviews) - [SAS Enterprise Guide](https://www.g2.com/products/sas-enterprise-guide/reviews) - [SAS Studio](https://www.g2.com/products/sas-studio/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [VMware Greenplum](https://www.g2.com/products/vmware-greenplum/reviews) ## SAS Viya Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Administration** - Quality Control - Data Sampling - Collaboration **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Financial Planning** - Extended Planning - Reporting - Integration **Management** - Data dictionary - Data Replication - Query Language - Data Modeling - Performance Analysis **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Integration** - Data - Applications **Setup** - Integration - Maintenance - No-Code **Integration - Machine Learning** - Integration **Agentic AI - Accounting & Finance** - Autonomous Task Execution **Agentic AI - FP&A (Financial Planning & Analysis) ** - Proactive Assistance - Decision Making **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Financial Insight** - Budgeting - Forecasting - Planning **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Analytics** - Reporting & Analytics **Compliance** - Sensitive Data Compliance - Policy Enforcement - Compliance Monitoring **Capabilities** - Data Visualization - Survival Analysis - Risk Data Attributes - Cost Analysis **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Maintenance** - Data Migration - Backup and Recovery - Multi-User Environment **Security** - Access Control - Roles Management **Operations** - Metrics - Infrastructure management - Collaboration **Business Logic** - Authoring Business Logic - Testing Business Logic - Model Development **Data** - Security - Data Visualization **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Data Analysis** - Analysis - Data Interaction **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Data** - Data Visualization - Data Analysis - Custom Reporting - Reporting Templates **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Data Quality** - Data Preparation - Data Distribution - Data Unification **Methodology** - ANOVA Support - Regression - Time Series Analysis **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Security** - Data Encryption - User Access Control **Maintainence** - Data Quality Management **Management** - Cataloging - Monitoring - Governing **Management** - Catalog - Collaboration **Analysis** - Automation - Named entity recognition - Keyphrase Extraction - Topic Analysis - Sentiment Analysis - Language Identification - Syntax/Part of Speech Parsing **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Status Communication** - Collaboration - Version Control - Real-Time Data Updates - Scorecards **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Analytics** - Impact analysis - Simulation **Customization** - Pre-Built Parameterization - Custom Extension - Compositionality **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Management** - Reporting - Automation - Quality Audits - Dashboard **Deployment** - Application Development - Integration **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Generative AI** - AI Text Generation - AI Text Summarization **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Agentic AI - Decision Management Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top SAS Viya Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (744 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (686 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (651 reviews)