SAS Viya Platform vs Teradata comparison

SAS and Teradata are both solutions in the Data Integration category. SAS is ranked #46 with an average rating of 8.0, while Teradata is ranked #13 with an average rating of 7.7. Additionally, 100% of SAS users are willing to recommend the solution, compared to 88% of Teradata users who would recommend it.

SAS Viya Platform

Read 2 SAS Viya Platform reviews

661 Views
185 Comparison Views

100% willing to recommend

Teradata

Read 83 Teradata reviews

11,786 Views
1,532 Comparison Views

88% willing to recommend

SAS Viya Platform

Teradata

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Executive SummaryUpdated on Jan 4, 2026

Teradata and SAS Viya Platform are competitors in advanced analytics and data management. Teradata has an edge in data processing capabilities, while SAS Viya is strong in analytics tool integration.

Features: Teradata includes high-performance, scalable data warehousing, supports extensive query optimizations, and offers parallel processing. SAS Viya offers integrated analytical functionalities, advanced analytics, and AI and machine learning capabilities.

Ease of Deployment and Customer Service: SAS Viya features a versatile deployment structure, supporting cloud and on-premises, with proactive customer support. Teradata supports flexible deployment options but focuses on large enterprise solutions with a setup that highlights deep technical expertise.

Pricing and ROI: Teradata has a higher setup cost due to enterprise-level infrastructure but delivers substantial ROI for large data volumes. SAS Viya offers a modular pricing structure, appealing to organizations prioritizing advanced analytics.

To learn more, read our detailed Data Integration Report (Updated: March 2026).

Buyer's Guide

Data Integration

March 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

SAS Viya Platform

Ranking in Data Integration

46th

Average Rating

8.0

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

Data Quality (21st), Data Governance (28th), Data Management Platforms (DMP) (8th)

Teradata

Ranking in Data Integration

13th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (16th), Relational Databases Tools (5th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (5th)

Featured Reviews

Khushal Jdai

Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited

Modern analytics has transformed large data into faster insights and streamlined reporting

There are some areas of improvement I would mention regarding SAS Viya Platform. New users may find it complex initially, as its learning curve can be steep. Understanding CAS and different components is very challenging for a new user. The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives. There are also some limitations in Visual Analytics. While it is easy to use, it could be more flexible compared to Power BI or Tableau. These are the main improvement areas where SAS Viya Platform should focus. I would add some additional pointers about needed improvements in SAS Viya Platform. Regarding customer support, it is good, but the response time for complex issues can sometimes be slower than expected. The documentation and learning resources are not very beginner-friendly, making it challenging for beginners to navigate. Regarding integration, it could be smoother with Databricks, Snowflake, and Power BI, but it is more complex than it should be. Since updates are automatic, users are sometimes not fully aware of changes or new features that are being updated, as compared to Power BI, which publishes updates on its website. SAS Viya Platform should work on these aspects.

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David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Using SAS Viya Platform, I saw approximately a thirty to forty percent reduction in data processing time due to CAS in-memory computing, and I also reduced manual reporting efforts by approximately forty to fifty percent through automation and self-service dashboards, which definitely saved resources for my organization."

"Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"The solution is speedy and doesn't require much of a DBA team, it's kind of baked right into the product."

"Teradata has positively impacted our organization by allowing our team to reduce from 27 people down to eight, consolidating our headcount, and helping the enterprise achieve a higher rate of internal return on financials."

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed."

"Teradata offers great features; it is fast, faster compared to the previous applications that I used, and the scalability is good."

"It's very mature from a technology perspective."

"It has massive parallel processing ability to do large amounts of concurrent querying."

More Teradata pros

Cons

"The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives."

"I would advise others looking into using SAS Viya Platform to go ahead if their budget allows."

"I would like to see an improved Knowledge Base on the web."

"The SQL Assistant is very basic. This tool can be improved for usability."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"I would like more security and speed."

"I truly believe that in five years, we will breach the effective limits of Teradata to perform in a multi-petabyte environment, i.e., without significant changes to its underlying architecture."

"It could use some more advanced analytics relating to structured and semi-structured data."

"Teradata's UI could be improved."

"The usability could be a bit better. It could be a bit more user-friendly."

More Teradata cons

Pricing and Cost Advice

Information not available

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"The solution requires a license."

"Teradata is currently making improvements in this area."

"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

"Teradata used to be expensive, but they have been lowering their prices."

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

Construction Company

39%

Healthcare Company

11%

Transportation Company

Insurance Company

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

What is your experience regarding pricing and costs for SAS Viya Platform?

My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth. I did not have any hiccups, and I do not have a say on the pricing.

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What needs improvement with SAS Viya Platform?

I cannot think of any improvements for SAS Viya Platform from the top of my head, although users might have suggestions. I would add that some users need more training in SAS and SAS Viya Platform....

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What is your primary use case for SAS Viya Platform?

My main use case for SAS Viya Platform is analytics on risk adjustment in the healthcare field. One of the specific examples of how I use SAS Viya Platform for risk adjustment analytics in healthca...

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Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

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Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

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Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

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Comparisons

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Compared 24% of the time

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Compared 16% of the time

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Compared 16% of the time

Palantir Foundry vs SAS Viya Platform

Compared 16% of the time

Microsoft Fabric vs SAS Viya Platform

Compared 12% of the time

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Snowflake vs Teradata

Compared 5% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 4% of the time

Oracle Exadata vs Teradata

Compared 4% of the time

IBM Db2 Database vs Teradata

Compared 3% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

Data Management Platforms (DMP)

March 2026

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Buyer's Guide

Teradata

March 2026

Download Teradata product report

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

Overview

SAS Viya Platform is an advanced data management and analytics tool designed to deliver powerful insights and foster collaboration across teams. It provides flexible and scalable solutions for data analysis, perfect for tech-savvy professionals seeking robust analytics capabilities.

SAS Viya Platform enhances data-driven decisions with its cloud-enabled analytics capabilities. By supporting open-source integration and visual data manipulation, it caters to a diverse range of analytical needs. Its innovative approach to machine learning and AI streamlines operations, helping companies achieve efficient data utilization strategies across departments. Offering robust technical support, it facilitates seamless implementation and rapid adoption, making it ideal for informed analytics exploration.

What are the key features of SAS Viya Platform?

Open Integration: Easily integrates with open-source tools, enhancing adaptability and flexibility.
Scalable Architecture: Designed for easy scalability to accommodate growing data needs.
Machine Learning Capabilities: Offers innovative machine learning tools for enhanced predictive analytics.
Visual Data Exploration: Provides intuitive visual interfaces for comprehensive data analysis.
Robust Security: Ensures data protection with advanced security measures.

What benefits or ROI should users look for in reviews?

Enhanced Efficiency: Increases operational efficiency with streamlined data processes and workflows.
Cost-Effective Scalability: Lowers costs by offering flexible and scalable solutions.
Comprehensive Support: Offers extensive technical support for smooth adoption and use.
Improved Decision-Making: Provides deep insights that inform strategic decisions.
Data-Driven Innovation: Encourages innovative approaches in analytics through powerful tools.

SAS Viya Platform is widely adopted across industries like banking, healthcare, and retail, offering tailored analytics solutions to address industry-specific challenges. In healthcare, for instance, it streamlines patient data insights, while in banking, it optimizes fraud detection processes. In retail, it enhances customer experience analytics, demonstrating its versatile application.

SAS

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata

Sample Customers

Information Not Available

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