

Teradata and SAS Viya Platform are competing products in the advanced analytics solutions category. Teradata is preferred for cost-conscious buyers due to its advantageous pricing and support, while SAS Viya Platform is favored for its comprehensive feature set.
Features: Teradata offers scalability, integration capabilities, and robust data warehousing. SAS Viya Platform includes advanced AI tools, open-source integration, and superior analytical capabilities, creating a sophisticated analytics environment.
Ease of Deployment and Customer Service: SAS Viya Platform's cloud-native architecture offers flexible deployment but may present configuration challenges. Teradata is moving towards cloud solutions and is known for reliable customer support.
Pricing and ROI: Teradata has competitive pricing and a high return on investment, attractive for budget-conscious organizations. SAS Viya Platform may have higher initial setup costs but offers potential for greater ROI in complex analytical scenarios.
I have seen a return on investment with SAS Viya Platform in the form of money saved, as this is scalable and on the cloud, whereas previously we had to pay for space and on-premises servers.
We generate revenue from the data visualization options, which is a very important key aspect for return of investment.
The relevant metrics definitely show time saved because it is able to crunch 50 to 60,000 rows of numbers in a matter of five to ten minutes, which is a huge improvement.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
I would rate customer support for SAS Viya Platform a 10 out of 10.
we have received help whenever we have asked, and their response time is quite fast
we got the solution on time
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
We have not had a problem, and it is because it is on the cloud, it scales quite well.
SAS Viya Platform is quite scalable and can handle large data volumes.
SAS Viya Platform's scalability is great; it can be scaled throughout the project, even company-wide.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
SAS Viya Platform is good, scalable, and stable.
In my experience, SAS Viya Platform is stable and perfect.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
Two main improvements would transform this into a great tool: improving the UI and calculation capabilities, and merging AI capabilities.
The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives.
In comparison, other packages I have used are more complete and less divided; SAS is quite divided, particularly with quality control, which used to be included, but now requires separate packages for control charts and so on.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
I did check with Reddit and they indicated that SAS Viya Platform is a pretty expensive program.
My experience with pricing, setup cost, and licensing is very positive, as the pricing is good and efficient for my organization.
My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
SAS Viya Platform has improved the speed, scalability, and accessibility of data, leading to more efficient and informed decision-making.
SAS Viya Platform has positively impacted my organization by saving time compared to when we were using SAS 9.4.
The speed and documentation of SAS Viya Platform helped me in my coursework because we were having very intense analyses done and we needed to submit a lot of assignments and analyses as quickly as possible.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
| Product | Mindshare (%) |
|---|---|
| Teradata | 1.1% |
| SAS Viya Platform | 0.4% |
| Other | 98.5% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 9 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 53 |
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?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.
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?
What benefits and ROI do users look for?
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.
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