

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Reliable data plus less human intervention and less error result in a strong return on investment.
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.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
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
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.
SAS Viya Platform is good, scalable, and stable.
In my experience, SAS Viya Platform is stable and perfect.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
SAS Data Management can be improved in terms of the learning curve.
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.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform.
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.
| Product | Mindshare (%) |
|---|---|
| SAS Data Management | 1.2% |
| SAS Viya Platform | 0.4% |
| Other | 98.4% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 9 |
| Large Enterprise | 7 |
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
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.
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