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Azure Data Factory vs SAS Viya Platform comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
5.3
Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.
Sentiment score
3.8
SAS Viya Platform boosts efficiency and cuts costs with AI, automation, and cloud solutions, enhancing speed and revenue generation.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
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.
Director, Lead, Ri Technical Solutions at a insurance company with 10,001+ employees
We generate revenue from the data visualization options, which is a very important key aspect for return of investment.
Biostatistician at Lambda Therapeutic Research Ltd.
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.
Computer Instructor/ Trainer at University of Calgary/ MCG College
 

Customer Service

Sentiment score
6.2
Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.
Sentiment score
4.8
SAS Viya's customer service is praised for responsiveness and effectiveness, with strong AI capabilities and flexible integration options.
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
The technical support from Microsoft is rated an eight out of ten.
Chief Analytics Officer at Idiro Analytics
The technical support is responsive and helpful
Sr. Technical Architect at Hexaware Technologies Limited
I would rate customer support for SAS Viya Platform a 10 out of 10.
Biostatistician at Lambda Therapeutic Research Ltd.
we have received help whenever we have asked, and their response time is quite fast
Senior Data Analyst at a government with 201-500 employees
we got the solution on time
Technical Architect at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
7.3
Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.
Sentiment score
5.1
SAS Viya efficiently scales for large datasets and user demands, offering reliable cloud-based management across multiple projects.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
We have not had a problem, and it is because it is on the cloud, it scales quite well.
Director, Lead, Ri Technical Solutions at a insurance company with 10,001+ employees
SAS Viya Platform is quite scalable and can handle large data volumes.
Senior Data Analyst at a government with 201-500 employees
SAS Viya Platform's scalability is great; it can be scaled throughout the project, even company-wide.
Technical Architect at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.
Sentiment score
7.7
SAS Viya Platform is generally stable and reliable, offering consistent performance and robust outputs with minimal downtime issues.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
It gives me the accurate result.
Test Engineer at Happiest Minds Technologies
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
SAS Viya Platform is good, scalable, and stable.
Data & BI Architect at a outsourcing company with 5,001-10,000 employees
In my experience, SAS Viya Platform is stable and perfect.
Computer Instructor/ Trainer at University of Calgary/ MCG College
SAS Viya Platform's output has been very robust and accurate.
CIO / CTO / Head Of Data at Data Excellence
 

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.
SAS Viya Platform's complex navigation and features, high costs, and inadequate resources hinder new user adaptability and integration.
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity.
Test Engineer at Happiest Minds Technologies
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
Two main improvements would transform this into a great tool: improving the UI and calculation capabilities, and merging AI capabilities.
Data & BI Architect at a outsourcing company with 5,001-10,000 employees
The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives.
Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited
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.
Senior Data Analyst at a government with 201-500 employees
 

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.
Users find SAS Viya affordable with efficient pricing, though some external sources suggest it might be expensive.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
I did check with Reddit and they indicated that SAS Viya Platform is a pretty expensive program.
Computer Instructor/ Trainer at University of Calgary/ MCG College
My experience with pricing, setup cost, and licensing is very positive, as the pricing is good and efficient for my organization.
Biostatistician at Lambda Therapeutic Research Ltd.
My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth.
Director, Lead, Ri Technical Solutions at a insurance company with 10,001+ employees
 

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.
SAS Viya Platform simplifies data handling with AI, real-time processing, cloud-native features, and supports diverse programming for efficiency.
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Data Engineer at Vthinktechnologies
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
Director at a computer software company with 1,001-5,000 employees
SAS Viya Platform has improved the speed, scalability, and accessibility of data, leading to more efficient and informed decision-making.
Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited
SAS Viya Platform has positively impacted my organization by saving time compared to when we were using SAS 9.4.
SAS Developer at XpertDox
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.
Computer Instructor/ Trainer at University of Calgary/ MCG College
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
6th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Cloud Data Warehouse (6th)
SAS Viya Platform
Ranking in Data Integration
20th
Average Rating
7.8
Reviews Sentiment
4.8
Number of Reviews
12
Ranking in other categories
Data Quality (5th), Data Governance (12th), Data Management Platforms (DMP) (6th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.1% compared to the previous year. The mindshare of SAS Viya Platform is 0.5%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.2%
SAS Viya Platform0.5%
Other97.3%
Data Integration
 

Featured Reviews

Kunal Das - PeerSpot reviewer
Test Engineer at Happiest Minds Technologies
Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling
If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.
KK
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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915,341 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
Construction Company
20%
Comms Service Provider
14%
Manufacturing Company
12%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise10
Large Enterprise9
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
What is your experience regarding pricing and costs for SAS Viya Platform?
I am not much aware of the pricing, setup cost, and licensing of SAS Viya Platform because that was handled by the administrator. However, I do not think it is too costly to use. I never did a comp...
What needs improvement with SAS Viya Platform?
Regarding the features, I think what can be improved in SAS Viya Platform is the ease of use and discoverability of certain advanced features, as these capabilities can require additional training ...
What is your primary use case for SAS Viya Platform?
My main use case for SAS Viya Platform is for the customer analytics platform for text analysis. A specific example of how I use SAS Viya Platform for customer analytics and text analysis is that w...
 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
Information Not Available
Find out what your peers are saying about Azure Data Factory vs. SAS Viya Platform and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.