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Azure Data Factory vs SAS Access comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (3rd)
SAS Access
Ranking in Data Integration
56th
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Integration category, the mindshare of Azure Data Factory is 8.9%, down from 12.5% compared to the previous year. The mindshare of SAS Access is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Robert Heck - PeerSpot reviewer
The solution is stable, scalable, and flexible
I rate the solution eight out of ten. The number of people required to maintain the solution is dependent on the other applications running. The solution in itself does not require a lot of maintenance. The solution is flexible and I recommend it when you have more complex applications with special requirements.

Quotes from Members

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

Pros

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS"
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."
"The best part of this product is the extraction, transformation, and load."
"I like the basic features like the data-based pipelines."
"The solution has a good interface and the integration with GitHub is very useful."
"The most valuable feature is you have native access to the external databases."
"The most valuable aspect of the solution is the ease of access to the data in those databases."
"The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment."
 

Cons

"Data Factory's monitorability could be better."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"Some of the optimization techniques are not scalable."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"The pricing model needs to be reconsidered and adjusted."
"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."
"The solution can provide access to the newer databases that come out sooner."
 

Pricing and Cost Advice

"Product is priced at the market standard."
"Pricing appears to be reasonable in my opinion."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"The licensing cost is included in the Synapse."
"The price is fair."
"Understanding the pricing model for Data Factory is quite complex."
"Data Factory is expensive."
"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
"The solution's pricing and licensing are expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
9%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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...
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Also Known As

No data available
SAS/Access
 

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
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Find out what your peers are saying about Azure Data Factory vs. SAS Access and other solutions. Updated: April 2025.
850,236 professionals have used our research since 2012.