Azure Data Factory vs SAS Access comparison

Why PeerSpot?

Microsoft and SAS are both solutions in the Data Integration category. Microsoft is ranked #6 with an average rating of 8.0, while SAS is ranked #60. Microsoft holds a 2.2% mindshare in DI, compared to SAS’s 0.8% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of SAS users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

15,321 Views
10,725 Comparison Views

92% willing to recommend

SAS Access

Read 3 SAS Access reviews

2,605 Views
2,058 Comparison Views

100% willing to recommend

Azure Data Factory

SAS Access

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAS Access and Azure Data Factory compete in the data integration tools category. Based on their abilities in cloud environments, Azure Data Factory appears to have the upper hand due to its comprehensive cloud-based features.

Features: SAS Access provides strong data connectivity, compatibility with SAS technologies, and integration within SAS environments. Azure Data Factory offers extensive cloud service integration, automated workflows, and supports a range of data formats.

Ease of Deployment and Customer Service: SAS Access is supported by detailed deployment guidelines and robust technical support, particularly for on-premises systems. Azure Data Factory provides flexible deployment options with comprehensive online support resources and documentation, suiting cloud-native environments well.

Pricing and ROI: SAS Access may incur higher setup costs unless organizations already employ SAS systems, offering good ROI within SAS ecosystems. Azure Data Factory features a subscription-based pricing model, delivering cost-effectiveness and scalability, with high ROI for enterprises leveraging cloud technology.

To learn more, read our detailed Azure Data Factory vs. SAS Access Report (Updated: September 2026).

Buyer's Guide

Azure Data Factory vs. SAS Access

September 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

Azure Data Factory

Ranking in Data Integration

6th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (6th)

SAS Access

Ranking in Data Integration

60th

Average Rating

9.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Access is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
SAS Access	0.8%
Other	97.0%

Data Integration

Featured Reviews

Kunal Das

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.

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Robert Heck

Co Owner at Hecht und Heck GmbH

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.

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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

"Since I have mentioned that I can use the drag-and-drop activities, by using that, Azure Data Factory is saving a lot of time, my organization has already been saving the time and generating more income with that."

"Its integrability with the rest of the activities on Azure is most valuable."

"The most valuable feature is the copy activity."

"Azure Data Factory was not difficult to deploy because it is a small area, so we completed it very quickly."

"The scalability of the product is impressive."

"Microsoft's technical support is responsive and quick to help."

"It makes it easy to collect data from different sources."

"The platform excels in data transformation with its user-friendly interface and robust monitoring capabilities, making ETL processes seamless."

More Azure Data Factory pros

"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."

"The most valuable feature is you have native access to the external databases."

"The SAS/ACCESS ability to connect creates an elegant simplicity."

"The most valuable aspect of the solution is the ease of access to the data in those databases."

Cons

"It would be helpful if they could adjust the data capture feature so that when there are source-side changes ADF could automatically figure it out."

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"In the next release, it's important that some sort of scheduler for running tasks is added."

"The pricing scheme is very complex and difficult to understand."

"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."

More Azure Data Factory cons

"The pricing model needs to be reconsidered and adjusted."

"The solution's pricing and licensing are expensive."

"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 primary way that this product can be improved is by adjusting their pricing model."

"The solution can provide access to the newer databases that come out sooner."

Pricing and Cost Advice

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"Data Factory is expensive."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"Pricing appears to be reasonable in my opinion."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"Product is priced at the market standard."

More Azure Data Factory pricing and cost advice

"The solution's pricing and licensing are expensive."

"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

19%

Comms Service Provider

14%

Financial Services Firm

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

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.

See all answers

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...

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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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Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Informatica PowerCenter vs SAS Access

Compared 9% of the time

Toad Data Point vs SAS Access

Compared 8% of the time

Qlik Talend Cloud vs SAS Access

Compared 5% of the time

Upsolver vs SAS Access

Compared 5% of the time

SSIS vs SAS Access

Compared 5% of the time

More SAS Access Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

Data Integration

September 2026

Download SAS Access product report

Also Known As

No data available

SAS/Access

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

SAS Access connects users to data across platforms, enabling insights and analytics. It provides seamless access and integration for data processing and management, bridging the gap between extensive datasets and analytics capabilities.

SAS Access offers robust features that facilitate data access and integration, making it a preferred choice for organizations seeking to manage, manipulate, and analyze data spread across different storage systems. Users benefit from its ability to deliver comprehensive data access, enhancing efficiency and productivity. By reducing complexities in accessing distant or disparate data, SAS Access stands as a versatile tool for businesses that want to overcome data silos and drive analytics innovation.

What Are the Valuable Features of SAS Access?

Scalability: Efficient handling of large-scale data allows organizations to grow without data processing bottlenecks.
Compatibility: Offers compatibility with a wide range of data sources, including databases and third-party applications, facilitating seamless data integration.
Security: Ensures robust data security protocols to protect sensitive data and maintain compliance with industry standards.

What Benefits Should Be Considered in Reviews?

Improved Decision-Making: Access to diverse data sources bolsters decision-making with comprehensive insights.
Time Savings: Streamlined data access reduces time spent on data preparation, accelerating project timelines.
Cost Efficiency: Efficient data processing reduces infrastructure costs and optimizes resource usage.

In finance, SAS Access is used to streamline data reporting and analysis, providing essential insights for risk management. Retailers use it to merge customer data from disparate sources, enabling personalized marketing. Healthcare organizations utilize it to integrate patient data securely, improving care delivery and outcomes.

SAS

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

Buyer's Guide

Azure Data Factory vs. SAS Access

September 2026

Free Report: Azure Data Factory vs. SAS Access

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