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Azure Data Factory vs SAS Data Management comparison

Microsoft and SAS are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while SAS is ranked #33 with an average rating of 8.0. Microsoft holds a 5.2% mindshare in DI, compared to SAS’s 0.9% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.
Azure Data Factory
Read 92 Azure Data Factory reviews
  • 13,131 Views
  • 9,192 Comparison Views
92% willing to recommend
SAS Data Management
Read 18 SAS Data Management reviews
  • 1,638 Views
  • 917 Comparison Views
88% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAS Data Management and Azure Data Factory are prominent competitors in the data management and integration sector. Azure Data Factory appears to have the upper hand due to its seamless integration with Azure services and user-friendly interface, despite potential improvements in other areas.

Features: SAS Data Management stands out for its comprehensive data quality and integration capabilities, providing a unified view of enterprise data and accommodating multiple data sources. It also excels in reporting and customization. Azure Data Factory offers robust ETL functionalities with a user-friendly visual interface, highlighting its drag-and-drop feature for data workflows. It provides flexibility and scalability with built-in connectors for diverse sources.

Room for Improvement: SAS Data Management is often criticized for its high cost with a complex licensing model. Connectivity issues requiring third-party solutions and limited integration flexibility are noted drawbacks, coupled with a need for better documentation and simplified installation. Azure Data Factory could enhance its complex pricing model, real-time processing capabilities, and some missing connectors. Its integration and support for streaming data are also areas that require significant improvement, along with performance and UI enhancements.

Ease of Deployment and Customer Service: SAS Data Management primarily runs on-premises and is noted for its reliable customer service, although the support knowledge base is sometimes seen as lacking. Azure Data Factory, leveraging cloud deployments, provides great flexibility and scalability, although it faces mixed reviews in customer service responsiveness and technical support depth.

Pricing and ROI: SAS Data Management is seen as expensive with a complex pricing structure, yet offers significant ROI in sectors requiring compliance. The investment is justified by its integration and data standardization capabilities. Azure Data Factory operates on a pay-as-you-go model that offers flexibility but can lead to high costs if not managed well. Its competitive pricing makes it accessible to various businesses and tends to yield favorable ROI due to efficient data processing, despite a complex pricing estimation.

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To learn more, read our detailed Azure Data Factory vs. SAS Data Management Report (Updated: September 2025).
Buyer's Guide
Azure Data Factory vs. SAS Data Management
September 2025
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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:
 

ROI

Sentiment score
6.8
Azure Data Factory offers cost-effective, efficient data consolidation for actionable insights, saving time and resources compared to manual processes.
Sentiment score
5.8
SAS Data Management improves data accuracy and reliability, aiding cost efficiency and reporting, crucial in the pharmaceutical industry.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
For more quotes and insights, download the Azure Data Factory report
No quotes available
For more quotes and insights, download the SAS Data Management report
 

Customer Service

Sentiment score
6.4
Azure Data Factory support is generally satisfactory, with responsive assistance, though some users report delays or costly consulting.
Sentiment score
7.1
SAS Data Management customer service is generally reliable but mixed, with efficient technical support and room for improvement.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
For more quotes and insights, download the Azure Data Factory report
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.
For more quotes and insights, download the SAS Data Management report
Joy Maitra - PeerSpot reviewerBrian Sullivan - PeerSpot reviewerRama Subba Reddy Thavva - PeerSpot reviewer
FK
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is highly scalable and flexible but has room for improvement with third-party integrations and large datasets.
Sentiment score
6.8
SAS Data Management is scalable, supporting enterprises globally with adaptable performance, seamless integration, and efficient complex data handling.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, with occasional issues in responsiveness and large dataset handling.
Sentiment score
7.2
SAS Data Management is reliable and efficient, with server stability on Linux, but Windows client may require restarts.
The solution has a high level of stability, roughly a nine out of ten.
For more quotes and insights, download the Azure Data Factory report
No quotes available
For more quotes and insights, download the SAS Data Management report
 

Room For Improvement

Azure Data Factory needs better integration, scheduling, support, AI features, and user interface improvements for efficient data management.
SAS Data Management requires improved cost efficiency, flexibility, user interface, cloud capabilities, integration, accessibility, and training resources.
Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
When using Git services, there are challenges with linked services and triggers getting overridden when moving between different environments (Dev, UAT, Prod).
For more quotes and insights, download the Azure Data Factory report
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
For more quotes and insights, download the SAS Data Management report
KandaswamyMuthukrishnan - PeerSpot reviewerJoy Maitra - PeerSpot reviewer
DT
ST
 

Setup Cost

Azure Data Factory offers competitive, flexible pricing based on usage, with costs integrating Azure services and varying significantly.
SAS Data Management is expensive but provides high value, with more affordable solutions integrating multiple functions for data management.
The pricing is cost-effective.
It is considered cost-effective.
For more quotes and insights, download the Azure Data Factory report
From my experience, SAS Data Management is an expensive tool.
For more quotes and insights, download the SAS Data Management report
Brian Sullivan - PeerSpot reviewerJoy Maitra - PeerSpot reviewer
ST
 

Valuable Features

Azure Data Factory excels in data integration with user-friendly features, scalability, and over 100 connectors for seamless data movement.
SAS Data Management provides seamless integration, quality, and governance with a user-friendly interface and robust transformation capabilities.
The orchestration features in Azure Data Factory are definitely useful, as it is not only for Azure Data Factory; we can also include DataBricks and other services for integrating the data solution, making it a very beneficial feature.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
It connects to different sources out-of-the-box, making integration much easier.
For more quotes and insights, download the Azure Data Factory report
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 stands out because of its data standardization, transformation, and verification capabilities.
For more quotes and insights, download the SAS Data Management report
KandaswamyMuthukrishnan - PeerSpot reviewer
DT
Joy Maitra - PeerSpot reviewer
FK
ST
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (2nd)
SAS Data Management
Ranking in Data Integration
33rd
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Data Quality (12th), Data Governance (25th)
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of SAS Data Management is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.2%
SAS Data Management0.9%
Other93.9%
Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
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Vivek Trivedi - PeerSpot reviewer
Has robust data governance capabilities and efficient financial alerting features
The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Financial Services Firm
30%
Government
10%
Computer Software Company
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise8
 

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...
See all answers
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...
See all answers
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
See all answers
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
See all answers
What is your primary use case for SAS Data Management?
Some clients and I are using SAS Data Management for data cleansing, data warehousing, and IoT-related activities such as streaming data.
See all answers
 

Comparisons

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Compared 8% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory
Compared 6% of the time
Informatica PowerCenter vs Azure Data Factory Logo
Informatica PowerCenter vs Azure Data Factory
Compared 6% of the time
FME vs Azure Data Factory Logo
FME vs Azure Data Factory
Compared 5% of the time
Palantir Foundry vs Azure Data Factory Logo
Palantir Foundry vs Azure Data Factory
Compared 5% of the time
More Azure Data Factory Competitors
Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management Logo
Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management
Compared 19% of the time
Collibra Governance vs SAS Data Management Logo
Collibra Governance vs SAS Data Management
Compared 12% of the time
Protegrity’s Data Protection Platform vs SAS Data Management Logo
Protegrity’s Data Protection Platform vs SAS Data Management
Compared 11% of the time
Palantir Foundry vs SAS Data Management Logo
Palantir Foundry vs SAS Data Management
Compared 10% of the time
Microsoft Purview Data Governance vs SAS Data Management Logo
Microsoft Purview Data Governance vs SAS Data Management
Compared 8% of the time
More SAS Data Management Competitors
 

Product Reports

Buyer's Guide
Azure Data Factory
October 2025
Azure Data Factory reportDownload Azure Data Factory product report
Buyer's Guide
SAS Data Management
September 2025
SAS Data Management reportDownload SAS Data Management product report
 

Also Known As

No data available
SAS Data Management Platform, Data Management Platform, DataFlux
 

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

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

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
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Buyer's Guide
Azure Data Factory vs. SAS Data Management
September 2025
Free Report: Azure Data Factory vs. SAS Data Management
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