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Azure Data Factory vs SAP Data Services comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

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
6.7
SAP Data Services delivers 300% ROI, cuts costs and time, enhances data quality, and offers rapid deployment with advanced technology.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
 

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
6.7
SAP Data Services customer support is praised for technical expertise but criticized for response delays and limited language options.
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.
If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.
Unlike level one where they basically search for the notes and provide responses, level two and level three are much better.
 

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
7.4
SAP Data Services is highly scalable, effectively supporting varied enterprise sizes with excellent workload management and expansion ratings.
Azure Data Factory is highly scalable.
If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, with occasional issues in responsiveness and large dataset handling.
Sentiment score
7.6
SAP Data Services is stable and reliable, with occasional crashes but generally user-friendly across various sectors, including telecom.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory needs better integration, scheduling, support, AI features, and user interface improvements for efficient data management.
SAP Data Services faces integration, performance, customization, and cost challenges, needing interface improvements and better multilingual and technical support.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
There is a problem with the integration with third-party solutions, particularly with SAP.
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.
Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.
The documentation is not up to the mark.
 

Setup Cost

Azure Data Factory offers competitive, flexible pricing based on usage, with costs integrating Azure services and varying significantly.
SAP Data Services pricing is high, appealing to enterprises, with costs influenced by licensing, maintenance, and usage-based models.
The pricing is cost-effective.
It is considered cost-effective.
 

Valuable Features

Azure Data Factory excels in data integration with user-friendly features, scalability, and over 100 connectors for seamless data movement.
SAP Data Services offers robust ETL, integration, data quality features, user-friendly interface, SQL support, and scalable connectivity.
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.
SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
SAP Data Services is mainly used for extraction of data, and it works with all databases.
 

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)
SAP Data Services
Ranking in Data Integration
11th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
51
Ranking in other categories
Data Quality (2nd)
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.6%, down from 11.6% compared to the previous year. The mindshare of SAP Data Services is 1.9%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.6%
SAP Data Services1.9%
Other92.5%
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.
Ramesh Pampana - PeerSpot reviewer
Has consistently provided impressive data handling capabilities and robust security features
Some of the most valuable features of SAP Data Services include data extraction where SAP is the best in that perspective, but when it comes to analytics or the reporting tool, I prefer to connect with Microsoft Power BI, which is a fantastic tool. Typically, from an end-user perspective, SAP has a huge amount of data, in terms of terabytes of data, but when you analyze that, the best form of visualization is always through Microsoft Power BI. SAP Data Services provides a best-in-class return on investment, as SAP's vision and forecast are absolutely amazing. They are ahead of technology, building an ecosystem that meets the standards of the fast-changing digital economy. SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
Manufacturing Company
14%
Computer Software Company
10%
Government
9%
Financial Services Firm
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 Business12
Midsize Enterprise5
Large Enterprise36
 

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...
How do you evaluate the ratio of price to quality for SAP Data Services?
I believe the license for the product is fair, even though some competitors offer similar services at lower prices. The difference between the Edge edition and the next one up is significant in pr...
Would you recommend SAP Data Services to complete beginners?
I think after some preparation, a beginner will be able to use SAP Data Services, however, if you are completely unprepared, you may have some issues. I think that in particular you will need a mo...
How has SAP Data Services helped your organization?
SAP Data Services has helped our whole staff understand the data across various sources and systems within the company. Not everyone who works at my organization is an IT expert - most just have av...
 

Also Known As

No data available
SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
 

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
EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
Find out what your peers are saying about Azure Data Factory vs. SAP Data Services and other solutions. Updated: September 2025.
867,370 professionals have used our research since 2012.