Azure Data Factory vs SAP Data Services comparison

Microsoft and SAP are both solutions in the Data Integration category. Microsoft is ranked #4 with an average rating of 8.1, while SAP is ranked #17 with an average rating of 8.4. Microsoft holds a 2.3% mindshare in DI, compared to SAP’s 1.5% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 86% of SAP users who would recommend it.

Azure Data Factory

Read 96 Azure Data Factory reviews

12,975 Views
9,083 Comparison Views

92% willing to recommend

SAP Data Services

Read 52 SAP Data Services reviews

6,226 Views
4,047 Comparison Views

86% willing to recommend

Azure Data Factory

SAP Data Services

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

SAP Data Services and Azure Data Factory compete in the data management and integration tools market. Azure Data Factory appears to have an upper hand due to its cloud-native capabilities, flexibility, and integration with various data solutions.

Features: SAP Data Services is known for its integration with SAP systems, data mapping, and robust data quality management. It effectively handles complex data transformations and multiple data sources. Users find its integration seamless and appreciate its user-friendly operations. Azure Data Factory is highlighted for its flexibility and ease of integration with numerous data sources. Its powerful ETL toolset and cloud-native functionalities are continuously enhanced, making it a preferred choice for leveraging Azure's ecosystem.

Room for Improvement: SAP Data Services could improve in integrating with non-SAP systems and needs better error logging and user-friendliness. It faces challenges in handling big data, web services, and lacks dynamic scheduling features. Azure Data Factory could enhance its streaming capabilities and Oracle connector integration. Users seek improved pricing transparency and better performance, with a focus on simplified monitoring tools and real-time processing challenges.

Ease of Deployment and Customer Service: SAP Data Services generally supports on-premises and hybrid environments, leading to more complex deployments compared to the agile experience offered by Azure Data Factory's cloud-native architecture. SAP's technical support receives mixed feedback, with some users citing response delays, whereas Azure Data Factory provides competitive support services, although both products have opportunities for improved technical assistance responsiveness.

Pricing and ROI: SAP Data Services is considered expensive and is suited for large enterprises with substantial budgets, offering high ROI through its comprehensive integration and data management features. However, its pricing model may be prohibitive for small to medium enterprises. Azure Data Factory's cost-effective pay-as-you-go model attracts organizations seeking scalable solutions with minimal upfront costs. Despite its pricing transparency, users experience challenges in predicting costs due to its consumption-based billing.

To learn more, read our detailed Azure Data Factory vs. SAP Data Services Report (Updated: June 2026).

Buyer's Guide

Azure Data Factory vs. SAP Data Services

June 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:

ROI

Sentiment score

5.5

Users praise Azure Data Factory for improved ROI through cost savings, enhanced integration, and increased operational efficiency and satisfaction.

Sentiment score

6.2

SAP Data Services offers significant time and cost savings, enhancing productivity and aligning with digital trends for improved effectiveness.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

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.

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the SAP Data Services report

Customer Service

Sentiment score

6.3

Azure Data Factory support is mixed; praised for responsiveness and documentation, but some find it slow and inadequate.

Sentiment score

6.7

SAP Data Services support receives mixed reviews, with high marks for urgent issues but inconsistencies lead some users to seek alternatives.

On a scale of one to ten, I would rate the technical support as nine.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

The technical support from Microsoft is rated an eight out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

If you keep a high priority issue, such as a production impact, they certainly come and address it in no time.

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

The level three support is better because they know what they are doing.

reviewer2686500

SAP BI Architect at a government with 10,001+ employees

For more quotes and insights, download the SAP Data Services report

Scalability Issues

Sentiment score

7.4

Azure Data Factory is praised for its scalability and flexibility, despite some integration issues in older tiers.

Sentiment score

7.4

SAP Data Services is highly scalable, efficiently manages data operations, supports various organizational sizes, and improves performance for enterprises.

Azure Data Factory is highly scalable.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

I did not experience scalability issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

If I were to rate it from one to 10, I would say it has a nine to 10 for scalability.

reviewer2686500

SAP BI Architect at a government with 10,001+ employees

For more quotes and insights, download the SAP Data Services report

Stability Issues

Sentiment score

7.7

Azure Data Factory is stable and dependable, despite occasional connection issues and challenges with SQL query optimization.

Sentiment score

7.6

SAP Data Services is highly stable, user-friendly, with occasional hardware-related issues, and remains reliable with minimal glitches.

The solution has a high level of stability, roughly a nine out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

I have been using Azure Data Factory for a very long time, and I did not find too many issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

I would rate the stability of SAP Data Services as very stable, a ten.

Nhlanhla Mgoza

Data Services Consultant at a tech services company with 1-10 employees

For more quotes and insights, download the SAP Data Services report

Room For Improvement

Azure Data Factory users experience setup complexity, connectivity issues, and seek improved performance, automation, and integration with other platforms.

SAP Data Services struggles with job handling, integration, user interface complexity, pricing, scalability, and support effectiveness.

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.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

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

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

Now, they are coming up with many pricing options, which is tricky; they offer one thing for free, but charge for nine others.

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

SAP Data Services does handle integration with third-party systems.

Nhlanhla Mgoza

Data Services Consultant at a tech services company with 1-10 employees

The documentation is not up to the mark.

reviewer2686500

SAP BI Architect at a government with 10,001+ employees

For more quotes and insights, download the SAP Data Services report

Setup Cost

Azure Data Factory provides cost-effective, usage-based pricing suitable for various budgets, with expenses depending on data volume and services.

SAP Data Services pricing is competitive for enterprises but can be substantial for small businesses with variable licensing costs.

The pricing is cost-effective.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the SAP Data Services report

Valuable Features

Azure Data Factory offers scalable ETL solutions with user-friendly interface, seamless Azure integration, robust orchestration, and effective dataset handling.

SAP Data Services provides scalable data migration and integration with advanced features, including ETL, data quality, and SAP connectivity.

It connects to different sources out-of-the-box, making integration much easier.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

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.

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the Azure Data Factory report

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

SAP Data Services is mainly used for extraction of data, and it works with all databases.

reviewer2686500

SAP BI Architect at a government with 10,001+ employees

It remains a fast data-moving tool, faster than most new ones.

Nhlanhla Mgoza

Data Services Consultant at a tech services company with 1-10 employees

For more quotes and insights, download the SAP Data Services report

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

SAP Data Services

Ranking in Data Integration

17th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Quality (3rd)

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% compared to the previous year. The mindshare of SAP Data Services is 1.5%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.3%
SAP Data Services	1.5%
Other	96.2%

Data Integration

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

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.

Read full review

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

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.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

Manufacturing Company

13%

Construction Company

Government

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	63

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	5
Large Enterprise	36

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

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...

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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...

See all answers

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...

See all answers

Comparisons

Snowflake vs Azure Data Factory

Compared 5% of the time

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

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Services

Compared 5% of the time

Syniti Data Quality vs SAP Data Services

Compared 4% of the time

SSIS vs SAP Data Services

Compared 4% of the time

Palantir Foundry vs SAP Data Services

Compared 4% of the time

Qlik Talend Cloud vs SAP Data Services

Compared 3% of the time

More SAP Data Services Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

Download Azure Data Factory product report

Buyer's Guide

SAP Data Services

May 2026

Download SAP Data Services product report

Also Known As

No data available

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator

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

SAP Data Services is a comprehensive data integration and management tool known for its robust ETL functionality and seamless data quality management across SAP and non-SAP systems, providing flexibility and effective data handling.

SAP Data Services offers extensive integration capabilities with a range of systems, enabling efficient data migration, warehousing, and quality assurance. Despite challenges in connectivity, SQL optimization, and handling big data, it remains a top choice for data extraction and transformation. Its user-friendly interface and customization options enhance ease of use. The tool is recognized for scalability, performance, customer satisfaction, and supporting complex data transformations for improved analytics.

What are the key features of SAP Data Services?

Integration Capabilities: Facilitates seamless data handling between SAP and non-SAP systems.
Robust ETL Functionality: Enables effective extraction, transformation, and loading of data.
Seamless Data Quality Management: Maintains high standards of data integrity and quality.
Heterogeneous Data Processing: Supports diverse data environments for flexibility.
Powerful Data Transformation: Enhances reporting and analytics through complex transformations.

What benefits and ROI should be considered?

Scalability: Grows with business needs without compromising performance.
Performance: Efficient data processing and management for increased productivity.
Customer Satisfaction: High satisfaction levels due to reliability and performance.
Flexibility: Extensive customization options to suit diverse requirements.
Improved Analytics: Supports rich analytics through comprehensive data integration and transformation.

SAP Data Services is widely implemented across industries like banking, telecom, and manufacturing. Companies leverage it to integrate multiple data sources and manage migrations from legacy to modern platforms such as cloud environments and HANA architecture. It supports complex transformations essential for financial, operational, and business intelligence reporting, enhancing insights and decision-making.

SAP

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

Buyer's Guide

Azure Data Factory vs. SAP Data Services

June 2026

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