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Azure Data Factory vs SAP Data Services comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (3rd)
SAP Data Services
Ranking in Data Integration
10th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
48
Ranking in other categories
Data Quality (2nd)
 

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of SAP Data Services is 2.8%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Thulani David Mngadi - PeerSpot reviewer
Data flow feature is valuable for data transformation tasks
The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.
RambabuMandala - PeerSpot reviewer
Responsive support, scalable, and beneficial integration
The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept. There are a lot of SAP applications and they have good integration with SAP packages. In the next release, they should be more advanced cloud functionalities and web services. More integration with other applications including SAPs and other applications. They should not switch to a complete solution but provide better integration with other applications.

Quotes from Members

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

Pros

"Allows more data between on-premises and cloud solutions"
"The most valuable feature is the ease in which you can create an ETL pipeline."
"The solution has a good interface and the integration with GitHub is very useful."
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"The solution can scale very easily."
"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."
"The product's most valuable features are data validation and rules."
"The feature of SAP Data Services has enhanced our company's business processes because we are able to run around 800 jobs in areas like data extraction and transaction objects."
"The user interface is ok."
"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."
"It's easy to understand and deploy. It's easy to create new applications, and depending on the complexity of the application, it is easy to deploy the new requirements."
"The logic is also simple. It makes it easy to build your extraction."
"Its integration capabilities and the data migration capabilities are the most valuable. It is very good for SAP and non-SAP tools. It has very good integration with SAP, but it also has the capabilities to connect to other systems. We find it very helpful and stable."
"The API tool in this product is very valuable; it is very easy to onboard and use."
 

Cons

"It can improve from the perspective of active logging. It can provide active logging information."
"The initial setup is not very straightforward."
"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."
"Lacks a decent UI that would give us a view of the kinds of requests that come in."
"Azure Data Factory can improve the transformation features. You have to do a lot of transformation activities. This is something that is just not fully covered. Additionally, the integration could improve for other tools, such as Azure Data Catalog."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."
"The user interface could use improvement. It's not a major issue but it's something that can be improved."
"At the integration level, there could be certain set of improvement to connect to various other systems."
"SAP Data Services should be made a web-based solution."
"We encounter challenges while exporting implemented rules, such as those applied to objects like the material master, into a format like Excel for documentation and further analysis."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"With SAP Data Services, the problem arises when I try to connect to Azure Databricks."
"It will work fine only in an SAP environment. It could be said that the integration with other vendors could be better."
"The migration of the solution between different environments is quite complex."
"Address validation in SAP Data Services is chargeable and should be made free."
 

Pricing and Cost Advice

"The licensing is a pay-as-you-go model, where you pay for what you consume."
"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"It's not particularly expensive."
"Data Factory is expensive."
"Product is priced at the market standard."
"Data Factory is affordable."
"The solution's pricing is competitive."
"I rate the product price as one or two on a scale of one to ten, where one is a low price, and ten is a high price."
"It's relatively expensive compared to other vendors, but it is competitive."
"The product’s on-premise version is expensive for a medium-sized company."
"There is a one time purchase fee plus annual maintenance."
"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."
"The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."
"The pricing is a little high to make the product more competetive in the marketplace."
"The enterprise version of SAP Data Services is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Manufacturing Company
16%
Computer Software Company
12%
Financial Services Firm
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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
 

Learn More

 

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: December 2024.
824,053 professionals have used our research since 2012.