No more typing reviews! Try our Samantha, our new voice AI agent.

Azure Data Factory vs SAP NetWeaver Business Warehouse comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
94
Ranking in other categories
Data Integration (4th), Cloud Data Warehouse (5th)
SAP NetWeaver Business Ware...
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
9
Ranking in other categories
Data Warehouse (21st)
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
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.
AK
Project Manager - Analytics at Mindsprint
Can transform data per clients' needs and can easily distribute reports to end users
I would recommend looking at all of the solutions currently available and then decide. I would not immediately suggest going for SAP NetWeaver. Being able to transform the data according to my requirements is a crucial feature; the phasing layers are helpful to distinguish data with respect to a specific project; analytics and reporting are very feasible; and the distribution of reports to the end users is also very easy. However, connectors need to be simplified, and technical support needs to be improved. Thus, on a scale from one to ten, I would rate SAP NetWeaver Business Warehouse at eight.

Quotes from Members

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

Pros

"It is beneficial that the solution is written with Spark as the back end."
"We haven't had any issues connecting it to other products."
"The function of the solution is great."
"It works very well with Azure Data Factory to pull the records, parse them quickly and post them in the database and data warehouse."
"I think it makes it very easy to understand what data flow is and so on; you can leverage the user interface to do the different data flows, and it's great, I like it a lot."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The most valuable features are data transformations."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."
"The security and audit procedures are the most valuable features."
"It is a robust system."
"Data cleansed and harmonization. It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."
"With SAP BW, the organization can start to deploy a data warehouse and deliver data to business people."
"It's an excellent over-all tool for managers to analyze their business."
"Queries based on the Data warehouse have enabled the Service department of the organization analyze data deeply and get insights into daily inflow and revenue as well as analyze data over time periods, various models, model years, by customer segment, etc."
"Data modeling is a valuable feature."
 

Cons

"It would be better if it had machine learning capabilities."
"Technical support isn't the best, as it's a bit delayed at times. Whenever we need some urgent support, wherein we have to restart or something has stuck, it takes a bit of time."
"It does not appear to be as rich as other ETL tools. It has very limited capabilities."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"There is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"I think more integration with other applications would be perfect."
"The program is difficult to learn to use"
"The solution could be improved by simplifying the modeling and the design. We're faced with too many options and too many object types."
"The setup needs skilled resources in SAP BW. A lack of trained resources can create serious problems."
"There are performance issues in terms of scalability and availability."
"The product could provide more features."
"There are performance issues in terms of scalability and availability."
"The complexity of this data warehouse application is huge and makes it tough to manage and deploy it. In general, it requires a lot of know-how and time which makes it expensive to deliver fast answers."
 

Pricing and Cost Advice

"The cost is based on the amount of data sets that we are ingesting."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"Data Factory is affordable."
"The licensing cost is included in the Synapse."
"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"The price you pay is determined by how much you use it."
"Understanding the pricing model for Data Factory is quite complex."
"All SAP products are expensive."
"The licensing cost is high for SAP NetWeaver compared to that for other products."
"Pricing is based on the number of user IDs and tyhe user ID works across a suite of products."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
893,221 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
9%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise20
Large Enterprise57
By reviewers
Company SizeCount
Small Business3
Large Enterprise7
 

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...
Ask a question
Earn 20 points
 

Also Known As

No data available
NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse
 

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, Takisada-Osaka Co. Ltd., Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Magazine zum Globus (Migros Group)
Find out what your peers are saying about Azure Data Factory vs. SAP NetWeaver Business Warehouse and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.