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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
6.7
Number of Reviews
96
Ranking in other categories
Data Integration (5th), Cloud Data Warehouse (7th)
SAP NetWeaver Business Ware...
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
9
Ranking in other categories
Data Warehouse (20th)
 

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's a good tool, a good product that does what it's supposed to do well, which is ingesting data from a source to your target, to another cloud, to another source."
"I value the integration capabilities with other platforms and software in Azure Data Factory the most."
"From what we have seen so far, the solution seems very stable."
"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"This solution will allow the organisation to improve its existing data offerings over time by adding predictive analytics, data sharing via APIs and other enhancements readily."
"The function of the solution is great."
"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."
"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."
"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 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."
"Data modeling is a valuable feature."
"We are an airline and use the system for data modeling and data warehousing, and we implement it for time performance and feedback analysis."
"With SAP BW, the organization can start to deploy a data warehouse and deliver data to business people."
"Prior to implementing SAP, I used some local ERPs but finally, I found this to be the most powerful platform."
"Transformation is a valuable feature of SAP NetWeaver. I can transform the data as per my needs or my client's needs. For example, flat tables can be transformed with respect to our requirements to combine multiple modules into one single table, and we can derive analytics."
"It is a robust system."
 

Cons

"I wouldn't consider it to be stable since it fails at times."
"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."
"I have encountered a problem with the integration with third-party solutions, particularly with SAP."
"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."
"We have experienced some issues with the integration. This is an area that needs improvement."
"It would be better if it had machine learning capabilities."
"The one element of the solution that we have used and could be improved is the user interface."
"The only thing that we're struggling with is increasing the competency of my team, so we think that the Microsoft documentation is too complicated."
"The setup needs skilled resources in SAP BW. A lack of trained resources can create serious problems."
"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 program is difficult to learn to use"
"Connectors are complex, and it is difficult to understand or know which connector should be used. For instance, if I want to connect APIs, I will not be able to do it directly. I would have to go to the portal integration to get the data. Therefore, having simplified connectors will make things much easier."
"People using SAP BW have to undergo some training to be able to use the product. Complexity can be reduced and could be made a bit more user-friendly."
"It is difficult when your native language is not English. It is difficult for us to explain our issue and also difficult for the technical team to explain a resolution to us."
"I think more integration with other applications would be perfect."
"There are performance issues in terms of scalability and availability."
 

Pricing and Cost Advice

"Pricing appears to be reasonable in my opinion."
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
"The cost is based on the amount of data sets that we are ingesting."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"The price is fair."
"I would not say that this product is overly expensive."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Pricing is based on the number of user IDs and tyhe user ID works across a suite of products."
"All SAP products are expensive."
"The licensing cost is high for SAP NetWeaver compared to that for other products."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise63
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...
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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 Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: June 2026.
902,894 professionals have used our research since 2012.