Azure Data Factory vs SAP NetWeaver Business Warehouse comparison

Why PeerSpot?

Microsoft and SAP are both solutions in the Cloud Data Warehouse category. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 80% of SAP users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

15,321 Views
2,758 Comparison Views

92% willing to recommend

SAP NetWeaver Business Ware...

Read 9 SAP NetWeaver Business Warehouse reviews

1,709 Views
1,333 Comparison Views

80% willing to recommend

Azure Data Factory

SAP NetWeaver Business Ware...

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Executive Summary

We performed a comparison between Azure Data Factory and SAP NetWeaver Business Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Google, Databricks and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: September 2026).

Buyer's Guide

Cloud Data Warehouse

September 2026

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Helped 915,341 peers since 2012

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

Ranking in other categories

Data Integration (6th), Cloud Data Warehouse (6th)

SAP NetWeaver Business Ware...

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Warehouse (20th)

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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AnilKumar38

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.

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Quotes from Members

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

Pros

"Microsoft's technical support is responsive and quick to help."

"If you have Azure as a cloud service and you want to perform ETL then Azure Data Factory is a product that I can recommend."

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

"Azure Data Factory became more user-friendly when data-flows were introduced."

"The initial setup is pretty simple and it can be deployed in a couple of hours."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

"Azure Data Factory is a very easy to use tool."

"I am one hundred percent happy with the stability."

More Azure Data Factory pros

"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."

"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."

"With SAP BW, the organization can start to deploy a data warehouse and deliver data to business people."

"It is a robust system."

"Prior to implementing SAP, I used some local ERPs but finally, I found this to be the most powerful platform."

"A robust and efficient product."

"It's an excellent over-all tool for managers to analyze their business."

More SAP NetWeaver Business Warehouse pros

Cons

"Currently, our company requires a monitoring tool, and that isn't available in 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."

"There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run."

"Data Factory has so many features that it can be a little difficult or confusing to find some settings and configurations. I'm sure there's a way to make it a little easier to navigate."

"Some known bugs and issues with Azure Data Factory could be rectified."

"There are limitations when processing more than one GD file."

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

"The setup and configuration process could be simplified."

More Azure Data Factory cons

"There are performance issues in terms of scalability and availability."

"I think more integration with other applications would be perfect."

"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."

"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 product could provide more features."

"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."

"The setup needs skilled resources in SAP BW. A lack of trained resources can create serious problems."

More SAP NetWeaver Business Warehouse cons

Pricing and Cost Advice

"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 price you pay is determined by how much you use it."

"The solution's pricing is competitive."

"I would not say that this product is overly expensive."

"This is a cost-effective solution."

"Understanding the pricing model for Data Factory is quite complex."

"The pricing model is based on usage and is not cheap."

"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."

More Azure Data Factory pricing and cost advice

"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

11%

Manufacturing Company

Computer Software Company

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

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

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Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

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

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Teradata vs SAP NetWeaver Business Warehouse

Compared 12% of the time

SAP BW4HANA vs SAP NetWeaver Business Warehouse

Compared 12% of the time

Microsoft Parallel Data Warehouse vs SAP NetWeaver Business Warehouse

Compared 7% of the time

IBM Netezza Performance Server vs SAP NetWeaver Business Warehouse

Compared 7% of the time

Actian Ingres vs SAP NetWeaver Business Warehouse

Compared 5% of the time

More SAP NetWeaver Business Warehouse Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

SAP NetWeaver Business Warehouse

September 2026

Download SAP NetWeaver Business Warehouse product report

Also Known As

No data available

NetWeaver Business Warehouse, NetWeaver BusinessObjects Warehouse

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 NetWeaver Business Warehouse is a comprehensive data warehousing solution offering extensive data modeling and integrated BI tools. It provides SAP ERP connectors, ETL features, and tools for robust reporting. Users appreciate its security, data harmonization, and centralization of information.

SAP NetWeaver Business Warehouse features predefined content for easy setup and extensive BI tools for powerful reporting. It facilitates data cleansings and harmonization. Users find the platform's automation of data loads and cell calculations efficient, supporting time-changing dimensions and complex logic in MIS report generation. While it excels in data analysis and reporting across industries, the complexity in deployment and user interface suggests room for improvement in user-friendliness and integration capabilities across applications, including mobile devices. Multilingual support can enhance user experience, while connectors and reporting tools can be simplified for better usability.

What are the key features of SAP NetWeaver Business Warehouse?

Predefined Content: Facilitates easy initiation as a data warehouse
SAP ERP Connectors: Standard connectors for seamless integration
Integrated BI Tools: Powerful tools for robust reporting and analysis
Data Modeling & ETL: Extensive features for data structuring and transformation
Automation: Efficient data loads and cell calculation processes

What benefits should you consider in reviews?

Data Security: Robust procedures ensuring data protection
Centralized Information: Harmonized data centralization for ease of access
Comprehensive Reporting: Advanced tools to generate complex reports
Efficient Performance: Automation and transformation capabilities improving productivity

In the automotive industry, dealers apply SAP NetWeaver Business Warehouse for MIS report generation, while FMCG firms use it for data modeling. Business intelligence teams across HR, finance, and service sectors leverage its analytical capabilities. Airline companies utilize its tools for performance metrics and customer analytics, enabling enhanced data visualization across regions.

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, 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, Google, Databricks and others in Cloud Data Warehouse. Updated: September 2026.

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