Azure Data Factory vs SAP NetWeaver Business Warehouse comparison

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 96 Azure Data Factory reviews

12,975 Views
2,206 Comparison Views

92% willing to recommend

SAP NetWeaver Business Ware...

Read 9 SAP NetWeaver Business Warehouse reviews

1,186 Views
901 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, Teradata, Google and others in Cloud Data Warehouse.

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

Buyer's Guide

Cloud Data Warehouse

June 2026

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Helped 900,747 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 (4th), Cloud Data Warehouse (5th)

SAP NetWeaver Business Ware...

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Warehouse (20th)

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.

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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

"It is very modular; it works well, is very flexible, and you can easily bring in outside capabilities and build any features you want."

"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."

"The features that I've found most valuable, in order: That it is a complete ETL Solution, the second one is interface, the third one workflow, and the fourth one ease of use."

"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."

"The most valuable feature I have found at Azure Data Factory is the data flow function."

"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."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS."

More Azure Data Factory pros

"We are an airline and use the system for data modeling and data warehousing, and we implement it for time performance and feedback analysis."

"It is a robust system."

"The security and audit procedures are the most valuable features."

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

"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."

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

"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."

"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."

More SAP NetWeaver Business Warehouse pros

Cons

"It's a good idea to take a Microsoft course. Because they are really helpful when you start from your journey with Data Factory."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"I wouldn't consider it to be stable since it fails at times."

"In the next release, it's important that some sort of scheduler for running tasks is added."

"The solution needs to integrate more with other providers and should have a closer integration with Oracle BI."

"There are performance issues, particularly with the underlying compute, which should be configurable."

"Some prebuilt data source or data connection aspects are generic."

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

More Azure Data Factory cons

"The product could provide more features."

"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 solution could be improved by simplifying the modeling and the design. We're faced with too many options and too many object types."

"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."

"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."

"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

"Pricing is comparable, it's somewhere in the middle."

"I don't see a cost; it appears to be included in general support."

"This is a cost-effective solution."

"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 cost is based on the amount of data sets that we are ingesting."

"ADF is cheaper compared to AWS."

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

"The licensing cost is included in the Synapse."

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."

"The licensing cost is high for SAP NetWeaver compared to that for other products."

"All SAP products are expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing 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	63

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...

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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

Teradata vs SAP NetWeaver Business Warehouse

Compared 12% of the time

SAP BW4HANA vs SAP NetWeaver Business Warehouse

Compared 11% of the time

Microsoft Parallel Data Warehouse vs SAP NetWeaver Business Warehouse

Compared 6% of the time

IBM Netezza Performance Server vs SAP NetWeaver Business Warehouse

Compared 6% of the time

IBM Db2 Warehouse vs SAP NetWeaver Business Warehouse

Compared 3% of the time

More SAP NetWeaver Business Warehouse Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

Download Azure Data Factory product report

Buyer's Guide

SAP NetWeaver Business Warehouse

May 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, Teradata, Google and others in Cloud Data Warehouse. Updated: June 2026.

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