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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
97
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

Kunal Das - PeerSpot reviewer
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.
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

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."
"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."
"The most important feature is that it can help you do the multi-threading concepts."
"I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets."
"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."
"Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness."
"It makes it easy to collect data from different sources."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"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."
"It's an excellent over-all tool for managers to analyze their business."
"This is a very robust and efficient product, and it's very powerful, in particular when it comes to data management in the SAP system."
"A robust and efficient product."
"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."
"Data modeling is a valuable feature."
"It is a robust system."
 

Cons

"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 product could provide more ways to import and export data."
"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."
"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."
"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"I have not found any real shortcomings within the product."
"Real-time replication is required, and this is not a simple task."
"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 setup needs skilled resources in SAP BW. A lack of trained resources can create serious problems."
"I think more integration with other applications would be perfect."
"There are performance issues in terms of scalability and availability."
"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."
"Design and modeling could be simplified."
"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."
 

Pricing and Cost Advice

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"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."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"The solution is cheap."
"I would rate Data Factory's pricing nine out of ten."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"All SAP products are expensive."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
9%
Construction Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise64
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)
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