Azure Data Factory vs SAP NetWeaver Business Warehouse comparison

Azure Data Factory vs. SAP NetWeaver Business Warehouse

Download the complete report

Helped 850,028 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

6.9

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

SAP NetWeaver Business Ware...

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Warehouse (15th)

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Facilitates seamless data pipeline creation with good analytics and and thorough monitoring

Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

Read full review

Gebrehiwot Tesfay Gebreslassie

Business Intelligence Senior Developer II at Ethiopian Airlines

Data modeling is a valuable feature but there are some issues with scalability

We are an airline and use the system for data modeling and data warehousing, and we implement it for time performance and feedback analysis. I'm the business intelligence senior developer and we are customers of SAP. The data modeling is very valuable for us. There are performance issues in…

Read full review

Quotes from Members

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

Pros

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

"We haven't had any issues connecting it to other products."

"The data copy template is a valuable feature."

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

"It is easy to deploy workflows and schedule jobs."

"We have found the bulk load feature very valuable."

"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."

"Data Factory's best features are simplicity and flexibility."

More Azure Data Factory pros

"A robust and efficient product."

"Data modeling is a valuable feature."

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

"It is a robust system."

"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."

Cons

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"Lacks in-built streaming data processing."

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

"We require Azure Data Factory to be able to connect to Google Analytics."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

"The speed and performance need to be improved."

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

More Azure Data Factory cons

"Design and modeling could be simplified."

"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"

"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."

"The product could provide more features."

Pricing and Cost Advice

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"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 is fair."

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

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

"Product is priced at the market standard."

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

More Azure Data Factory pricing and cost advice

"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."

"All SAP products are expensive."

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

What do you like most about SAP NetWeaver Business Warehouse?

It is a robust system.

What is your experience regarding pricing and costs for SAP NetWeaver Business Warehouse?

All SAP products are expensive.

What needs improvement with SAP NetWeaver Business Warehouse?

The product could provide more features. The stability could be improved.

Informatica PowerCenter vs Azure Data Factory

Comparisons

Compared 11% of the time

Snowflake vs Azure Data Factory

Compared 9% of the time

Alteryx Designer vs Azure Data Factory

Compared 6% of the time

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

Compared 6% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

SAP BW4HANA vs SAP NetWeaver Business Warehouse

Compared 100% of the time

More SAP NetWeaver Business Warehouse Competitors

Product Reports

Azure Data Factory

Download Azure Data Factory product report

SAP NetWeaver Business Warehouse

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

With NetWeaver Business Warehouse, you can quickly Capture, store, and consolidate your vital information with our real-time data warehouse platform. Tightly integrate your warehousing capabilities for a single version of the truth, decision-ready business intelligence, and accelerated operations.

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)

Azure Data Factory vs. SAP NetWeaver Business Warehouse