Azure Data Factory vs SAP Business Warehouse comparison

Microsoft and SAP are both solutions in the Cloud Data Warehouse category. Microsoft is ranked #5 with an average rating of 8.2, while SAP is ranked #15 with an average rating of 8.0. Microsoft holds a 5.3% mindshare in CDW, compared to SAP’s 2.4% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 89% of SAP users who would recommend it.

Azure Data Factory

Read 94 Azure Data Factory reviews

12,241 Views
2,081 Comparison Views

92% willing to recommend

SAP Business Warehouse

Read 26 SAP Business Warehouse reviews

1,658 Views
945 Comparison Views

89% willing to recommend

Azure Data Factory

SAP Business Warehouse

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Executive SummaryUpdated on Dec 18, 2024

SAP Business Warehouse and Azure Data Factory are competing in the data integration and management category. Azure Data Factory seems to have the upper hand due to its feature set and scalability advantages.

Features: SAP Business Warehouse specializes in comprehensive analysis, built-in warehousing, and structured data management. Azure Data Factory excels in seamless cross-platform integration, handling complex ETL processes, and scalable cloud-based solutions.

Room for Improvement: SAP Business Warehouse could enhance ease of deployment, reduce setup complexity, and improve integration with non-SAP systems. Azure Data Factory might focus on expanding community support, enhancing user training resources, and simplifying certain advanced configurations.

Ease of Deployment and Customer Service: SAP Business Warehouse requires substantial deployment resources but offers excellent support and detailed installation guidance. Azure Data Factory provides a quick, cloud-based setup with extensive Microsoft documentation, relying more on community resources for support.

Pricing and ROI: SAP Business Warehouse has a higher initial cost, potentially affecting early ROI, yet offers significant returns through data optimization. Azure Data Factory provides a flexible pricing model with lower entry costs, allowing scalability and yielding favorable ROI by aligning with varying data volumes.

To learn more, read our detailed Azure Data Factory vs. SAP Business Warehouse Report (Updated: April 2026).

Buyer's Guide

Azure Data Factory vs. SAP Business Warehouse

April 2026

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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

Ranking in Cloud Data Warehouse

5th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (4th)

SAP Business Warehouse

Ranking in Cloud Data Warehouse

15th

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Cloud Data Warehouse category, the mindshare of Azure Data Factory is 5.3%, down from 7.9% compared to the previous year. The mindshare of SAP Business Warehouse is 2.4%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	5.3%
SAP Business Warehouse	2.4%
Other	92.3%

Cloud Data Warehouse

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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VishnuReddy2

Consulting Enterprise Architect at R2V2.ai

Have encountered complexity with programming language while working on large-scale data integration and have experienced improved governance and reporting

The only complexity I find with the product is the programming language; people find it harder, but once you know the language, it's not that difficult. Regarding the future of SAP Business Warehouse, I would to see added features that simplify the product very well now. They are coming up with a terminology called SAP BDC where they are consolidating their tools, SAP Data Sphere for integration and SAP BW for the ETL and warehousing parts, and SAP Analytics Cloud. They are packaging these three features and calling it Business Data Cloud; they are fully coming on the cloud. We have to wait and watch; they have been speaking about BW/4HANA for quite some time now, but the customers or clients I work with are not finding great interest and it was seen as a candidate for evaluation. I have seen people looking at the latest technologies who are already on cloud who started building from scratch on cloud, such as Snowflake or Databricks, which can process very huge amounts of data and also address unstructured data, where SAP lags behind in cases where there is a need to bring in unstructured data. I have worked with SAP Data Intelligence, which earlier used to be called SAP Data Hub. The unstructured data is not greatly handled in SAP at this point in time.

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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

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

"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."

"In terms of my personal experience, it works fine."

"The most important feature is that it can help you do the multi-threading concepts."

"The most valuable feature of Azure Data Factory is the core features that help you through the whole Azure pipeline or value chain."

"It is beneficial that the solution is written with Spark as the back end."

"I like that it's a monolithic data platform. This is why we propose these solutions."

"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."

More Azure Data Factory pros

"The product is very stable."

"The warehouse is the solution's most valuable feature."

"SAP Business Warehouse is a scalable solution."

"The most valuable feature is the new version of Business Explorer Analyzer, which is a very good version because there are a lot of analytical features of Excel also."

"The best features of SAP Business Warehouse that I am fond of are how this technology handles navigational attributes and the hierarchy; these are two interesting features."

"BW is our bread and butter."

"The most valuable feature of this solution is the advanced structuring of data capabilities. You can get different structures of data to suit your needs."

"What I like most about SAP Business Warehouse is its ability to feed data into new, multiple systems in various formats. It can open its data to any system over gateway services or a portal or application that needs to consume and analyze data."

More SAP Business Warehouse pros

Cons

"They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base."

"The user interface could use improvement. It's not a major issue but it's something that can be improved."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

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

"When the record fails, it's tough to identify and log."

"The performance and stability are touch and go."

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

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

More Azure Data Factory cons

"What I'd like to improve in SAP Business Warehouse is its data structure, that's a little bit rigid. It could be a bit more flexible, so you can design your data structure and improve performance when creating a solution. Currently, the way data is stored in SAP Business Warehouse is rigid."

"There is room for improvement from a technical perspective."

"You can start quickly but, when you have to get a little more detailed, when you have to change something, when you have to solve problems, it's not that easy."

"It takes more work to get the data, including reporting on that data, because some coding is required, and a significant level of transformation is needed when using SAP Business Warehouse."

"We are running an older version; it is doing what we need it to do but there is some limitation due to its version."

"In the next release, my suggestion would be to have user-friendly interfaces and performance issues be addressed."

"They should reduce the product’s installation package size for easier downloading."

"The problem with BW, and the factor that differentiated it from the original BW, is that you only get limited functionality with your runtime license. So, you have to pay extra for extracting data."

More SAP Business Warehouse cons

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"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."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"Product is priced at the market standard."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

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

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

More Azure Data Factory pricing and cost advice

"The solution is quite expensive."

"The licensing cost for SAP Business Warehouse depends on your revenue. Its licensing structure is a little bit complicated. The more your revenue is, the higher the price, but SAP does have different pricing structures for various companies. For small businesses, licensing isn't based on revenue, but for big companies, it's revenue-based. There's some agreement regarding pricing for huge companies, so it's different, and SAP Business Warehouse pricing isn't fixed. On a scale of one to ten, I'm rating the licensing cost for SAP Business Warehouse as five because it's very high. As your revenue grows, your licensing cost also increases, so you have to factor that in when calculating your cost."

"It's moderately expensive, but definitely has its branding and price value for it."

"It's quite pricey. SAP changed its pricing policy, so they give you one engine and then you have to buy everything next to it, like MSS, the BPC licenses, and everything else."

"I would not recommend it to small-scale companies. The price is too much."

"The license for SAP Business Warehouse is paid yearly, and there's no extra cost in addition to the standard licensing fees."

"Overall, the pricing is not fixed and is expensive."

"SAP Business Warehouse licensing is a bit expensive compared to other products in the market."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

10%

Manufacturing Company

Government

Manufacturing Company

11%

Healthcare Company

10%

Comms Service Provider

Marketing Services Firm

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	8
Midsize Enterprise	4
Large Enterprise	15

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

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

The pricing for SAP Business Warehouse is on the expensive side. I am not sure about the current costing model as such. In my experience on cloud, I did not use BW HANA Cloud. I used the cloud prod...

See all answers

What needs improvement with SAP Business Warehouse?

See all answers

What is your primary use case for SAP Business Warehouse?

I am using SAP Business Warehouse in my organization for data warehousing as well as an ETL tool. Integration with SAP Business Warehouse's ETL tools is not straightforward. Integration with SAP ER...

See all answers

Comparisons

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

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Snowflake vs SAP Business Warehouse

Compared 13% of the time

BigQuery vs SAP Business Warehouse

Compared 12% of the time

Microsoft Azure Synapse Analytics vs SAP Business Warehouse

Compared 10% of the time

Databricks vs SAP Business Warehouse

Compared 10% of the time

SAP Business Data Cloud vs SAP Business Warehouse

Compared 10% of the time

More SAP Business Warehouse Competitors

Product Reports

Buyer's Guide

Azure Data Factory

May 2026

Download Azure Data Factory product report

Buyer's Guide

SAP Business Warehouse

April 2026

Download SAP Business Warehouse product report

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 Business Warehouse integrates real-time data access via HANA, with Microsoft Excel and SAP ERP for enhanced data transformation and reporting. Known for its speed and hybrid features, it meets diverse data governance needs.

SAP Business Warehouse is designed to streamline data access and transformation with its integration capabilities. Its speed and efficiency are complemented by advanced reporting features and a robust authorization model. Users benefit from drag-and-drop reporting and alert systems that enhance operational efficiency. Despite its strengths, improvements are necessary in user friendliness, data integration, and reporting speed. Users require better trend analysis tools, increased visualization capabilities, and a more flexible configuration to optimize use. Real-time data access remains an area for development.

What features define SAP Business Warehouse?

HANA Integration: Enables real-time data access
Excel and ERP Integration: Seamless interaction with popular tools
Advanced Reporting: Delivers high-quality reporting capabilities
Hybrid Functionality: Offers versatile use cases
Drag-and-Drop: Simplifies reporting and analysis tasks
Authorization Model: Ensures secure data handling

What benefits and ROI can users expect?

Operational Efficiency: Enhanced by alert and monitoring tools
Data Governance: Robust models meet diverse needs
Centralized Data: Comprehensive data storage and access
Decision-Making Support: BI tools inform strategic planning

SAP Business Warehouse plays a crucial role in industries like finance and supply chain, leveraging data warehousing, ETL processes, and powerful BI applications to enhance decision-making with tools like Business Objects, Tableau, and Power BI. It serves as a central data repository, facilitating extensive reporting and analysis capabilities.

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

Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone

Buyer's Guide

Azure Data Factory vs. SAP Business Warehouse

April 2026

Free Report: Azure Data Factory vs. SAP Business Warehouse

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