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Azure Data Factory vs SAP Business Data Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Apr 15, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.3
Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.
Sentiment score
4.3
Users observed ROI from SAP Business Data Cloud via cost savings, efficiency, and faster returns, especially in specific industries.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Principal Architect at a tech consulting company with 501-1,000 employees
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD
It will definitely reduce the need for more staff to handle this technology.
SAP BDC Consultant at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.2
Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.
Sentiment score
6.1
SAP Business Data Cloud support has mixed reviews, praised for responsiveness but criticized for delays and complex case handling.
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
The technical support from Microsoft is rated an eight out of ten.
Chief Analytics Officer at Idiro Analytics
The technical support is responsive and helpful
Sr. Technical Architect at Hexaware Technologies Limited
I would give the technical support for SAP Business Data Cloud a 10 out of 10.
Business Data Lead (Egypt And North Africa) at Reckitt Benckiser
On a scale from 0 to 10, I would rate their support 10 out of 10.
Manager at Syntegon
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
Competence Leader - BI at Sabris CZ s.r.o.
 

Scalability Issues

Sentiment score
7.3
Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.
Sentiment score
7.0
SAP Business Data Cloud is scalable, integrates well with systems, and efficiently supports enterprise data and reporting needs.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues.
Technique at Digitaltrack
It meets the needs of organizations requiring cloud-native architecture, support for large-scale SAP and non-SAP integrations, elastic compute and storage capabilities, and enterprise-grade governance.
Firmware Developer at a tech vendor with 10,001+ employees
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Competence Leader - BI at Sabris CZ s.r.o.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.
Sentiment score
7.5
SAP Business Data Cloud is highly rated for reliability, though occasional downtime occurs during updates or with large datasets.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
It gives me the accurate result.
Test Engineer at Happiest Minds Technologies
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
Competence Leader - BI at Sabris CZ s.r.o.
It has been reliable for reporting, analytics, and data integration activities.
Network security engineer at a outsourcing company with 11-50 employees
This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.
Associate Manager at a tech vendor with 10,001+ employees
 

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.
SAP Business Data Cloud requires improvements in cost, integration, performance, AI capabilities, and user onboarding for broader adoption.
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
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.
Test Engineer at Happiest Minds Technologies
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Competence Leader - BI at Sabris CZ s.r.o.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
Principal Architect at a tech consulting company with 501-1,000 employees
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD
 

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.
SAP Business Data Cloud is valued for integration but criticized for high costs and lack of pricing transparency.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
Director & Co Owner at INFRABEAT TECHNOLOGIES PVT LTD
From a planning license perspective, SAC on that side is very expensive if you need developer features.
Director Of Analytics at a outsourcing company with 501-1,000 employees
SAP Business Data Cloud is at a disadvantage when compared to tools like Talend or Informatica, which are cheaper and more capable.
Manager at a tech vendor with 10,001+ employees
 

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.
SAP Business Data Cloud offers user-friendly analytics, AI integration, real-time reporting, and zero-copy data sharing for efficient management.
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Data Engineer at Vthinktechnologies
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
Director at a computer software company with 1,001-5,000 employees
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
Project Manager at a tech services company with 51-200 employees
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
Associate director, SAP technical at a outsourcing company with 1,001-5,000 employees
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
Principal Architect at a tech consulting company with 501-1,000 employees
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
5th
Ranking in Cloud Data Warehouse
7th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
No ranking in other categories
SAP Business Data Cloud
Ranking in Data Integration
6th
Ranking in Cloud Data Warehouse
5th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
121
Ranking in other categories
BI (Business Intelligence) Tools (3rd), Business Performance Management (2nd), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (4th)
 

Mindshare comparison

As of September 2026, in the Cloud Data Warehouse category, the mindshare of Azure Data Factory is 5.2%, down from 6.8% compared to the previous year. The mindshare of SAP Business Data Cloud is 3.5%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
SAP Business Data Cloud3.5%
Azure Data Factory5.2%
Other91.3%
Cloud Data Warehouse
 

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.
Pavlina Pankova - PeerSpot reviewer
Competence Leader - BI at Sabris CZ s.r.o.
Brings reporting, planning, and prediction together in one seamless workflow
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
Media Company
14%
Outsourcing Company
12%
Manufacturing Company
11%
Construction Company
7%
 

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 Business48
Midsize Enterprise21
Large Enterprise79
 

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...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
What is your experience regarding pricing and costs for SAP Analytics Cloud?
I normally do not deal with the commercials, so I am not aware of the pricing part of it.
What needs improvement with SAP Analytics Cloud?
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a c...
 

Also Known As

No data available
SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub
 

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
Ericsson, Vodafone, Google, Team Liquid, Ryder Cup, Accenture
Find out what your peers are saying about Azure Data Factory vs. SAP Business Data Cloud and other solutions. Updated: September 2026.
913,924 professionals have used our research since 2012.