Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs SAP Replication Server comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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 Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (3rd)
SAP Replication Server
Ranking in Data Integration
30th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
7
Ranking in other categories
Database Development and Management (18th)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Azure Data Factory is 9.5%, down from 12.7% compared to the previous year. The mindshare of SAP Replication Server is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
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.
Imran  Rafi - PeerSpot reviewer
Foolproof stability and robust system
SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience. One of its notable features is real-time replication, which ensures that data changes are replicated immediately. This is particularly advantageous when we need to execute full processes promptly.

Quotes from Members

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

Pros

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."
"The data mapping and the ability to systematically derive data are nice features. It worked really well for the solution we had. It is visual, and it did the transformation as we wanted."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"It is easy to integrate."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"I can do everything I want with SSIS and Azure Data Factory."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"Feature-wise, one of the most valuable ones is the data flows introduced recently in the solution."
"SAP is renovating different things. We are using external tools to connect as of now. It is going well, and now the new generation integration platforms are going to be pretty easy."
"It speeds up the performance in terms of how fast you are able to access the data, look at it, get it reported to you, and send it to somebody. It also reduces the amount of storage."
"SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."
"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."
"We can customize any workflow and we also like the business domain modeling that can be done."
 

Cons

"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."
"There aren't many third-party extensions or plugins available in the solution."
"The deployment should be easier."
"I have not found any real shortcomings within the product."
"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."
"Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."
"It can improve from the perspective of active logging. It can provide active logging information."
"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"There is room for improvement in terms of pricing and faster support."
"If someone wants to replicate their data from Sybase to a newer technology for data warehousing or other purposes, it would be better if they supported those."
"I would like to see it become mobile-friendly."
"Improvement is a never ending story, and HANA is doing some improvements. We are able to adopt that, and we have to do it by integration with HANA. They are very major changes that we need to see."
"The private solution is expensive. If you're in a situation where you're paying IBM or AWS or somebody just to host you specifically, you're paying people to run it and you're taking care of all the upgrades."
 

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"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."
"Understanding the pricing model for Data Factory is quite complex."
"The solution is cheap."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"The pricing model is based on usage and is not cheap."
"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"It's not particularly expensive."
"It's a very expensive solution."
"You can pick one of the hosted cloud services as opposed to owning it and doing it yourself. Your cost of ownership on the hardware, the data storage, and the maintenance all go down. It depends on what service you use."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
845,040 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
14%
Manufacturing Company
12%
Healthcare Company
9%
Computer Software Company
8%
 

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 Replication Server?
SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience.
What needs improvement with SAP Replication Server?
SAP can provide better support for cross-database replication to newer technologies. The product supports Oracle, but I am not aware of what other technologies it supports. If someone wants to repl...
 

Also Known As

No data available
Sybase Replication Server
 

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
Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone
Find out what your peers are saying about Azure Data Factory vs. SAP Replication Server and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.