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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 March 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.0%, down from 12.9% 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 feature I found most helpful in Azure Data Factory is the pipeline feature, including being able to connect to different sources. Azure Data Factory also has built-in security, which is another valuable feature."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The data copy template is a valuable feature."
"We haven't had any issues connecting it to other products."
"The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."
"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."
"It makes it easy to collect data from different sources."
"I like the basic features like the data-based pipelines."
"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."
"SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."
"We can customize any workflow and we also like the business domain modeling that can be done."
"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."
 

Cons

"When we initiated the cluster, it took some time to start the process."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"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 always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." 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."
"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."
"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."
"The initial setup is not very straightforward."
"There are limitations when processing more than one GD file."
"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."
"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."
"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

"I don't see a cost; it appears to be included in general support."
"The cost is based on the amount of data sets that we are ingesting."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"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."
"The pricing model is based on usage and is not cheap."
"The solution's pricing is competitive."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"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."
"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."
"It's a very expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
17%
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.
841,004 professionals have used our research since 2012.