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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 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 data copy template is a valuable feature."
"UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages."
"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."
"We haven't had any issues connecting it to other products."
"Data Factory allows you to pull data from multiple systems, transform it according to your business needs, and load it into a data warehouse or data lake."
"I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features."
"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."
"The solution is okay."
"We can customize any workflow and we also like the business domain modeling that can be done."
"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."
"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 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."
"SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."
 

Cons

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"Real-time replication is required, and this is not a simple task."
"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."
"If the user interface was more user friendly and there was better error feedback, it would be helpful."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."
"Data Factory's monitorability could be better."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"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."
"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."
"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."
"There is room for improvement in terms of pricing and faster support."
 

Pricing and Cost Advice

"It's not particularly expensive."
"Data Factory is expensive."
"Product is priced at the market standard."
"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."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"This is a cost-effective solution."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"The cost is based on the amount of data sets that we are ingesting."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
15%
Manufacturing Company
12%
Healthcare Company
8%
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.
845,406 professionals have used our research since 2012.