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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 February 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.1%, 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

"Powerful but easy-to-use and intuitive."
"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."
"The most valuable aspect is the copy capability."
"What I like best about Azure Data Factory is that it allows you to create pipelines, specifically ETL pipelines. I also like that Azure Data Factory has connectors and solves most of my company's problems."
"I can do everything I want with SSIS and Azure Data Factory."
"It's extremely consistent."
"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"The solution is okay."
"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."
"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."
"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."
 

Cons

"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."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Data Factory's monitorability could be better."
"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."
"There are performance issues, particularly with the underlying compute, which should be configurable."
"One area for improvement is documentation. At present, there isn't enough documentation on how to use Azure Data Factory in certain conditions. It would be good to have documentation on the various use cases."
"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."
"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."
"There is room for improvement in terms of pricing and faster support."
"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."
"I would like to see it become mobile-friendly."
"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."
 

Pricing and Cost Advice

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"The pricing is a bit on the higher end."
"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."
"I would not say that this product is overly expensive."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"Pricing appears to be reasonable in my opinion."
"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."
"This is a cost-effective solution."
"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
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
19%
Manufacturing Company
11%
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: January 2025.
837,501 professionals have used our research since 2012.