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Azure Data Factory vs SAP Replication Server comparison

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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
6th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
97
Ranking in other categories
Cloud Data Warehouse (6th)
SAP Replication Server
Ranking in Data Integration
55th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
7
Ranking in other categories
Database Development and Management (21st)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.1% compared to the previous year. The mindshare of SAP Replication Server is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.2%
SAP Replication Server0.9%
Other96.9%
Data Integration
 

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.
GagandeepSingh3 - PeerSpot reviewer
Principal Engineer at a tech services company with 1,001-5,000 employees
Good at handling replication, provides cross-database replication but SAP can provide better support for cross-database replication to newer technologies
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 replicate their data from Sybase to a newer technology for data warehousing or other purposes, it would be better if they supported those.

Quotes from Members

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

Pros

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."
"I enjoy the ease of use for the backend JSON generator, the deployment solution, and the template management."
"The overall performance is quite good."
"Powerful but easy-to-use and intuitive."
"Its integrability with the rest of the activities on Azure is most valuable."
"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 the basic features like the data-based pipelines."
"The data copy template is a valuable feature, and with the pipeline template, it takes only a few clicks for the on-premises data to come in."
"This product has a catalog with the location of all the objects which were replicated, and it's very simple to maintain."
"Currently, there is a Hadoop-based infrastructure with several engineers to maintain the data, and now, using SAP Replication Server, it has become automatic and requires fewer people to put data in the data warehouse."
"The most valuable thing about this product is that it replicates data between SAP databases (ASE to IQ) very successfully."
"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."
"We can customize any workflow and we also like the business domain modeling that can be done."
"We use this solution for all kinds of communications like RFC, BAPI, IDoc, connecting with the orders, accounts, finance, data stuff, banking, everything."
"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."
 

Cons

"When the record fails, it's tough to identify and log."
"You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats."
"Data Factory's monitorability could be better."
"The stability of Azure as a PaaS could be improved."
"Data Factory's cost is too high."
"I have encountered a problem with the integration with third-party solutions, particularly with SAP."
"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."
"When we initiated the cluster, it took some time to start the process."
"It's a very expensive solution."
"It's complex. It's necessary to understand a little about infrastructure, like network LAN and VLAN environment."
"There is a need to improve performance in high transactional processes."
"I would like to see it become mobile-friendly."
"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."
"Setup was a little complex."
"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

"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 is cheap."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"The licensing is a pay-as-you-go model, where you pay for what you consume."
"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."
"Understanding the pricing model for Data Factory is quite complex."
"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
11%
Manufacturing Company
9%
Computer Software Company
8%
Construction Company
7%
Construction Company
22%
Outsourcing Company
10%
Financial Services Firm
10%
Comms Service Provider
10%
 

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 Business2
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

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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...
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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: September 2026.
915,341 professionals have used our research since 2012.