Azure Data Factory vs SAP Replication Server comparison

Why PeerSpot?

Microsoft and SAP are both solutions in the Data Integration category. Microsoft is ranked #6 with an average rating of 8.0, while SAP is ranked #56. Microsoft holds a 2.2% mindshare in DI, compared to SAP’s 1.0% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

16,078 Views
11,255 Comparison Views

92% willing to recommend

SAP Replication Server

Read 7 SAP Replication Server reviews

4,592 Views
2,526 Comparison Views

100% willing to recommend

Azure Data Factory

SAP Replication Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAP Replication Server and Azure Data Factory compete in the data management category. Azure Data Factory holds the advantage due to its advanced features and cost-effectiveness.

Features: SAP Replication Server is known for real-time data replication, high availability, and cross-database replication. Azure Data Factory supports broad integration capabilities, offers a user-friendly interface, and includes built-in connectors for over 100 data sources.

Room for Improvement: SAP Replication Server needs improvements in cloud integration, user interface modernization, and scalability options for cloud environments. Azure Data Factory could enhance its monitoring capabilities, streamline its debugging features, and improve flexibility in complex scenarios.

Ease of Deployment and Customer Service: SAP Replication Server provides robust deployment for on-premise settings with specialized assistance. Azure Data Factory simplifies cloud deployment with extensive Azure cloud platform documentation and strong community support.

Pricing and ROI: SAP Replication Server involves high initial setup costs, fitting enterprises with significant replication needs and ensuring good ROI in those cases. Azure Data Factory's flexible and scalable pricing models offer a higher perceived ROI due to lower initial investments.

To learn more, read our detailed Azure Data Factory vs. SAP Replication Server Report (Updated: November 2026).

Buyer's Guide

Azure Data Factory vs. SAP Replication Server

November 2026

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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

Ranking in other categories

Cloud Data Warehouse (8th)

SAP Replication Server

Ranking in Data Integration

56th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Database Development and Management (21st)

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 4.4% compared to the previous year. The mindshare of SAP Replication Server is 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
SAP Replication Server	1.0%
Other	96.8%

Data Integration

Featured Reviews

Kunal Das

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.

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GagandeepSingh3

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.

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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 best part of this product is the extraction, transformation, and load."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"Synapse was the better choice for us to implement, as it has a lot of out-of-the-box connectors that we can utilize for data transformation and organization."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

"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 reason that we implemented this product is for the full integration with the whole Azure environment."

More Azure Data Factory pros

"SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."

"This product has a catalog with the location of all the objects which were replicated, and it's very simple to maintain."

"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."

"The most valuable thing about this product is that it replicates data between SAP databases (ASE to IQ) very successfully."

"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 use this solution for all kinds of communications like RFC, BAPI, IDoc, connecting with the orders, accounts, finance, data stuff, banking, everything."

"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."

"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."

More SAP Replication Server pros

Cons

"Some prebuilt data source or data connection aspects are generic."

"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"When we initiated the cluster, it took some time to start the process."

"I have encountered a problem with the integration with third-party solutions, particularly with SAP."

"DataStage is easier to learn than Data Factory because it's more visual."

"Understanding the pricing model for Data Factory is quite complex. It needs to be simplified, and easier to understand."

"Data Factory could be improved in terms of data transformations by adding more metadata extractions."

More Azure Data Factory cons

"There is room for improvement in terms of pricing and faster support."

"I would like to see it become mobile-friendly."

"It's complex. It's necessary to understand a little about infrastructure, like network LAN and VLAN environment."

"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."

"There is a need to improve performance in high transactional processes."

"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."

More SAP Replication Server cons

Pricing and Cost Advice

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"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."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"The cost is based on the amount of data sets that we are ingesting."

"Data Factory is affordable."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"Data Factory is expensive."

More Azure Data Factory pricing and cost advice

"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

Manufacturing Company

11%

Financial Services Firm

10%

Outsourcing Company

Computer Software Company

Construction Company

20%

Comms Service Provider

14%

Outsourcing Company

10%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	5

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.

See all answers

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...

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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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Comparisons

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Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

Database Development and Management

October 2026

Download SAP Replication Server product report

Also Known As

No data available

Sybase Replication Server

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

SAP Replication Server offers enhanced data replication for SAP databases with customizable workflows, real-time updates, improved efficiency, and seamless integration with external tools, catering to both private and hybrid cloud solutions.

SAP Replication Server facilitates effective cross-database replication, including Sybase to Oracle, while enhancing performance with reduced storage use. Despite its robust reliability and beginner-friendly setup, areas such as high transactional processing and cross-database integration to newer technologies require improvement. Integration with HANA and addressing high private instance costs are necessary. The platform supports heterogeneous database communication and is a valuable asset in finance, banking, and analytics across platforms like AWS, Azure, and IBM.

What features does SAP Replication Server offer?

Customizable Workflows: Tailor workflows to meet business domain modeling needs.
Real-Time Replication: Ensure database updates are replicated instantly.
Cross-Database Support: Facilitate data movement between Sybase, Oracle, and more.
Warm Standby: Allows seamless read/write access during failover.
Easy Setup: Access beginner-friendly setup with comprehensive online resources.

What benefits should users consider?

Cost Efficiency: Reduces storage needs and enhances performance.
Robust Reliability: Ensures dependable data replication processes.
Cross-Platform Integration: Works well with modern platforms for a diverse tech stack.
Business Continuity: Maintains operations with features like Warm Standby.

Organizations in data analytics, finance, and banking sectors utilize SAP Replication Server to streamline database replication and communication, optimizing processes across AWS, Azure, and IBM. Employee data replication for payroll and business management is simplified, supporting hybrid cloud deployments.

SAP

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

Buyer's Guide

Azure Data Factory vs. SAP Replication Server

November 2026

Free Report: Azure Data Factory vs. SAP Replication Server

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