Azure Data Factory vs SAP Replication Server comparison

Microsoft and SAP are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.0, while SAP is ranked #33 with an average rating of 8.7. Microsoft holds a 11.1% mindshare in DI, compared to SAP’s 0.5% 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 86 Azure Data Factory reviews

23,087 Views
18,331 Comparison Views

92% willing to recommend

SAP Replication Server

Read 7 SAP Replication Server reviews

780 Views
685 Comparison Views

100% willing to recommend

Azure Data Factory

SAP Replication Server

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Azure Data Factory and SAP Replication Server based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. SAP Replication Server Report (Updated: October 2024).

Buyer's Guide

Azure Data Factory vs. SAP Replication Server

October 2024

Download the complete report

Helped 816,406 peers since 2012

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

SAP Replication Server

Ranking in Data Integration

33rd

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Database Development and Management (17th)

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.1%, down from 13.3% compared to the previous year. The mindshare of SAP Replication Server is 0.5%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Thulani David Mngadi

Data architect at Old Mutual

Data flow feature is valuable for data transformation tasks

The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.

Read full review

Imran Rafi

SAP HXM & Integration consultant at Kaar Technologies

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.

Read full review

Quotes from Members

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

Pros

"The most important feature is that it can help you do the multi-threading concepts."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"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."

"The solution has a good interface and the integration with GitHub is very useful."

"The most valuable feature is the ease in which you can create an ETL pipeline."

"The solution is okay."

"I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code."

More Azure Data Factory pros

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

"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."

"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."

Cons

"We have experienced some issues with the integration. This is an area that needs improvement."

"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."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"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."

"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."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

More Azure Data Factory cons

"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."

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

"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

"The licensing cost is included in the Synapse."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"The pricing model is based on usage and is not cheap."

"The pricing is a bit on the higher end."

"I would rate Data Factory's pricing nine out of ten."

"The solution's pricing is competitive."

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."

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Financial Services Firm

18%

Manufacturing Company

14%

Computer Software Company

Healthcare Company

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.

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...

See all answers

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...

See all answers

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.

See all answers

What is your experience regarding pricing and costs for SAP Replication Server?

It's a pretty good product and stable.

See all answers

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...

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

Qlik Replicate vs SAP Replication Server

Compared 52% of the time

Oracle GoldenGate vs SAP Replication Server

Compared 30% of the time

Fivetran vs SAP Replication Server

Compared 17% of the time

More SAP Replication Server Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Buyer's Guide

Database Development and Management

November 2024

Download SAP Replication Server product report

Also Known As

No data available

Sybase Replication Server

Learn More

Microsoft

Video not available

SAP

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.

Information and data-driven insight is what powers business today. But to get the most from your enterprise data, you need a way to bring transactional, streaming, social media, and other data together – regardless of its format and whether it’s structured or unstructured – and be able to analyze it. The challenge is moving, replicating, and centralizing a wide variety of data efficiently, cost-effectively, and quickly enough to meet business demands for active insight. SAP® Replication Server® can help. SAP Replication Server enables the continuous movement of mission-critical application data.

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

October 2024

Free Report: Azure Data Factory vs. SAP Replication Server

Find out what your peers are saying about Azure Data Factory vs. SAP Replication Server and other solutions. Updated: October 2024.

DOWNLOAD NOW

816,406 professionals have used our research since 2012.

See our Azure Data Factory vs. SAP Replication Server report.

See our list of best Data Integration vendors.

We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.