Azure Data Factory vs SAP Replication Server comparison

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26,170 views|20,469 comparisons
91% willing to recommend
SAP Logo
951 views|853 comparisons
100% willing to recommend
Comparison Buyer's Guide
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: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The trigger scheduling options are decently robust.""It is easy to integrate.""From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.""I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot.""On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good.""When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit.""We haven't had any issues connecting it to other products.""The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy."

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"We can customize any workflow and we also like the business domain modeling that can be done.""SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience.""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."

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Cons
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail.""When the record fails, it's tough to identify and log.""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.""We require Azure Data Factory to be able to connect to Google Analytics.""The tool’s workflow is not user-friendly. It should also improve its orchestration monitoring.""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.""The solution can be improved by decreasing the warmup time which currently can take up to five minutes.""It does not appear to be as rich as other ETL tools. It has very limited capabilities."

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"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.""There is room for improvement in terms of pricing and faster support.""I would like to see it become mobile-friendly.""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."

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Pricing and Cost Advice
  • "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."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • 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."
  • More SAP Replication Server Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer: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 and… more »
    Top Answer: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… more »
    Top Answer:SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience.
    Top Answer:The reason why there has been a move toward cloud services and service as a software is because it's so much easier. There are fewer databases, and the cost is lower to have it hosted. You can pick… more »
    Top Answer:The price could be cheaper. There is room for improvement in terms of pricing and faster support.
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    27th
    out of 100 in Data Integration
    Views
    951
    Comparisons
    853
    Reviews
    2
    Average Words per Review
    659
    Rating
    9.5
    Comparisons
    Also Known As
    Sybase Replication Server
    Learn More
    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
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Financial Services Firm8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company13%
    Computer Software Company11%
    Energy/Utilities Company7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Azure Data Factory vs. SAP Replication Server
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. SAP Replication Server and other solutions. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while SAP Replication Server is ranked 27th in Data Integration with 6 reviews. Azure Data Factory is rated 8.0, while SAP Replication Server is rated 8.2. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of SAP Replication Server writes "Eliminates replication and allows you to use only one database, speeding up performance and reducing amount of storage". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas SAP Replication Server is most compared with Qlik Replicate, Oracle GoldenGate, Fivetran, SSIS and SAP Data Services. See our Azure Data Factory vs. SAP Replication Server report.

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    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.