SAP Replication Server vs Spring Cloud Data Flow comparison

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951 views|853 comparisons
100% willing to recommend
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2,449 views|1,823 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between SAP Replication Server and Spring Cloud Data Flow based on real PeerSpot user reviews.

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To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""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.""SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."

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"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure.""The product is very user-friendly.""The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like.""The most valuable feature is real-time streaming."

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Cons
"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."

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"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required.""The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation.""Some of the features, like the monitoring tools, are not very mature and are still evolving.""Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."

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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 →

  • "This is an open-source product that can be used free of charge."
  • "If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."
  • More Spring Cloud Data Flow Pricing and Cost Advice →

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    Questions from the Community
    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.
    Top Answer:On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required. The online discussion forum for the tool should include possible questions… more »
    Top Answer:I used the solution for a payment platform we integrated with our organization. Our company had to use it since we had to integrate it with different payment platforms.
    Top Answer:Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial… more »
    Ranking
    27th
    out of 100 in Data Integration
    Views
    951
    Comparisons
    853
    Reviews
    2
    Average Words per Review
    659
    Rating
    9.5
    29th
    out of 100 in Data Integration
    Views
    2,449
    Comparisons
    1,823
    Reviews
    2
    Average Words per Review
    598
    Rating
    8.0
    Comparisons
    Also Known As
    Sybase Replication Server
    Learn More
    Overview

    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.

    Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
    Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

    Sample Customers
    Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Manufacturing Company13%
    Computer Software Company11%
    Energy/Utilities Company7%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company16%
    Manufacturing Company7%
    Retailer7%
    Company Size
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise9%
    Large Enterprise78%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    SAP Replication Server is ranked 27th in Data Integration with 6 reviews while Spring Cloud Data Flow is ranked 29th in Data Integration with 5 reviews. SAP Replication Server is rated 8.2, while Spring Cloud Data Flow is rated 8.0. 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". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". SAP Replication Server is most compared with Qlik Replicate, Oracle GoldenGate, Fivetran, Azure Data Factory and SSIS, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks.

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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.