Compare SAP Data Services vs. Spring Cloud Data Flow
 | Anonymous User Manager of Customer Care Center at a construction company |
Find out what your peers are saying about SAP Data Services vs. Spring Cloud Data Flow and other solutions. Updated: May 2021.
502,104 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The logic is also simple. It makes it easy to build your extraction."
"The fact that it's built on SQL, it makes it easy to write code. The database and the connection are quite smooth."
"The user interface is ok."
"It is a powerful product with a broad range of features."
"The HANA database, which is very fast, is a valuable feature."
"The reporting on the data, even from third-party software, is very good."
"The maintenance of data services is the solution's most valuable feature."
"The most valuable feature is the logging capability."
"The most valuable feature is real-time streaming."
"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."
Cons
"Scheduling of jobs in the sequence is not available. It's a very tedious process to do that particular task. If there was a tool to schedule in the sequence that would be extremely helpful."
"The description of error messages isn't extensive, although they point to the problem. With other solutions, like Talend, I was able to use the debugger to get directly to the problem, but with SAP Data Services the debugger is not working. I'm not sure if it's a problem with the version specifically, but I'm using it in an enterprise environment and I can't do an upgrade."
"The initial setup is complex."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"Integration with other products could be improved."
"The solution should offer more machine learning and automation."
"The pricing of the solution should be improved."
"The interface is not quite user-friendly and is in need of improvement."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Pricing is good, there is no problem."
"The pricing is a little high to make the product more competetive in the marketplace."
"Its pricing is as per the enterprise agreement and not a concern for us."
"The price is very reasonable."
"This is an open-source product that can be used free of charge."
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Top Answer: The most valuable feature is the ETL functionality.
Top Answer: The price is very reasonable.
Top Answer: Dealing with the REST API is not easy with Data Services. It is mandatory to have a WADL file and it is difficult to find this file and set it up. I would like to see a better connection with the API… more »
Top Answer: The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation. The documentation on offer is not that… more »
Top Answer: Mostly the use cases are related to building a data pipeline. There are multiple microservices that are working in the Spring Cloud Data Flow infrastructure, and we are building a data pipeline… more »
Top Answer: While the deployment is on-premises, the data center is not on-premises. It's in a different geographical location, however, it was the client's own data center. We deployed there, and we installed… more »
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11,597
Comparisons
8,963
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11
Average Words per Review
504
Rating
7.6
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5,625
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2
Average Words per Review
1,101
Rating
8.0
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SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these enterprise-class solutions enable data integration and data quality, providing the right level of insight across your business so you can make better decisions and operate more effectively.
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.
Learn more about SAP Data Services
Learn more about Spring Cloud Data Flow
EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
Information Not Available
Manufacturing Company27%
Religious Institution9%
Comms Service Provider9%
University9%
Computer Software Company35%
Comms Service Provider17%
Energy/Utilities Company7%
Manufacturing Company7%
Computer Software Company29%
Financial Services Firm15%
Comms Service Provider13%
Retailer6%
Small Business11%
Midsize Enterprise11%
Large Enterprise78%
No Data Available
Find out what your peers are saying about SAP Data Services vs. Spring Cloud Data Flow and other solutions. Updated: May 2021.
502,104 professionals have used our research since 2012.
SAP Data Services is ranked 7th in Data Integration Tools with 12 reviews while Spring Cloud Data Flow is ranked 18th in Data Integration Tools with 2 reviews. SAP Data Services is rated 7.6, while Spring Cloud Data Flow is rated 8.0. The top reviewer of SAP Data Services writes "Helps us to collect and analyze data and has enabled us to increase our product line ". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". SAP Data Services is most compared with Azure Data Factory, Palantir Foundry, Informatica PowerCenter, SSIS and IBM InfoSphere DataStage, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, Apache Spark Streaming, Mule Anypoint Platform and TIBCO BusinessWorks. See our SAP Data Services vs. Spring Cloud Data Flow report.
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We monitor all Data Integration Tools 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.