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SAP Data Services vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

SAP Data Services
Ranking in Data Integration
10th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
48
Ranking in other categories
Data Quality (2nd)
Spring Cloud Data Flow
Ranking in Data Integration
24th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (9th)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of SAP Data Services is 2.4%, down from 2.9% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

RambabuMandala - PeerSpot reviewer
Responsive support, scalable, and beneficial integration
The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept. There are a lot of SAP applications and they have good integration with SAP packages. In the next release, they should be more advanced cloud functionalities and web services. More integration with other applications including SAPs and other applications. They should not switch to a complete solution but provide better integration with other applications.
NitinGoyal - PeerSpot reviewer
Has a plug-and-play model and provides good robustness and scalability
The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

Quotes from Members

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

Pros

"The logic is also simple. It makes it easy to build your extraction."
"Data Services' best features are its robustness and plug-and-play integration with other SAP applications."
"The most valuable features of SAP Data Services lie in its ability to effectively observe and interpret the information within data related to people or facts, stands out."
"The initial setup is not complex."
"The most valuable feature of SAP Data Services is the integration with data sources."
"The HANA database, which is very fast, is a valuable feature."
"The product's most valuable features are data validation and rules."
"The BA reporting tools, such as Data Services, and ETL tool in SAP Data Services are the most valuable. When we had in-memory requirements, we used HANA. HANA is most preferably for most the customers for in-memory. SAP is the first company that created the in-memory concept."
"The product is very user-friendly."
"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."
"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 dashboards in Spring Cloud Dataflow are quite valuable."
"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."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."
 

Cons

"The initial setup is complex."
"An area for improvement in SAP Data Services could involve making the product more accessible to non-technical end-users."
"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."
"Newer feature integration is lagging behind the company acquisitions and the product could do more to service a broader range of devices."
"I want some more business intelligence applications. People need to know more and more about data, including the transformation rules, etc. Informatica is a better product for data cataloging. SAP should update the data catalog."
"The solution could improve the overall features. There is a lot that can be done in the solution, therefor there are areas where it can improve. Additionally, there is a need to make it easier for one to create connections to other non-SAP systems. The flexibility to connect to other non-SAP systems is needed."
"The migration of the solution between different environments is quite complex."
"The pricing of the solution should be improved."
"I would improve the dashboard features as they are not very user-friendly."
"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."
"The solution's community support could be improved."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
 

Pricing and Cost Advice

"Pricing is good, there is no problem."
"The price of SAP Data Services is a little high when compared to other solutions. Due to the pricing and capabilities, many clients are switching to other solutions."
"Its pricing is as per the enterprise agreement and not a concern for us."
"It's relatively expensive compared to other vendors, but it is competitive."
"The enterprise version of SAP Data Services is free."
"The product’s on-premise version is expensive for a medium-sized company."
"I rate the product price as one or two on a scale of one to ten, where one is a low price, and ten is a high price."
"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."
"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."
"This is an open-source product that can be used free of charge."
"The solution provides value for money, and we are currently using its community edition."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Computer Software Company
12%
Financial Services Firm
8%
Government
8%
Financial Services Firm
26%
Computer Software Company
17%
Retailer
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you evaluate the ratio of price to quality for SAP Data Services?
I believe the license for the product is fair, even though some competitors offer similar services at lower prices. The difference between the Edge edition and the next one up is significant in pr...
Would you recommend SAP Data Services to complete beginners?
I think after some preparation, a beginner will be able to use SAP Data Services, however, if you are completely unprepared, you may have some issues. I think that in particular you will need a mo...
How has SAP Data Services helped your organization?
SAP Data Services has helped our whole staff understand the data across various sources and systems within the company. Not everyone who works at my organization is an IT expert - most just have av...
What needs improvement with Spring Cloud Data Flow?
There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...
What is your primary use case for Spring Cloud Data Flow?
We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...
What advice do you have for others considering Spring Cloud Data Flow?
I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...
 

Also Known As

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator
No data available
 

Overview

 

Sample Customers

EMC Corporation, LivePerson, Eldorado, Mozzart, The VELUX Group, AOK Bundesverband, Hilti Group, Nissha Printing Company Ltd., Asian Paints, Aareal Bank Group, Migros Group
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