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SAP Data Services vs Spring Cloud Data Flow comparison

SAP and Broadcom are both solutions in the Data Integration category. SAP is ranked #15 with an average rating of 8.4, while Broadcom is ranked #31 with an average rating of 8.0. SAP holds a 1.6% mindshare in DI, compared to Broadcom’s 1.0% mindshare. Additionally, 86% of SAP users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

SAP Data Services

Read 52 SAP Data Services reviews

7,873 Views
5,275 Comparison Views

86% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

5,078 Views
2,894 Comparison Views

88% willing to recommend

SAP Data Services

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

SAP Data Services and Spring Cloud Data Flow compete in the data integration and management category. SAP Data Services holds the advantage within SAP environments due to its robust range of features and integration capabilities.

Features: SAP Data Services offers robust data migration, ETL tools, and extensive connectivity options, particularly within SAP environments. It also includes exceptional data quality transforms. Spring Cloud Data Flow excels in microservice orchestration with plug-and-play capabilities and supports real-time streaming integration with platforms like Kafka and Kubernetes.

Room for Improvement: SAP Data Services needs better integration with non-SAP systems and flexibility in scheduling engines. Users find dynamic source configuration challenging. Spring Cloud Data Flow could improve its community support, user interface, and comprehensive documentation. Its monitoring and dashboard functionalities require further development.

Ease of Deployment and Customer Service: SAP Data Services mainly provides on-premises solutions with hybrid cloud capabilities. User experiences with SAP support vary, with some noting the need for priority calls for responsiveness. Spring Cloud Data Flow supports both on-premises and private cloud deployment, but requires improved documentation and support community.

Pricing and ROI: SAP Data Services is an enterprise-level product with a high price point due to its capabilities and licensing fees, providing a strong return on investment. Spring Cloud Data Flow, being open-source, is cost-effective for budget-restricted organizations, offering great value though support requires a paid agreement.

To learn more, read our detailed SAP Data Services vs. Spring Cloud Data Flow Report (Updated: September 2026).

Buyer's Guide

SAP Data Services vs. Spring Cloud Data Flow

September 2026

Download the complete report

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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

15th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Quality (4th)

Spring Cloud Data Flow

Ranking in Data Integration

31st

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (18th)

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of SAP Data Services is 1.6%, down from 1.8% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.0%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SAP Data Services	1.6%
Spring Cloud Data Flow	1.0%
Other	97.4%

Data Integration

Featured Reviews

Ramesh Pampana

Manager, SAP Practice at a computer software company with 1,001-5,000 employees

Has consistently provided impressive data handling capabilities and robust security features

Some of the most valuable features of SAP Data Services include data extraction where SAP is the best in that perspective, but when it comes to analytics or the reporting tool, I prefer to connect with Microsoft Power BI, which is a fantastic tool. Typically, from an end-user perspective, SAP has a huge amount of data, in terms of terabytes of data, but when you analyze that, the best form of visualization is always through Microsoft Power BI. SAP Data Services provides a best-in-class return on investment, as SAP's vision and forecast are absolutely amazing. They are ahead of technology, building an ecosystem that meets the standards of the fast-changing digital economy. SAP is indeed good at all this now, with so many components such as SAP Signavio, SAP EINS, SAP Work Zone, SAP ALM, Cloud ALM, SAP public cloud, SAP private cloud, and BTP, all of which are essential to meet the latest cutting-edge technologies.

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NitinGoyal

Engineering Lead at Naukri.com

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.

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Quotes from Members

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

Pros

"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."

"One of the most valuable features is that it is integrated."

"The logic is also simple. It makes it easy to build your extraction."

"SAP works well for the financial side of the business, but for anybody who is researching solutions for incident management, I suggest that they use another product."

"I like how SAP Data Services links reporting and data integration. That's what's most interesting. You also have the opportunity to leverage the power of the Data Services server."

"Data Services' table comparison mechanism is very powerful. It's pretty hard to find a similar feature in other solutions."

"The initial setup is not complex."

"Technical support from SAP is awesome. If we have an issue, they give a good solution."

More SAP Data Services pros

"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 dashboards in Spring Cloud Dataflow are quite valuable."

"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."

"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."

"Overall, Spring Cloud Data Flow is a really good solution and a lot cheaper than a lot of infrastructure provided by big companies like Google or Amazon."

"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."

"This product will assist us in saving costs in many ways: No longer need to continue paying high fees for proprietary software, reduce the number of software engineers needed to support the product, and achieve faster time to market by using this product for our middleware."

"The most valuable feature is real-time streaming."

More Spring Cloud Data Flow pros

Cons

"The solution should improve connectivity with more source systems and target systems."

"Address validation in SAP Data Services is chargeable and should be made free."

"There needs to be multi-language support, however, my understanding is they are working on multi-language now."

"The implementation was good from a technical perspective, but there were few flaws in the business logic which the third party consulting team should have gained from the in-house business analysts."

"Data Services SAP is lacking in sources and target databases compared to Informatica. SAP Data Services should have more connectivity."

"Technical Support: Needs improvement as far as responsiveness."

"The solution shows a lack of cloud support data services."

"I think it has a little trouble handling more users running parallel batch jobs in one job server but minimal."

More SAP Data Services cons

"I would improve the dashboard features as they are not very user-friendly."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"The documentation on offer is not that good."

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

"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 is not an easy-to-use tool, so improvements are required."

"The visual user interface could use some help; it needs improvement."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

"There is a one time purchase fee plus annual maintenance."

"The product’s on-premise version is expensive for a medium-sized company."

"The price is very reasonable."

"At the entry level, if you're using it only for data integration, it is a little bit cheap. However, for large organizations it can be expensive. There are additional costs apart from the license."

"Speaking about prices, Oracle and SAP are market leaders. So, the prices are more."

"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."

"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."

"It's relatively expensive compared to other vendors, but it is competitive."

More SAP Data Services pricing and cost advice

"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."

"The solution provides value for money, and we are currently using its community edition."

"This is an open-source product that can be used free of charge."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Construction Company

Retailer

Financial Services Firm

16%

Computer Software Company

10%

Outsourcing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	5
Large Enterprise	36

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

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...

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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...

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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...

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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...

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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...

See all answers

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...

See all answers

Comparisons

SSIS vs SAP Data Services

Compared 4% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Services

Compared 4% of the time

Informatica PowerCenter vs SAP Data Services

Compared 4% of the time

Syniti Data Quality vs SAP Data Services

Compared 3% of the time

Palantir Foundry vs SAP Data Services

Compared 3% of the time

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Apache Flink vs Spring Cloud Data Flow

Compared 7% of the time

TIBCO Spotfire vs Spring Cloud Data Flow

Compared 6% of the time

Cloudera DataFlow vs Spring Cloud Data Flow

Compared 5% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 4% of the time

StreamSets vs Spring Cloud Data Flow

Compared 4% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

SAP Data Services

September 2026

Download SAP Data Services product report

Buyer's Guide

Spring Cloud Data Flow

September 2026

Download Spring Cloud Data Flow product report

Also Known As

SAP BusinessObjects Data Services, SAP BusinessObjects Data Integrator, BusinessObjects Data Integrator

No data available

Overview

SAP Data Services is a comprehensive data integration and management tool known for its robust ETL functionality and seamless data quality management across SAP and non-SAP systems, providing flexibility and effective data handling.

SAP Data Services offers extensive integration capabilities with a range of systems, enabling efficient data migration, warehousing, and quality assurance. Despite challenges in connectivity, SQL optimization, and handling big data, it remains a top choice for data extraction and transformation. Its user-friendly interface and customization options enhance ease of use. The tool is recognized for scalability, performance, customer satisfaction, and supporting complex data transformations for improved analytics.

What are the key features of SAP Data Services?

Integration Capabilities: Facilitates seamless data handling between SAP and non-SAP systems.
Robust ETL Functionality: Enables effective extraction, transformation, and loading of data.
Seamless Data Quality Management: Maintains high standards of data integrity and quality.
Heterogeneous Data Processing: Supports diverse data environments for flexibility.
Powerful Data Transformation: Enhances reporting and analytics through complex transformations.

What benefits and ROI should be considered?

Scalability: Grows with business needs without compromising performance.
Performance: Efficient data processing and management for increased productivity.
Customer Satisfaction: High satisfaction levels due to reliability and performance.
Flexibility: Extensive customization options to suit diverse requirements.
Improved Analytics: Supports rich analytics through comprehensive data integration and transformation.

SAP Data Services is widely implemented across industries like banking, telecom, and manufacturing. Companies leverage it to integrate multiple data sources and manage migrations from legacy to modern platforms such as cloud environments and HANA architecture. It supports complex transformations essential for financial, operational, and business intelligence reporting, enhancing insights and decision-making.

SAP

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.

Broadcom

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

Information Not Available

Buyer's Guide

SAP Data Services vs. Spring Cloud Data Flow

September 2026

Free Report: SAP Data Services vs. Spring Cloud Data Flow

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