SAP Analytics Hub vs Spring Cloud Data Flow comparison

SAP and Broadcom are both solutions in the Data Integration category. SAP is ranked #49 with an average rating of 6.0, while Broadcom is ranked #22 with an average rating of 7.8. SAP holds a 0.4% mindshare in DI, compared to Broadcom’s 1.2% mindshare. Additionally, 71% of SAP users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

SAP Analytics Hub

Read 8 SAP Analytics Hub reviews

908 Views
281 Comparison Views

71% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

2,991 Views
1,286 Comparison Views

88% willing to recommend

SAP Analytics Hub

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

SAP Analytics Hub and Spring Cloud Data Flow compete in data analysis and management. Spring Cloud Data Flow has an upper hand due to its broader data processing features, suitable for comprehensive solutions.

Features: SAP Analytics Hub facilitates integration with SAP ERP data, ensuring data consistency and easy integration with other SAP products. It also provides powerful report scheduling and a user-friendly interface for data management. Spring Cloud Data Flow offers a graphical environment for stream visualization, real-time streaming capabilities, and robust orchestration of microservices, supporting dynamic workflows and integration with tools like Kafka.

Room for Improvement: SAP Analytics Hub could enhance its batch processing capabilities and expand its real-time data processing features. Additional support for non-SAP ecosystems and improved flexibility in customization could also be beneficial. Spring Cloud Data Flow may improve its deployment ease to accommodate less technical users and offer more structured customer support. Enhancements in batch processing integration and additional user interface refinement are also areas to consider.

Ease of Deployment and Customer Service: SAP Analytics Hub is easy to deploy within the SAP ecosystem and benefits from reliable customer support. It integrates seamlessly with SAP systems, making implementation straightforward. Spring Cloud Data Flow, while offering greater customization, requires more technical knowledge for deployment. Its community-driven support is active but less immediate compared to SAP’s structured support services.

Pricing and ROI: SAP Analytics Hub has a structured pricing model, potentially leading to higher initial costs, with the promise of greater ROI through advanced capabilities. Spring Cloud Data Flow, due to its open-source nature, offers lower initial costs and high ROI for tailored solutions, although expenses may increase with customizations and necessary resources.

To learn more, read our detailed SAP Analytics Hub vs. Spring Cloud Data Flow Report (Updated: November 2025).

Buyer's Guide

SAP Analytics Hub vs. Spring Cloud Data Flow

November 2025

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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 Analytics Hub

Ranking in Data Integration

49th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (30th)

Spring Cloud Data Flow

Ranking in Data Integration

22nd

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (10th)

Mindshare comparison

As of November 2025, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.4%, up from 0.1% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.2%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Spring Cloud Data Flow	1.2%
SAP Analytics Hub	0.4%
Other	98.4%

Data Integration

Featured Reviews

Nitesh Agrawal

Director & Co-Owner at InfraBeat Technologies Pvt. Ltd.

Integration and security have improved, but search functionality and clarity of future direction need enhancement

The search function in SAP Analytics Hub is not effective. When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics Hub. Nowadays, we are using the Data Sphere integrators available with Amazon, Azure, and Google Cloud. The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that.

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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

"This product provides good reports using a single pane of glass."

"SAP Analytics Hub offers a user-friendly interface with effortless configuration, seamless updates, and real-time availability of information. It avoids the complexities associated with batch processing, providing a smooth and efficient experience."

"What I like best about this solution is that it is built into the SAP line, making it easier to integrate with other SAP products."

"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."

"For report scheduling, I always prefer SAP because it has the most powerful scheduling features, like sending reports to more than 1,000 customers per day. That option is not as good in Microsoft BI and in Tableau it only exists as an add-on option."

"The platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."

"As a partner, I can mention something positive about SAP Analytics Hub: its products are tightly integrated, so the business context of data is retained in the analytics solution, and that's the main advantage."

"The product is very user-friendly."

"The dashboards in Spring Cloud Dataflow are quite valuable."

"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."

"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 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 feature is real-time streaming."

"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."

Cons

"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."

"Pricing and support are integrated into the system. However, the support process can be challenging, particularly when navigating the SAP support site, which lacks user-friendliness and ease of access."

"The search capability could be better, and SAP needs to come out with a clear roadmap for the solution going ahead, as they have not yet provided that."

"The technical support for Analytics Hub is limited and could be improved."

"The analytics part of SAP has not been that good up until now. They're still in the infant stage and development is still going on. SAP has some cloud analytics and they're trying to configure it in Lumira, but it's not that good at this point."

"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."

"The interface can be simplified because it is not a user-friendly experience."

"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 configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"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."

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

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

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

"The solution's community support could be improved."

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

Pricing and Cost Advice

"The pricing is reasonable."

"The product is expensive."

"It is an expensive solution."

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."

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

"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."

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Top Industries

By visitors reading reviews

Energy/Utilities Company

10%

Manufacturing Company

10%

Financial Services Firm

Healthcare Company

Financial Services Firm

24%

Computer Software Company

14%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	3
Large Enterprise	3

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

Questions from the Community

What is your experience regarding pricing and costs for SAP Analytics Hub?

The product is expensive. The cost starts from $1,000,000 per year. Moreover, there are additional costs involved for customization.

See all answers

What needs improvement with SAP Analytics Hub?

See all answers

What advice do you have for others considering SAP Analytics Hub?

When speaking about integration with various analytic sources, for example, if I wanted to send the data from SAP BW or B4HANA to a data lake, we used to earlier use the Open Data Hub or Analytics ...

See all answers

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...

See all answers

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

SAP Analytics Cloud vs SAP Analytics Hub

Compared 34% of the time

SAS Access vs SAP Analytics Hub

Compared 22% of the time

Microsoft Power BI vs SAP Analytics Hub

Compared 22% of the time

Informatica PowerCenter vs SAP Analytics Hub

Compared 21% of the time

More SAP Analytics Hub Competitors

Apache Flink vs Spring Cloud Data Flow

Compared 36% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 8% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 6% of the time

Apache Kafka vs Spring Cloud Data Flow

Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

SAP Analytics Hub

October 2025

Download SAP Analytics Hub product report

Buyer's Guide

Spring Cloud Data Flow

October 2025

Download Spring Cloud Data Flow product report

Overview

SAP Analytics Hub simplifies access to analytics scattered across multiple heterogeneous environments. The solution recommends the best analytics to fit personalized needs and grants users with actionable insights without compromising agility.

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

STIB-MIVB

Information Not Available

Buyer's Guide

SAP Analytics Hub vs. Spring Cloud Data Flow

November 2025

Free Report: SAP Analytics Hub vs. Spring Cloud Data Flow

Find out what your peers are saying about SAP Analytics Hub vs. Spring Cloud Data Flow and other solutions. Updated: November 2025.

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