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SAP Analytics Hub vs Spring Cloud Data Flow comparison

SAP and VMware are both solutions in the Data Integration category. SAP is ranked #51 with an average rating of 5.0, while VMware is ranked #21 with an average rating of 7.8. SAP holds a 0.3% mindshare in DI, compared to VMware’s 1.2% mindshare. Additionally, 71% of SAP users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.
SAP Analytics Hub
Read 8 SAP Analytics Hub reviews
  • 790 Views
  • 213 Comparison Views
71% willing to recommend
Spring Cloud Data Flow
Read 9 Spring Cloud Data Flow reviews
  • 3,168 Views
  • 1,299 Comparison Views
88% willing to recommend
 

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.

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Buyer's Guide
SAP Analytics Hub vs. Spring Cloud Data Flow
September 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
51st
Average Rating
7.2
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (31st)
Spring Cloud Data Flow
Ranking in Data Integration
21st
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (9th)
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of SAP Analytics Hub is 0.3%, up from 0.1% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Spring Cloud Data Flow1.2%
SAP Analytics Hub0.3%
Other98.5%
Data Integration
 

Featured Reviews

Nitesh Agrawal - PeerSpot reviewer
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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Alokik Gupta - PeerSpot reviewer
Effective microservice and task management but needs more dashboard features
The dashboards in Spring Cloud Dataflow are quite valuable. By injecting the dependency of Spring Cloud Dataflow into our Spring Boot application and annotating it with 'enable task annotation', we can manage tasks effectively. Additionally, the platform allows us to create pipelines and use microservices like a logical AND gate, giving us greater control over our microservices.
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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

"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 platform's main benefit is its integration with SAP ERP data. It’s effective for data integration and integrity."
"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."
"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."
"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."
"This product provides good reports using a single pane of glass."
"Data consistency is also a notable feature; the system takes care of data consistency, so you don't need to handle it manually."
"The most valuable feature is real-time streaming."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 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 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."
"The product is very user-friendly."
 

Cons

"The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space."
"The technical support for Analytics Hub is limited and could be improved."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"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 interface can be simplified because it is not a user-friendly experience."
"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."
"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."
"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."
"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 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 is not an easy-to-use tool, so improvements are required."
"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."
 

Pricing and Cost Advice

"They are pursuing a highly assertive approach to target businesses of all sizes within the industry."
"The product is expensive."
"The pricing is reasonable."
"It is an expensive solution."
"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
Energy/Utilities Company
10%
Manufacturing Company
10%
Financial Services Firm
8%
Healthcare Company
8%
Financial Services Firm
24%
Computer Software Company
17%
Retailer
7%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise3
Large Enterprise3
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

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?
The platform could easily integrate with other ERP data solutions. Additionally, it should be faster compared to competitors in the cloud space.
See all answers
What advice do you have for others considering SAP Analytics Hub?
I advise others to be aware of the total ownership cost of the product for the next three to five years. I rate it a seven out of ten.
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 Logo
SAP Analytics Cloud vs SAP Analytics Hub
Compared 40% of the time
Informatica PowerCenter vs SAP Analytics Hub Logo
Informatica PowerCenter vs SAP Analytics Hub
Compared 33% of the time
Microsoft Power BI vs SAP Analytics Hub Logo
Microsoft Power BI vs SAP Analytics Hub
Compared 28% of the time
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Apache Flink vs Spring Cloud Data Flow Logo
Apache Flink vs Spring Cloud Data Flow
Compared 39% of the time
TIBCO BusinessWorks vs Spring Cloud Data Flow Logo
TIBCO BusinessWorks vs Spring Cloud Data Flow
Compared 10% of the time
MuleSoft Anypoint Platform vs Spring Cloud Data Flow Logo
MuleSoft Anypoint Platform vs Spring Cloud Data Flow
Compared 6% of the time
Apache Spark Streaming vs Spring Cloud Data Flow Logo
Apache Spark Streaming vs Spring Cloud Data Flow
Compared 6% of the time
Google Cloud Dataflow vs Spring Cloud Data Flow Logo
Google Cloud Dataflow vs Spring Cloud Data Flow
Compared 5% of the time
More Spring Cloud Data Flow Competitors
 

Product Reports

Buyer's Guide
SAP Analytics Hub
August 2025
SAP Analytics Hub reportDownload SAP Analytics Hub product report
Buyer's Guide
Spring Cloud Data Flow
August 2025
Spring Cloud Data Flow reportDownload 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.

VMware
 

Sample Customers

STIB-MIVB
Information Not Available
Buyer's Guide
SAP Analytics Hub vs. Spring Cloud Data Flow
September 2025
Free Report: SAP Analytics Hub vs. Spring Cloud Data Flow
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