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SAP Business Data Cloud vs Spring Cloud Data Flow comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Apr 15, 2026

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 Business Data Cloud
Ranking in Data Integration
11th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
120
Ranking in other categories
BI (Business Intelligence) Tools (3rd), Business Performance Management (4th), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (10th), Cloud Data Warehouse (9th)
Spring Cloud Data Flow
Ranking in Data Integration
33rd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (17th)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of SAP Business Data Cloud is 1.2%, up from 0.4% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SAP Business Data Cloud1.2%
Spring Cloud Data Flow1.1%
Other97.7%
Data Integration
 

Featured Reviews

Pavlina Pankova - PeerSpot reviewer
Competence Leader - BI at Sabris CZ s.r.o.
Brings reporting, planning, and prediction together in one seamless workflow
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.
NitinGoyal - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The reporting, dashboards, KPIs, and visualization are the most valuable."
"This product provides good reports using a single pane of glass."
"Data integration is very good."
"Real-time data makes for a single version of the truth."
"As a partner, I believe the biggest advantage in the product is that SAP context is maintained."
"We use this solution for real-time dashboards, modeling data and for predictive analytics."
"There is a lot of seamless integration and you can avoid a lot of licensing costs."
"The best features of SAP Business Data Cloud include a very important capability that allows data sharing without moving data, which is a very useful option."
"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 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."
"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."
"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."
"The product is very user-friendly."
 

Cons

"There should be more features for the time series charts."
"Data intelligent, data flow, and data pipeline are all very much more expensive now."
"An area for improvement in SAP Analytics Cloud is its planning feature because it's not that efficient when compared to BPC. Another area for improvement in the solution is the difficulty in building reports or dashboards, particularly if you don't have proper knowledge of the BI system. SAP Analytics Cloud technical support also needs improvement."
"It's actually a bit difficult at the moment to explain to the clients all the benefits of SAP Business Data Cloud."
"AI doesn't work as well with SAP live connections."
"I would like to see improved support for third-party systems, lower cost of acquisition, and better graphics and interface design."
"Faster implementation of new functions for the new product is an area of improvement in SAP Analytics Hub."
"Though it's the best placed product when working with an SAP BW backend, it still lacks a lot of functionalities when compared to other tools such as Power BI or Tableau."
"The visual user interface could use some help; it needs improvement."
"The documentation on offer is not that good."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"I would improve the dashboard features as they are not very user-friendly."
"The solution's community support could be improved."
 

Pricing and Cost Advice

"It Wasn't directly involved in the pricing discussions, but when I joined the organization, they had already purchased the SAP Analytics Cloud solution. The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users."
"The price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."
"The tool's pricing is medium, and licensing costs are yearly."
"The pricing is based on an annual license and is rated a four out of ten."
"Its price is slightly on the higher side."
"It's not that costly as such for the time being."
"Compute and storage features should be sold separately."
"I don't have the exact price for SAP Analytics Cloud, but it could be improved and made cheaper, especially when compared to Power BI."
"This is an open-source product that can be used free of charge."
"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."
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Top Industries

By visitors reading reviews
Media Company
13%
Outsourcing Company
13%
Manufacturing Company
11%
Construction Company
7%
Financial Services Firm
15%
Outsourcing Company
9%
Computer Software Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business47
Midsize Enterprise22
Large Enterprise79
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
What is your experience regarding pricing and costs for SAP Analytics Cloud?
I normally do not deal with the commercials, so I am not aware of the pricing part of it.
What needs improvement with SAP Analytics Cloud?
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a c...
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 Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub
No data available
 

Overview

 

Sample Customers

Ericsson, Vodafone, Google, Team Liquid, Ryder Cup, Accenture
Information Not Available
Find out what your peers are saying about SAP Business Data Cloud vs. Spring Cloud Data Flow and other solutions. Updated: November 2026.
920,929 professionals have used our research since 2012.