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SAP Business Data Cloud vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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
18th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
72
Ranking in other categories
BI (Business Intelligence) Tools (5th), Cloud Analytics (2nd), Predictive Analytics (3rd), Data Governance (11th), Cloud Data Warehouse (12th)
Spring Cloud Data Flow
Ranking in Data Integration
23rd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (10th)
 

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 features that I have found most valuable with SAP ERP products are their good user interface, stability, functionality, and good interface options."
"SAP Analytics Cloud is easy to create charts with, and is a stable business intelligence platform. Easy to set up solution."
"I like the product's capabilities; the clarity and scenarios are the main features that allow us to forecast using machine learning algorithms and make decisions."
"We use it for all our reporting right now, everything is happening in SAP, and all dashboards are there, and all data comes through in real-time."
"We use this solution for real-time dashboards, modeling data and for predictive analytics."
"The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool, and because they are, you don't have to buy another tool to make planning, you don't have to buy another tool to implement prediction."
"What my customers like best about SAP Analytics Cloud is the dashboard because it's pretty good."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"The product is very user-friendly."
"The most valuable feature is real-time streaming."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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."
"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 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."
 

Cons

"SAC, which is the cloud version, lost some good features from the previous planning product, like BPC or BPS."
"It is slightly behind other tools in terms of the number of graphical outputs."
"They need more support for more languages, Python for example."
"We need to know that we are using the latest and greatest, and SAP appears as if it has lost some credit in the market.​"
"Technical support could be more helpful and responsive."
"The general management of this solution could be improved. The graphics or icons could also be improved to allow them to integrate with other environments on the web."
"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."
"The main area that needs improvement is visualization."
"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."
"The visual user interface could use some help; it needs improvement."
"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 documentation on offer is not that good."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"The solution's community support could be improved."
 

Pricing and Cost Advice

"It's not that costly as such for the time being."
"It's quite expensive and costs a lot to maintain, especially with licensing."
"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."
"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."
"This solution offers value for money and you get what you pay for."
"Its price is slightly on the higher side."
"The product is expensive."
"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
Manufacturing Company
17%
Financial Services Firm
8%
Retailer
7%
Computer Software Company
6%
Financial Services Firm
17%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise13
Large Enterprise39
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 do you like most about SAP Analytics Cloud?
In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.
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 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
No data available
 

Overview

 

Sample Customers

Live Oak Bank
Information Not Available
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