SAP Business Data Cloud vs Spring Cloud Data Flow comparison

SAP Business Data Cloud vs. Spring Cloud Data Flow

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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 Business Data Cloud

Ranking in Data Integration

10th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (3rd), Business Performance Management (3rd), Cloud Analytics (2nd), Predictive Analytics (2nd), Data Governance (9th), Cloud Data Warehouse (10th)

Spring Cloud Data Flow

Ranking in Data Integration

30th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (16th)

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of SAP Business Data Cloud is 0.9%, up from 0.2% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SAP Business Data Cloud	0.9%
Spring Cloud Data Flow	1.1%
Other	98.0%

Data Integration

Featured Reviews

Pavlina Pankova

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"I would advise anyone looking into SAP Analytics Cloud to go for it."

"The stories have really been helpful in looking at specific scenarios and analyzing trends over periods of time."

"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."

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

"Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage."

"We use this solution for real-time dashboards, modeling data and for predictive analytics."

"We switched to SAP Analytics Cloud primarily for the planning, development, and the user-friendliness."

"The visualizations have been the most valuable feature."

More SAP Business Data Cloud pros

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

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

"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."

More Spring Cloud Data Flow pros

Cons

"I think it would be easier if there was another module created to retrieve only data."

"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."

"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."

"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."

"When it comes to planning there is a concern about the ability to match the exact requirements of the customer with what the product offers."

"Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high."

"The technology used by the tool is old, making it an area where improvements are required."

"SAP could add some more visualization features to Analytics Cloud, like charts and analytics. I would also like to see some more data cleaning and ad hoc functions added to this solution."

More SAP Business Data Cloud cons

"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."

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

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

"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."

"The documentation on offer is not that good."

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

"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."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."

"It is an expensive solution."

"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."

"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."

"SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower."

"The pricing is based on an annual license and is rated a four out of ten."

"The price is competitive. There is a power user license and normal user license, but the normal user license is reasonable."

"The platform is about 50% more expensive than Power BI."

More SAP Business Data Cloud pricing and cost advice

"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."

"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."

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Top Industries

By visitors reading reviews

Manufacturing Company

16%

Financial Services Firm

Construction Company

Retailer

Financial Services Firm

18%

Computer Software Company

11%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	19
Large Enterprise	51

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

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...

SAP BusinessObjects Business Intelligence vs SAP Business Data Cloud

Comparisons

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Compared 5% of the time

Microsoft Power BI vs SAP Business Data Cloud

Compared 4% of the time

Anaplan vs SAP Business Data Cloud

Compared 4% of the time

IBM Planning Analytics vs SAP Business Data Cloud

Compared 3% of the time

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Compared 13% of the time

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Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 4% of the time

WSO2 Enterprise Integrator vs Spring Cloud Data Flow

Compared 4% of the time

Apache Kafka vs Spring Cloud Data Flow

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Product Reports

SAP Business Data Cloud

Download SAP Business Data Cloud product report

Spring Cloud Data Flow

Download Spring Cloud Data Flow product report

Also Known As

SAP Analytics Cloud, SAP Digital Boardroom, SAP Analytics Hub

No data available

Overview

SAP Business Data Cloud provides cloud-based predictive analysis, robust visualization, and integrated planning capabilities with seamless SAP integration. It enhances analytics and reporting efficiency with machine learning and AI features.

SAP Business Data Cloud stands out with its user-friendly application design, leveraging TypeScript scripting for flexibility. It enables easy data integration, customizable dashboards, and collaborative planning. Renowned for its seamless connectivity and comprehensive business intelligence offerings, it is designed to support real-time analytics and planning across both on-prem and cloud environments. Improvements are anticipated in visualization features, connectivity, and third-party system integration, with calls for more customizable chart options and real-time reporting capabilities.

What are the most important features of SAP Business Data Cloud?

Cloud-Based Predictive Analysis: Offers advanced forecasting and trend prediction capabilities.
Robust Visualization: Enables dynamic and interactive data visualization tools.
Integrated Planning: Provides tools for strategic planning and collaboration.
Flexibility with TypeScript: Allows customization and tailored application design.
Seamless Integration: Easily integrates with other SAP products and additional data sources.
AI and Machine Learning: Enhances analytics and reporting efficiency.

What benefits or ROI should users look for in SAP Business Data Cloud?

User-Friendly Interface: Simplifies data integration and application design.
Comprehensive Business Intelligence: Supports strategic decision-making processes.
Real-Time Analytics: Provides timely insights and enhances planning processes.
Collaborative Planning: Facilitates teamwork and strategic alignment.
Cost-Effective Solution: Offers value through efficient and diverse capabilities.

SAP Business Data Cloud serves industries by powering cloud-based reporting, analytics, financial planning, and executive dashboards. Companies utilize it to integrate SAP and non-SAP data sources for insights and forecasts. It is applied in constructing dashboards, boardroom presentations, budgeting, and predictive analytics, supporting versatile use cases across multiple sectors.

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

Live Oak Bank

Information Not Available

SAP Business Data Cloud vs. Spring Cloud Data Flow