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Spring Cloud Data Flow vs WhereScape RED comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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

Spring Cloud Data Flow
Ranking in Data Integration
24th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (9th)
WhereScape RED
Ranking in Data Integration
48th
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
15
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. The mindshare of WhereScape RED is 1.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

NitinGoyal - PeerSpot reviewer
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.
it_user584544 - PeerSpot reviewer
The ​architecture is based on metadata and documentation is automated.
I would love to see a GUI interface for defining dependencies between build processes. RED provides a spreadsheet like interface for defining the dependencies between builds. Once the dependencies are defined, RED can produce a nice dependency diagram to give a visualization of the dependency tree. It would be easier to define complex dependency relationships if the dependency diagram were interactive. Our legacy ETL tool provided this GUI dependency definition via a drag and drop diagram which was very useful. The solution provided by WhereScape does work, and the dependency diagrams generated are helpful. It would just be nice to have the ability to define dependencies via a diagram, since dependencies relationships are much easier to understand via a diagram.

Quotes from Members

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

Pros

"The product is very user-friendly."
"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."
"The most valuable feature is real-time streaming."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"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 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 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."
"WhereScape RED has improved our business's ability to generate needed reporting without requiring a large team of developers to manually code all of the necessary plumbing."
"This is a fantastically robust DW tool that will make you at least 10 times faster in producing a DW."
"The most valuable feature is the metadata generated code."
"Support is absolutely excellent, efficient, and timely."
"WhereScape is really helpful in terms of architecture data. Everything is one of automation. Two people can do thousands of tables in one day or two. It saves a lot of time."
"Data transformations and rollups are easy to accomplish."
"RED has provided us the ability to integrate, stage, and transform data from diverse sources into an enterprise-grade data warehouse which meets the needs of my organization, but it also enables us to easily and quickly make ETL or DW changes."
"The tool supports multiple target update methods."
 

Cons

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"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."
"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."
"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."
"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."
"Jobs cannot be deleted via the deployment package. When deploying from dev to QA or production, a job has to be retired. The job has to be manually removed from the target environment."
"Technical support isn't the best."
"They need a more robust support center. It has been a bit difficult to find solutions to problems that are out-of-the-box."
"The ability to execute SSIS projects within WhereScape would be nice because we have a lot of packages that are too cumbersome to recreate."
"The scheduled jobs which are run by the WhereScape scheduler seem to be a strangely separate animal. Unlike all other WhereScape objects, jobs cannot be added to WhereScape projects. Also, unlike all other objects, jobs also cannot be deleted using a WhereScape deployment application."
"It could use a tool to diagnose what is missing from the environment for WhereScape to install successfully."
"Improve the object renaming ability (it works, but it could be more automated)."
"Project-based searching of data objects in the data warehouse browser needs to be improved."
 

Pricing and Cost Advice

"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."
"Factor in the price of specialized consulting who know this product. They're hard to find and expensive."
"ROI is at least 10 times."
"Our company purchased a corporate unlimited license."
"Speed to market of a warehouse solution at a relatively inexpensive price point."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
17%
Retailer
7%
Manufacturing Company
6%
Financial Services Firm
18%
Computer Software Company
10%
Insurance Company
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
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Overview

 

Sample Customers

Information Not Available
British American Tobacco, Cornell University, Allianz Benelux, Finnair, Solarwinds and many more.
Find out what your peers are saying about Spring Cloud Data Flow vs. WhereScape RED and other solutions. Updated: April 2025.
847,862 professionals have used our research since 2012.