IBM InfoSphere Information Server vs Spring Cloud Data Flow comparison

IBM and VMware are both solutions in the Data Integration category. IBM is ranked #31 with an average rating of 8.0, while VMware is ranked #24 with an average rating of 7.7. IBM holds a 0.9% mindshare in DI, compared to VMware’s 1.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

IBM InfoSphere Information ...

Read 7 IBM InfoSphere Information Server reviews

1,082 Views
885 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,421 Views
1,057 Comparison Views

88% willing to recommend

IBM InfoSphere Information ...

Spring Cloud Data Flow

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Executive SummaryUpdated on Dec 19, 2024

IBM InfoSphere Information Server and Spring Cloud Data Flow compete in the data integration and processing category. Spring Cloud Data Flow holds an advantage due to its cloud deployment and agile processing capabilities.

Features: IBM InfoSphere Information Server offers comprehensive data integration, metadata management, and data quality features, making it suitable for complex enterprise environments. Spring Cloud Data Flow is adept in real-time data processing, utilizes a microservices architecture, and allows cloud-agnostic deployment, fitting dynamic applications. Its advantage in agility supports fast-paced development needs while InfoSphere's strengths in governance serve stringent data management.

Room for Improvement: IBM InfoSphere Information Server could enhance its cloud-native features, streamline deployment processes, and improve cost efficiency for smaller projects. Spring Cloud Data Flow might benefit from expanding its enterprise-level support, enhancing data governance features, and offering more extensive documentation for complex integrations.

Ease of Deployment and Customer Service: IBM InfoSphere Information Server's deployment is complex due to its extensive features, with customer service tailored to enterprise support. Spring Cloud Data Flow offers streamlined deployment in cloud environments with community-driven support and comprehensive documentation, making it advantageous for projects requiring rapid implementation.

Pricing and ROI: IBM InfoSphere Information Server involves significant initial setup costs but provides ROI through long-term data governance. Spring Cloud Data Flow presents a cost-effective entry, leveraging open-source technology, and offers flexible ROI options, appealing for cloud-centric projects.

To learn more, read our detailed IBM InfoSphere Information Server vs. Spring Cloud Data Flow Report (Updated: April 2025).

Buyer's Guide

IBM InfoSphere Information Server vs. Spring Cloud Data Flow

April 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

IBM InfoSphere Information ...

Ranking in Data Integration

31st

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Metadata Management (7th)

Spring Cloud Data Flow

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of IBM InfoSphere Information Server is 0.9%, up from 0.7% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

UmeshKumar1

Business Analyst Team Lead at Accenture

Prompt support, reliable, but lacking scalability

IBM InfoSphere Information Server has multiple tools in that product suite. However, we mainly use it as an integration tool I have been using IBM InfoSphere Information Server for approximately five years. IBM InfoSphere Information Server is stable. IBM InfoSphere Information Server should be…

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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.

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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

"The integration with different technologies is the most valuable feature."

"Stability-wise, I rate the solution a ten out of ten."

"IBM InfoSphere Information Server is stable."

"This solution is extremely flexible and scalable."

"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."

"The product is very user-friendly."

"The most valuable feature is real-time streaming."

"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."

"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 dashboards in Spring Cloud Dataflow are quite valuable."

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

Cons

"Their technical support needs improvement."

"This solution would benefit from the engine being made more lightweight."

"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."

"There are certain shortcomings in the cloud side of the solution, where improvements are required."

"The solution's community support could be improved."

"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."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"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."

"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 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

"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."

"The solution provides value for money, and we are currently using its community edition."

"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."

"This is an open-source product that can be used free of charge."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Government

14%

Insurance Company

10%

Computer Software Company

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM InfoSphere Information Server?

Stability-wise, I rate the solution a ten out of ten.

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What needs improvement with IBM InfoSphere Information Server?

There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution cu...

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What is your primary use case for IBM InfoSphere Information Server?

I use IBM InfoSphere Information Server in retail banking for transformation purposes.

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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

IBM InfoSphere DataStage vs IBM InfoSphere Information Server

Compared 65% of the time

Oracle GoldenGate vs IBM InfoSphere Information Server

Compared 15% of the time

Qlik Replicate vs IBM InfoSphere Information Server

Compared 12% of the time

IBM InfoSphere Information Governance Catalog vs IBM InfoSphere Information Server

Compared 7% of the time

More IBM InfoSphere Information Server Competitors

Apache Flink vs Spring Cloud Data Flow

Compared 42% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 11% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 7% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 4% of the time

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Product Reports

Buyer's Guide

Data Integration

March 2025

IBM InfoSphere Information Server report

Download IBM InfoSphere Information Server product report

Buyer's Guide

Spring Cloud Data Flow

March 2025

Download Spring Cloud Data Flow product report

Also Known As

InfoSphere Information Server, IBM Information Server

No data available

Overview

IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data, as well as to collaborate to bridge the gap between business and IT. InfoSphere Information Server provides massively parallel processing (MPP) capabilities to deliver a highly scalable and flexible integration platform that handles a variety of data volumes (big, small, and everything in between).

IBM

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

Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia

Information Not Available

Buyer's Guide

IBM InfoSphere Information Server vs. Spring Cloud Data Flow

April 2025

Free Report: IBM InfoSphere Information Server vs. Spring Cloud Data Flow

Find out what your peers are saying about IBM InfoSphere Information Server vs. Spring Cloud Data Flow and other solutions. Updated: April 2025.

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