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Spring Cloud Data Flow vs TIBCO Streaming comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 25, 2025

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 Streaming Analytics
9th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (21st)
TIBCO Streaming
Ranking in Streaming Analytics
26th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
CEP (2nd)
 

Mindshare comparison

As of September 2025, in the Streaming Analytics category, the mindshare of Spring Cloud Data Flow is 4.6%, up from 4.5% compared to the previous year. The mindshare of TIBCO Streaming is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Market Share Distribution
ProductMarket Share (%)
Spring Cloud Data Flow4.6%
TIBCO Streaming0.7%
Other94.7%
Streaming Analytics
 

Featured Reviews

Alokik Gupta - PeerSpot reviewer
Effective microservice and task management but needs more dashboard features
The dashboards in Spring Cloud Dataflow are quite valuable. By injecting the dependency of Spring Cloud Dataflow into our Spring Boot application and annotating it with 'enable task annotation', we can manage tasks effectively. Additionally, the platform allows us to create pipelines and use microservices like a logical AND gate, giving us greater control over our microservices.
MK
Good stability and scalability with the capability to combine with Spotfire
The ability for StreamBase to combine with Spotfire is its most valuable aspect. The ability to handle data in motion and the entirety of data at the same time is very good. If you don't integrate the two together it's just a monitoring tool, but if they're combined together it becomes a powerful analytical tool. When you can combine live data from streaming data sources with standing data from the customer's primary database then you can calculate some KPIs or thresholds based on the previous information. We can do data science, machine learning methods or just clever queries. You can view all this online. If a KPI hits a redline, you can send alerts, which is the solution's most functional feature.

Quotes from Members

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

Pros

"The dashboards in Spring Cloud Dataflow are quite valuable."
"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."
"The product is very user-friendly."
"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 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 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 ability for StreamBase to combine with Spotfire is its most valuable aspect. The ability to handle data in motion and the entirety of data at the same time is very good. If you don't integrate the two together it's just a monitoring tool, but if they're combined together it becomes a powerful analytical tool."
 

Cons

"Spring Cloud Data Flow is not an easy-to-use tool, so 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."
"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."
"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 solution's community support could be improved."
"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 should be more user-friendly for developers. Right now, you need a strong programmer to tune the solution. It's complicated product. I'm not sure if it can be done via self-service with BI. Because I'm from BI, I want more simplicity."
 

Pricing and Cost Advice

"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."
"This is an open-source product that can be used free of charge."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
17%
Retailer
7%
Insurance Company
6%
Financial Services Firm
27%
Manufacturing Company
12%
Computer Software Company
12%
Performing Arts
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
No data available
 

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...
Ask a question
Earn 20 points
 

Also Known As

No data available
TIBCO Streambase CEP
 

Overview

 

Sample Customers

Information Not Available
Blendtec, Brembo, CargoSmart, Hunt Oil, Autodata, Bank of Montreal
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