Spring Cloud Data Flow vs TIBCO Streaming comparison

Broadcom and TIBCO are both solutions in the Streaming Analytics category. Broadcom is ranked #10 with an average rating of 7.8, while TIBCO is ranked #26. Broadcom holds a 4.6% mindshare in SA, compared to TIBCO’s 0.7% mindshare. Additionally, 88% of Broadcom users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,001 Views
1,410 Comparison Views

88% willing to recommend

TIBCO Streaming

Read 1 TIBCO Streaming review

308 Views
256 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

TIBCO Streaming

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Executive SummaryUpdated on Aug 25, 2025

Spring Cloud Data Flow and TIBCO Streaming compete in data processing and analytics. Spring Cloud Data Flow has an edge in flexibility and integration, while TIBCO Streaming excels in analytical features and real-time processing.

Features: Spring Cloud Data Flow offers an open-source nature, robust integration with the Spring ecosystem, and support for microservice architecture. It enables seamless cloud-native deployments. TIBCO Streaming is known for excellent event processing proficiency, supports complex event processing, and delivers low-latency data processing, suitable for real-time analytics.

Ease of Deployment and Customer Service: Spring Cloud Data Flow integrates smoothly with cloud services, backed by thorough documentation and a strong community, emphasizing microservices deployment and scalability. TIBCO Streaming is more complex to deploy but has strong support and a comprehensive guide, with customer service very supportive during implementation.

Pricing and ROI: Spring Cloud Data Flow has a lower setup cost, appealing for companies leveraging open-source solutions, with flexibility in deployment leading to favorable ROI in cloud-native applications. TIBCO Streaming's premium pricing is justified by advanced analytics and efficient processing, offering high ROI for data-driven decision-making.

To learn more, read our detailed Streaming Analytics Report (Updated: September 2025).

Buyer's Guide

Streaming Analytics

September 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

Spring Cloud Data Flow

Ranking in Streaming Analytics

10th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (21st)

TIBCO Streaming

Ranking in Streaming Analytics

26th

Average Rating

8.0

Number of Reviews

Ranking in other categories

CEP (2nd)

Mindshare comparison

As of October 2025, in the Streaming Analytics category, the mindshare of Spring Cloud Data Flow is 4.6%, up from 4.6% 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
Product	Market Share (%)
Spring Cloud Data Flow	4.6%
TIBCO Streaming	0.7%
Other	94.7%

Streaming Analytics

Featured Reviews

Kaleeswaran Karuppusamy

Cloud Application Architect at Lumen Technologies

Helps retrieve data and with data processing but is not so easy to use

There are no stability issues in the tool. Compared to Apache Sling, Spring Cloud Data Flow is not easy to use. People prefer Apache Sling when dealing with their use cases. I don't know whether Spring Cloud Data Flow will be demanded a lot in the market because there are a lot of other options available, especially open-source tools like Apache Sling, which is getting a lot of attention from people. A lot of people have started using Apache Sling, so I don't know how much more visible Spring Cloud Data Flow will be in the future.

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MichaelKogan

Head of Data and Analytics Solutions at a tech vendor with 201-500 employees

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.

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

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

"The product is very user-friendly."

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

"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."

"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 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 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 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

"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."

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"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."

"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 solution's community support could be improved."

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

"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

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

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

15%

Retailer

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

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...

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...

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Comparisons

Apache Flink vs Spring Cloud Data Flow

Compared 39% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 9% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 6% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 5% of the time

More Spring Cloud Data Flow Competitors

Apache Flink vs TIBCO Streaming

Compared 59% of the time

Apache Kafka vs TIBCO Streaming

Compared 41% of the time

More TIBCO Streaming Competitors

Product Reports

Buyer's Guide

Spring Cloud Data Flow

September 2025

Download Spring Cloud Data Flow product report

Buyer's Guide

Streaming Analytics

September 2025

Download TIBCO Streaming product report

Also Known As

No data available

TIBCO Streambase CEP

Overview

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

TIBCO Streaming enables real-time data processing and complex event handling with exceptional throughput, facilitating immediate insights and actions. It's designed to help businesses process high-speed data for rapid decision-making and enhanced operational efficiency.

TIBCO Streaming is a real-time analytics platform designed for the fast-paced demands of modern businesses, allowing enterprises to manage streams of data effortlessly. By providing a flexible and scalable environment, it specializes in data ingestion, analysis, and response, transforming data streams into actionable insights. Its architecture supports continuous querying and real-time pattern detection, ensuring that businesses can respond promptly to emerging opportunities or threats.

What are the key features of TIBCO Streaming?

Real-time Processing: Handles massive data streams with minimal latency.
Complex Event Processing: Identifies and reacts to patterns in streaming data.
Scalability: Easily adapts to fluctuating data volumes.
Integration: Seamlessly connects with cloud and on-premise systems.
Visual Authoring: Simplifies the creation of streaming applications.

What benefits and ROI can be expected?

Increased Responsiveness: Faster decision-making reduces downtime and improves service delivery.
Operational Efficiency: Automates data processing workflows, saving time and resources.
Cost Reduction: Minimizes infrastructure overhead through efficient resource utilization.
Improved Compliance: Enhances data governance capabilities with real-time monitoring.

In finance, TIBCO Streaming aids in the detection of fraudulent transactions by processing live data streams to spot anomalies. In telecommunications, it improves network performance monitoring by generating alerts from live data feeds, optimizing service quality for users. Its adaptability ensures it meets industry-specific demands, enhancing business outcomes across diverse sectors.

TIBCO

Sample Customers

Information Not Available

Blendtec, Brembo, CargoSmart, Hunt Oil, Autodata, Bank of Montreal

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