Redpanda vs Spring Cloud Data Flow comparison

Redpanda Data and Broadcom are both solutions in the Streaming Analytics category. Redpanda Data is ranked #18 with an average rating of 8.8, while Broadcom is ranked #11 with an average rating of 7.8. Redpanda Data holds a 1.6% mindshare in SA, compared to Broadcom’s 4.1% mindshare. Additionally, 100% of Redpanda Data users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Redpanda

Read 4 Redpanda reviews

523 Views
507 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,055 Views
1,283 Comparison Views

88% willing to recommend

Redpanda

Spring Cloud Data Flow

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Executive SummaryUpdated on Dec 17, 2024

Spring Cloud Data Flow and Redpanda are directly engaged in the competition within the data processing landscape. Redpanda appears to have the upper hand with its advanced streaming abilities, providing significant value through feature offering, though Spring Cloud Data Flow is favored for pricing and support.

Features: Redpanda delivers high performance in handling real-time data streams, exceptional low-latency processing, seamless integration with Kafka, and is based on C++ for optimized usage. Spring Cloud Data Flow's stream processing excels with the integration of Spring Boot applications, effective orchestration of microservices, and a robust plug-and-play model for data tasks and complex workflows.

Room for Improvement: Redpanda could enhance the graphical user interface for stream visualization and provide more intuitive off-the-shelf components for quick integration. More robust support for non-Kafka ecosystems and additional documentation would also benefit its user base. Spring Cloud Data Flow could improve by streamlining deployment processes to bypass dependencies on Spring environments. Enhancements in low-latency capabilities and scalability without Spring framework dependency are also potential areas for growth.

Ease of Deployment and Customer Service: Spring Cloud Data Flow provides seamless deployment within Spring environments and offers flexibility for cloud-native architecture across varied environments, backed by excellent customer support. Redpanda enjoys a simplified deployment model applicable even for non-Spring infrastructures, with efficient operations support and a wide community base for technical assistance, although its integration in non-Kafka environments might need refining.

Pricing and ROI: Spring Cloud Data Flow offers a budget-friendly initial setup, favored by organizations leveraging existing Spring architectures; it ensures good ROI through cost-effective scaling solutions. Despite Redpanda's higher initial costs, it provides excellent ROI for data-intensive operations, justifying its price through superior performance and rich feature sets.

To learn more, read our detailed Redpanda vs. Spring Cloud Data Flow Report (Updated: December 2025).

Buyer's Guide

Redpanda vs. Spring Cloud Data Flow

December 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

Redpanda

Ranking in Streaming Analytics

18th

Average Rating

9.2

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Spring Cloud Data Flow

Ranking in Streaming Analytics

11th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (20th)

Mindshare comparison

As of January 2026, in the Streaming Analytics category, the mindshare of Redpanda is 1.6%, up from 0.4% compared to the previous year. The mindshare of Spring Cloud Data Flow is 4.1%, down from 4.9% 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	4.1%
Redpanda	1.6%
Other	94.3%

Streaming Analytics

Featured Reviews

ArpitShah

Software Analyst at CLSA

Affordable, easy to deploy, and it is easy to find things on the user interface

We use the libraries in the different programming languages. We use the message format in Avro, convert the data in the format, and pass it on. We have contacted the sales team about the solution. So far, the product fulfills our requirements. We get lots of data. The data flows through Kafka to Redpanda. Then it goes to a database. If our infrastructure goes down for a week, we will not lose data. It is an advantage of Redpanda. I recommend the product to others. We might choose a different solution if we find something cheaper. We used Redpanda because we did not want to self-host our software. Redpanda is a piece of infrastructure. There is not much of a learning curve. Overall, I rate the tool an eight out of ten.

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Lipika Naik

Senior Software Engineer at QBE Regional Insurance

Provides ease of integration with other cloud platforms

Spring Cloud Data Flow is a useful product if I consider how there are different providers with whom my company had to deal, and most of them offer cloud-based products. I can't explain any crucial circumstances where the product's integration capabilities were helpful, but the aforementioned details explain the scenario for which I used the solution. I was only involved with the development of the product and not with the data pipeline configuration phase. The use of Spring Cloud Data Flow greatly impacted projects' time to market since our company's intention was to actually deploy and ensure that the payment platform integrated with it, which was an easy process. The product's user interface was very intuitive. The tool was deployed in multiple environments, but I am not sure about the production. From the time I started taking up the job in my current organization, I saw that we have deployed the tool in multiple environments wherein the number of users extensively used the product in the UAT environment, which is one of the most stable environments. There were 20 different methods to test the tool. I wouldn't be able to tell you the production details of the tool as I was more part of the production deployment, but I can say that it was deployed with the intent of making it available for 10,000 users. Those who plan to use the product should enjoy the flexibility of the solution. I rate the tool a nine out of ten.

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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

"What makes Redpanda superior is its performance since it's written in C++. C++ is pretty much the standard for high-performance applications."

"I tested it with ten-plus nodes, and it's highly scalable."

"The UI is modern."

"The cost savings have been significant."

"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 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."

"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 dashboards in Spring Cloud Dataflow are quite valuable."

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

"The product is very user-friendly."

"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."

Cons

"When it comes to self-hosting, their documentation could be improved."

"The version control mechanism must be improved."

"The command-line tools need to be improved. To quickly check the status of the topics and all."

"Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good."

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

"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."

"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."

"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."

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

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

Pricing and Cost Advice

"It's free. Everybody can use it, only support is paid."

"Redpanda is cheaper than its competitors."

"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

No data available

Financial Services Firm

20%

Computer Software Company

13%

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your experience regarding pricing and costs for Redpanda?

Redpanda is actually a commercial platform, but they do provide free versions as well. I've been working only with the free versions.

See all answers

What needs improvement with Redpanda?

Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good. Maybe ...

See all answers

What is your primary use case for Redpanda?

I have worked with Redpanda for the past two to three months. Mainly in the tech industry or software industry, there's a huge rise of streaming data. Redpanda serves as a very reliable and fast me...

See all answers

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

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Compared 35% of the time

Apache Pulsar vs Redpanda

Compared 23% of the time

StreamNative vs Redpanda

Compared 12% of the time

Apache Kafka vs Redpanda

Compared 10% of the time

Amazon MSK vs Redpanda

Compared 10% of the time

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Apache Flink vs Spring Cloud Data Flow

Compared 26% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 6% of the time

Apache Kafka vs Spring Cloud Data Flow

Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

IBM InfoSphere DataStage vs Spring Cloud Data Flow

Compared 4% of the time

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Product Reports

Buyer's Guide

Redpanda

January 2026

Download Redpanda product report

Buyer's Guide

Spring Cloud Data Flow

January 2026

Download Spring Cloud Data Flow product report

Overview

Redpanda offers a modern, intuitive interface with efficient resource usage, seamlessly integrating with Kafka, and enhancing performance through fast operations and reliable support. Organizations benefit from its memory efficiency and high performance for demanding data workloads.

Built on a C++ foundation, Redpanda integrates easily with Kafka clients and stands out for fast operations, simplified Docker setup, and effective metrics monitoring. Performance is enhanced by memory efficiency and high throughput capabilities. The community provides robust support, and clear documentation aids the adoption process. However, improvements could be made in version control, command-line tools, and documentation, particularly in areas such as automation file management and chatbot documentation assistance. Redpanda is widely utilized in data streaming and normalization, efficiently handling large telemetry data volumes with minimal latency, essential for building asynchronous applications across microservices and monitoring systems.

What are the most important features of Redpanda?

Modern UI: Provides an intuitive interface for ease of use.
Efficient Resource Usage: Built on C++ for performance optimization.
Seamless Integration: Works well with Kafka clients for smooth operations.
Simplified Setup: Docker templates facilitate easy installation.
Built-in Metrics Exporters: Enhance monitoring and visibility.
High Performance: Ensures memory efficiency and quick data processing.

What benefits and ROI can users expect?

Fast Operations: Accelerates data processing for efficient workflows.
Reliable Support: Strong community aids troubleshooting and development.
Clear Documentation: Helps users quickly onboard and manage Redpanda.
Low Latency: Critical for applications requiring quick response times.
Sub-second Response: Supports demanding performance and latency needs.

Redpanda is commonly implemented in tech and software industries to streamline data streaming and normalization processes, handling high telemetry data volumes effectively. Its capacity for sub-second response times makes it crucial for companies developing asynchronous applications, especially in microservices and monitoring systems.

Redpanda Data

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

Buyer's Guide

Redpanda vs. Spring Cloud Data Flow

December 2025

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