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Spring Cloud Data Flow pros and cons

Vendor: Broadcom

3.9 out of 5

9 reviews
88% willing to recommend

Pros & Cons summary

Spring Cloud Data Flow offers real-time streaming capabilities and flexibility with multiple usage options and full infrastructure. Its simple programming model includes integration, dependency injection, and auto-configuration, yet monitoring tools are still evolving. Managing various batch data sources is valued, though documentation can be complex. Community support needs enhancement, and deployment issues like stuck pipelines and dashboard inaccuracies may require manual fixes, while the dashboard remains user-unfriendly.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

Real-time streaming is a highly valuable feature.

Spring Cloud Data Flow offers flexibility and full infrastructure options.

It supports simple programming models and easy integration with dependency injection and auto-configuration.

The plug-and-play model is a favorite aspect of Spring Cloud Data Flow.

Seamless integration for pipeline orchestration and ease of deployment on Kubernetes are notable features.

CONS

Some features like monitoring tools are still evolving and not very mature.

Configurations can be time-consuming to understand with Spring Cloud documentation.

Online discussion forums have issues where users may get stuck, requiring improvements.

Spring Cloud Data Flow is not easy to use and requires improvements for ease of use.

Community support for Spring Cloud Data Flow could be improved.

Spring Cloud Data Flow Pros review quotes

KR

Senior Digital Architect at Kubota USA Inc.

May 7, 2018

This product will assist us in saving costs in many ways: No longer need to continue paying high fees for proprietary software, reduce the number of software engineers needed to support the product, and achieve faster time to market by using this product for our middleware.

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SP

Senior Platform Associate L2 at a tech services company with 10,001+ employees

Oct 19, 2020

The most valuable feature is real-time streaming.

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JM

Mohammad Masudu Rahaman

Founder at Talkingdeal.com LLC

Oct 21, 2020

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.

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Spring Cloud Data Flow

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Learn what your peers think about Spring Cloud Data Flow. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.

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JA

Software engineer at Codinglama

Apr 4, 2023

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.

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LN

Senior Software Engineer at QBE Regional Insurance

Mar 26, 2024

The product is very user-friendly.

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Kaleeswaran Karuppusamy

Cloud Application Architect at Lumen Technologies

Aug 13, 2024

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.

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Engineering Lead at Naukri.com

Aug 15, 2024

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

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Software Engineer at Tech Mahindra Limited

Sep 18, 2024

The dashboards in Spring Cloud Dataflow are quite valuable.

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reviewer2591274

Solution Architect | R&D Lead at a computer software company with 51-200 employees

Nov 6, 2024

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.

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Spring Cloud Data Flow Cons review quotes

KR

Senior Digital Architect at Kubota USA Inc.

May 7, 2018

The visual user interface could use some help; it needs improvement.

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SP

Senior Platform Associate L2 at a tech services company with 10,001+ employees

Oct 19, 2020

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

Read full review

JM

Mohammad Masudu Rahaman

Founder at Talkingdeal.com LLC

Oct 21, 2020

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

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Spring Cloud Data Flow

Free Report: Spring Cloud Data Flow Reviews and More

Learn what your peers think about Spring Cloud Data Flow. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.

885,728 professionals have used our research since 2012.

JA

Software engineer at Codinglama

Apr 4, 2023

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.

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LN

Senior Software Engineer at QBE Regional Insurance

Mar 26, 2024

On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required.

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Kaleeswaran Karuppusamy

Cloud Application Architect at Lumen Technologies

Aug 13, 2024

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

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Engineering Lead at Naukri.com

Aug 15, 2024

The solution's community support could be improved.

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Software Engineer at Tech Mahindra Limited

Sep 18, 2024

I would improve the dashboard features as they are not very user-friendly.

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reviewer2591274

Solution Architect | R&D Lead at a computer software company with 51-200 employees

Nov 6, 2024

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.

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Product Categories

Product Categories

Data Integration

Streaming Analytics

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Product Categories

Product Categories

Data Integration

Streaming Analytics

Popular Comparisons

Popular Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Spring Cloud Data Flow

Databricks vs Spring Cloud Data Flow

SSIS vs Spring Cloud Data Flow

Informatica PowerCenter vs Spring Cloud Data Flow

Azure Data Factory vs Spring Cloud Data Flow

Qlik Talend Cloud vs Spring Cloud Data Flow

Oracle Data Integrator (ODI) vs Spring Cloud Data Flow

Fivetran vs Spring Cloud Data Flow

Oracle GoldenGate vs Spring Cloud Data Flow

IBM InfoSphere DataStage vs Spring Cloud Data Flow

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