JumpMind SymmetricDS vs Spring Cloud Data Flow comparison

The compared JumpMind and Broadcom solutions aren't in the same category. JumpMind is ranked #13 in DR , and holds a 4.3% mindshare in the category. Broadcom is ranked #30 in DI , with an average rating of 7.5, and holds a 1.1% mindshare. Additionally, 100% of JumpMind users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

JumpMind SymmetricDS

Read 2 JumpMind SymmetricDS reviews

1,833 Views
532 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,699 Views
2,034 Comparison Views

88% willing to recommend

JumpMind SymmetricDS

Spring Cloud Data Flow

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Executive Summary

We performed a comparison between JumpMind SymmetricDS and Spring Cloud Data Flow based on real PeerSpot user reviews.

Find out what your peers are saying about NetApp, Fivetran, Dell Technologies and others in Data Replication.

To learn more, read our detailed Data Replication Report (Updated: May 2026).

Buyer's Guide

Data Replication

May 2026

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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

JumpMind SymmetricDS

Average Rating

9.0

Reviews Sentiment

8.3

Number of Reviews

Ranking in other categories

Data Replication (13th)

Spring Cloud Data Flow

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Integration (30th), Streaming Analytics (16th)

Mindshare comparison

JumpMind SymmetricDS and Spring Cloud Data Flow aren’t in the same category and serve different purposes. JumpMind SymmetricDS is designed for Data Replication and holds a mindshare of 4.3%, up 1.9% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 1.1% since last year.

Data Replication Mindshare Distribution
Product	Mindshare (%)
JumpMind SymmetricDS	4.3%
NetApp SnapMirror	7.2%
Dell RecoverPoint	5.9%
Other	82.6%

Data Replication

Data Integration Mindshare Distribution
Product	Mindshare (%)
Spring Cloud Data Flow	1.1%
SSIS	3.7%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	91.6%

Data Integration

Featured Reviews

reviewer1625691

CEO at a non-profit with 1-10 employees

Fully-featured, good performance, and easy to use and install

We are using it to back up the software across the network to a remote server It is fully featured. It has allowed me to do everything I wanted to do. It is also very easy to use and install. It is pretty self-explanatory, and their support was also very good. Everything is fine. The user…

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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.

Read full review

Quotes from Members

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

Pros

"It is fully featured. It has allowed me to do everything I wanted to do."

"Customer Service: We have a support contract with Jumpmind. The support resources are readily available and provide expert support to any questions."

"It is fully featured, has allowed me to do everything I wanted to do, is very easy to use and install, is pretty self-explanatory, and their support was also very good."

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

"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."

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

"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."

"Overall, Spring Cloud Data Flow is a really good solution and a lot cheaper than a lot of infrastructure provided by big companies like Google or Amazon."

"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 feature is real-time streaming."

More Spring Cloud Data Flow pros

Cons

"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."

"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."

"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."

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

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

"The documentation on offer is not that good."

"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."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

Information not available

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

"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."

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Top Industries

By visitors reading reviews

Manufacturing Company

12%

Construction Company

10%

Computer Software Company

Healthcare Company

Financial Services Firm

18%

Computer Software Company

10%

Retailer

Manufacturing Company

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

Does JumpMind SymmetricDS support a large array of databases?

Yes, it does. This data replication software works with many popular databases, allowing users to benefit from its services. What's more, it also works with many data warehouses, as well as streami...

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Is JumpMind SymmetricDS easy to use for beginners?

I didn't start with JumpMind SymmetricDS, I actually started using it at a job when I was a little more introduced to data replication. That made me able to see the good features this software has....

See all answers

Does JumpMind SymmetricDS provide frequent file synchronization?

How often do you need for your data to be synchronized? I'm asking this because different companies use data replication for different purposes. Some use it as simply updating backup, others to giv...

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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

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Compared 7% of the time

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Compared 7% of the time

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Compared 6% of the time

HiT Software DBMoto vs JumpMind SymmetricDS

Compared 6% of the time

SSIS vs JumpMind SymmetricDS

Compared 6% of the time

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Compared 12% of the time

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Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

WSO2 Enterprise Integrator vs Spring Cloud Data Flow

Compared 4% of the time

StreamSets vs Spring Cloud Data Flow

Compared 4% of the time

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Product Reports

Buyer's Guide

Data Replication

May 2026

Download JumpMind SymmetricDS product report

Buyer's Guide

Spring Cloud Data Flow

May 2026

Download Spring Cloud Data Flow product report

Also Known As

SymmetricDS

No data available

Overview

JumpMind SymmetricDS is an advanced data replication and synchronization software designed to meet the demands of modern enterprise environments, ensuring reliable data consistency across diverse systems and platforms.

Making its mark as a trusted tool, JumpMind SymmetricDS efficiently handles high-volume data transfers in distributed architectures. Its ability to support cross-platform databases and operate in heterogeneous environments highlights its adaptability, appealing to enterprises seeking robust data integration and synchronization. Users have applauded its real-time synchronization capabilities, which play a crucial role in facilitating seamless operations.

What are the key features of JumpMind SymmetricDS?

Bidirectional Data Synchronization: Enables real-time data flow, ensuring continuous data accuracy.
Cross-Platform Support: Compatible with multiple databases and systems, enhancing integration flexibility.
Conflict Detection and Resolution: Identifies and resolves data discrepancies efficiently.
Flexible Configuration: Allows customization to fit unique enterprise environments.

What benefits or ROI should users look for?

Reduced Downtime: Enhances operational efficiency by minimizing interruptions.
Cost Savings: Lowers maintenance expenses with efficient resource utilization.
Scalability: Adapts to growing data requirements without performance degradation.
Improved Data Integrity: Maintains consistent and reliable data flow across systems.

In industries like retail and finance, JumpMind SymmetricDS plays a critical role in data integration, supporting omnichannel strategies and enabling precise financial transactions by ensuring data remains consistent and up-to-date across different platforms.

JumpMind

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

Sample Customers

SmartMD, Cancer Research UK

Information Not Available

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