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Jitterbit Harmony vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 9, 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

Jitterbit Harmony
Ranking in Data Integration
32nd
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
13
Ranking in other categories
Workload Automation (18th), Cloud Data Integration (18th), Integration Platform as a Service (iPaaS) (14th)
Spring Cloud Data Flow
Ranking in Data Integration
24th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Streaming Analytics (9th)
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Jitterbit Harmony is 0.3%, up from 0.3% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Mohamed Abd Kader - PeerSpot reviewer
An easy-to-setup solution with good stability
We use Jitterbit to connect cloud solutions with our on-premises ERP system We connect cloud solutions to our on-premise ERP system easily using Jitterbit. It is its most valuable feature.  The solution's API management capabilities need improvement. We have been using the solution for almost…
NitinGoyal - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"It runs like an appliance and has tremendous throughput."
"The fluid user interface (probably the most user friendly interface, when compared to its competitors)."
"Jitterbit handles the most lines of data in a .csv and loads the quickest of any data loader I have tried."
"Integrity, ease of use, user-friendly user interface, and errorless logs are the most valuable features."
"Easy integration with Salesforce"
"The Cloud Console for monitoring and troubleshooting data operations."
"We only use small parts of the solution, however, the parts that we use are quite adequate."
"It is a scalable solution."
"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 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 product is very user-friendly."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
 

Cons

"In the past few months, there have been some server downtimes during work hours that have affected some critical scheduled integrations."
"There were some bugs in the product. For example if you run a delete query and test, it deletes the actual data."
"Sometimes we experience disconnections and I have to close all Jitterbit programs."
"The initial setup can be a little bit difficult."
"You need to have some development skills or hire a Jitterbit engineer to make changes."
"Its API management capabilities need improvement."
"Looping through complex data structures can be difficult."
"Sometimes additional connectors are needed."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"I would improve the dashboard features as they are not very user-friendly."
"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."
"The solution's community support could be improved."
"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 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

"Each business needs to determine if it is a mission critical aspect."
"I do believe Jitterbit has one of the better pricing and licensing options out there compared to its competitors."
"Jitterbit was extremely cost effective for us compared to other options."
"The solution's cost is mid-ranged compared to other vendors."
"The added bonus is that Jitterbit doesn't charge for any data volume/traffic."
"The Jitterbit price is based upon endpoints. They also offer ERP connectors with their Enterprise 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."
"The solution provides value for money, and we are currently using its community edition."
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Top Industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
14%
Manufacturing Company
8%
Healthcare Company
8%
Financial Services Firm
26%
Computer Software Company
17%
Retailer
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Jitterbit Harmony Platform?
The solution's cost is mid-ranged compared to other vendors. I rate its pricing a six out of ten.
What needs improvement with Jitterbit Harmony Platform?
The solution's API management capabilities need improvement.
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...
 

Also Known As

Jitterbit, Jitterbit Harmony
No data available
 

Overview

 

Sample Customers

LA Metro, Mophie, Club Auto, University of Miami, Exostar, Dialog Direct, Avero, Greenpoint Technologies, Berklee Online, Odyssey, KeyedIn Solutions, Swish Maintenance, SPP Pumps Limited, Talent Plus, Ricoh Canada, Televerde, Reed Construction Data, Sika US, Sunkist Growers
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Find out what your peers are saying about Jitterbit Harmony vs. Spring Cloud Data Flow and other solutions. Updated: April 2025.
847,862 professionals have used our research since 2012.