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Spring Cloud Data Flow vs Stone Bond Enterprise Enabler comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (20th), Streaming Analytics (11th)
Stone Bond Enterprise Enabler
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Data Virtualization (9th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. Spring Cloud Data Flow is designed for Data Integration and holds a mindshare of 1.1%, up 1.0% compared to last year.
Stone Bond Enterprise Enabler, on the other hand, focuses on Data Virtualization, holds 3.2% mindshare, up 0.7% since last year.
Data Integration Market Share Distribution
ProductMarket Share (%)
Spring Cloud Data Flow1.1%
SSIS4.0%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
Other91.2%
Data Integration
Data Virtualization Market Share Distribution
ProductMarket Share (%)
Stone Bond Enterprise Enabler3.2%
Denodo21.9%
TIBCO Data Virtualization17.8%
Other57.1%
Data Virtualization
 

Featured Reviews

LN
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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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Computer Software Company
13%
Retailer
8%
Manufacturing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
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...
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...
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Also Known As

No data available
Enterprise Enabler
 

Overview

 

Sample Customers

Information Not Available
General Electric, J.M. Huber Corporation, MASH, DermSurgery, Fisher Controls International, The Houstonian Hotel, Club & Spa, Kiodex, PDVSA, Shell
Find out what your peers are saying about Microsoft, Informatica, IBM and others in Data Integration. Updated: December 2025.
879,853 professionals have used our research since 2012.