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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 (21st), Streaming Analytics (9th)
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 1.2%, up 0.9% compared to last year.
Stone Bond Enterprise Enabler, on the other hand, focuses on Data Virtualization, holds 1.4% mindshare, up 0.4% since last year.
Data Integration
Data Virtualization
 

Featured Reviews

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.
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
18%
Retailer
7%
Manufacturing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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
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