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Spring Cloud Data Flow vs webMethods.io 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:
 

Customer Service

No sentiment score available
Sentiment score
6.4
webMethods.io's customer service is responsive and helpful but occasionally slow for complex issues, with some variability in experiences.
 

Room For Improvement

No sentiment score available
Sentiment score
4.7
webMethods.io needs improved support, scalability, affordability, UI, logging, monitoring, version control, AI integration, and simplified processes.
 

Scalability Issues

No sentiment score available
Sentiment score
6.7
webMethods.io offers scalable solutions with easy cluster additions and CPU enhancements, though some challenges in connectors and on-premise setups exist.
 

Setup Cost

No sentiment score available
Sentiment score
5.6
webMethods.io is seen as expensive but offers flexible licensing, making it suitable for larger businesses but costly for small firms.
 

Stability Issues

No sentiment score available
Sentiment score
7.2
webMethods.io is praised for its stability, reliability, and performance, with minimal downtime and effective long-term integration.
 

Valuable Features

No sentiment score available
Sentiment score
8.1
webMethods.io features efficient design, robust EDI, versatile integration, strong security, and flexible event-driven architecture for diverse applications.
 

Categories and Ranking

Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
9
Ranking in other categories
Data Integration (22nd), Streaming Analytics (10th)
webMethods.io
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
91
Ranking in other categories
Business-to-Business Middleware (4th), Enterprise Service Bus (ESB) (3rd), Managed File Transfer (MFT) (10th), API Management (10th), Cloud Data Integration (7th), Integration Platform as a Service (iPaaS) (5th)
 

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.
Derrick Brockel - PeerSpot reviewer
An integration platform that enables you to automate tasks by connecting apps and services
Follow best practices,engage in their professional services to help build your messaging system and to be PR have some PR emphasis and and blue Bluegreen deployment You could take half your your clusters out, upgrade them, and put them back in so you have a quick callback. And also patch quarterly, we got we got downbound. And and at that point, it's a little hard to get into the cycle when you're releasing software every every week, and you're trying to, go through an upgrade seven fifty servers, it's a little hard to get into the upgrade flow when when you're running that tight. I rate the overall solution an eight out of ten.
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Top Industries

By visitors reading reviews
Financial Services Firm
29%
Computer Software Company
17%
Manufacturing Company
7%
Retailer
6%
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
12%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with Spring Cloud Data Flow?
I would improve the dashboard features as they are not very user-friendly. Another area for improvement is the documentation, as it is not very precise. There are limited resources available on Spr...
What is your primary use case for Spring Cloud Data Flow?
I am a developer using Spring Cloud Dataflow. We primarily use it to convert our applications from monolithic to microservices. The solution is used for scheduling tasks in a specific order and ens...
What advice do you have for others considering Spring Cloud Data Flow?
My advice would be to thoroughly review the documentation and understand if Spring Cloud Dataflow is the right solution for your application. For applications with only one or two microservices, it...
What do you like most about Built.io Flow?
The tool helps us to streamline data integration. Its BPM is very strong and powerful. The solution helps us manage digital transformation.
What is your experience regarding pricing and costs for Built.io Flow?
webMethods.io is expensive. We have multiple components, and you need to pay for each of them.
What needs improvement with Built.io Flow?
webMethods.io needs to incorporate ChatGPT to enhance user experience. It can offer a customized user experience.
 

Also Known As

No data available
Built.io Flow, webMethods Integration Server, webMethods Trading Networks, webMethods ActiveTransfer, webMethods.io API
 

Learn More

Video not available
 

Overview

 

Sample Customers

Information Not Available
Cisco, Agralogics, Dreamforce, Cables & Sensors, Sacramento Kings
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