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MuleSoft Anypoint Platform vs Spring Cloud Data Flow 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:
 

ROI

Sentiment score
6.7
MuleSoft Anypoint Platform lowers costs and technical debt, enhancing efficiency through API reuse, benefiting larger enterprises significantly.
No sentiment score available
 

Customer Service

Sentiment score
6.7
MuleSoft Anypoint Platform offers responsive support with varying service levels, but documentation and response times need improvement.
Sentiment score
5.1
Spring Cloud Data Flow's strong community and documentation help users, despite the lack of direct technical support.
 

Scalability Issues

Sentiment score
7.8
MuleSoft Anypoint Platform is highly scalable and suited for enterprises, but requires investment for optimal performance and integration.
No sentiment score available
MuleSoft provides the ability to scale, yet it is costly to do so.
 

Stability Issues

Sentiment score
7.9
MuleSoft Anypoint Platform is stable and reliable, but connector issues and external factors may affect its consistency.
No sentiment score available
 

Room For Improvement

MuleSoft Anypoint Platform requires improved error handling, scalability, support, integration options, and enhanced performance, security, and pricing flexibility.
MuleSoft is considered expensive, so pricing is a major concern.
 

Setup Cost

MuleSoft Anypoint Platform's high pricing challenges small businesses despite benefits, though a pay-as-you-go model may improve accessibility.
MuleSoft is considered one of the more expensive products in the market.
 

Valuable Features

MuleSoft Anypoint Platform excels in API management, offering easy integration, visual design, scalability, and seamless microservices support.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
 

Categories and Ranking

MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
56
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (2nd), Workload Automation (10th), Cloud Data Integration (4th), Integration Platform as a Service (iPaaS) (2nd)
Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (23rd), Streaming Analytics (9th)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. MuleSoft Anypoint Platform is designed for Business-to-Business Middleware and holds a mindshare of 14.0%, up 14.0% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 1.0% since last year.
Business-to-Business Middleware
Data Integration
 

Featured Reviews

Vijay Subramanyam - PeerSpot reviewer
Robust, reliable, and stable, ensuring high availability for critical integrations
I would rate the scalability an eight out of ten; it is a highly scalable solution. We have around 200 end users using this solution in our company. We use it to its maximum capacity. However, it's not for P1 applications, but definitely for severity two cases (P2 level). It integrates critical applications, but it's not a platform that, if it stops, the entire system would come down. So, it's more like a severity two level. However, it has the potential to eventually become a P1 platform. Not exactly P1 applications, but a P1 platform. Because now we are still in the transition to migrate everything, all the integrations to Mule Anypoint Platform. But once it's done, then this platform becomes critical. Because even now, we have point-to-point connections.
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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824,053 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
23%
Computer Software Company
13%
Financial Services Firm
10%
Manufacturing Company
8%
Financial Services Firm
27%
Computer Software Company
18%
Manufacturing Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What advice do you have for others considering Mule Anypoint Platform?
I architected solutions using Oracle SOA/OSB, Spring Boot, MuleSoft Anypoint Platform on cloud / on-premises and hybrid modes; What I see is though if you are an enterprise and have enough money th...
How does TIBCO BusinessWorks compare with Mule Anypoint Platform?
Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule...
What can Mule Anypoint Platform be used for and what do you use it for most often?
This is a very flexible solution that comes with multiple uses. My organization mostly uses Mule Anypoint Platform for API management, as it lets us build new APIs easily and design new interfaces...
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

Data Integrator, Anypoint MQ
No data available
 

Learn More

 

Overview

 

Sample Customers

VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
Information Not Available
Find out what your peers are saying about MuleSoft Anypoint Platform vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.
824,053 professionals have used our research since 2012.