No more typing reviews! Try our Samantha, our new voice AI agent.

MuleSoft Anypoint Platform vs Spring Cloud Data Flow comparison

Why PeerSpot?
 

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

MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
62
Ranking in other categories
Message Queue (MQ) Software (6th), Business-to-Business Middleware (4th), Workload Automation (10th), Cloud Data Integration (10th), Integration Platform as a Service (iPaaS) (4th)
Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (33rd), Streaming Analytics (18th)
 

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 8.7%, down 10.7% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.0% mindshare, down 1.2% since last year.
Business-to-Business Middleware Mindshare Distribution
ProductMindshare (%)
MuleSoft Anypoint Platform8.7%
SEEBURGER Business Integration Suite10.1%
IBM B2B Integrator8.4%
Other72.80000000000001%
Business-to-Business Middleware
Data Integration Mindshare Distribution
ProductMindshare (%)
Spring Cloud Data Flow1.0%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
SSIS3.6%
Other91.7%
Data Integration
 

Featured Reviews

GO
Senior Validation Engineer at Weir Group PLC
Integration workflows have become transparent and secure while error tracking is streamlined
The best features in MuleSoft Anypoint Platform for me are transparency between logging in or deploying and using different environments. Managing different environments for the transparency of error logins or how to trace traceability is very important. It's very easy to use and sort, so you can see where everything has gone right and everything has gone wrong. I'm aware of the drag-and-drop interface in MuleSoft Anypoint Platform, and it's very, very quick. It's very time-saving and very efficient. The security features on MuleSoft Anypoint Platform help maintain data integrity in my organization; I would say it's second to none. It's one of the best out there that I have worked with because of the encryption and decryption, and there are a lot of security aspects. I would assess the platform's data mapping and transformation capabilities as amazing. Automation has been straightforward; the transformation and mapping have been easy to use, easy to source, and from the source to the target. I would say it has been very good.
NitinGoyal - PeerSpot reviewer
Engineering Lead at Naukri.com
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

"The customer service and technical support are unique compared to other providers, as they are very involved, very responsive, and very eager to help and to provide what we need."
"It reduces manual loads in maintaining servers as it comes with the Cloud Hub feature."
"Overall, it is a pretty good product and it is also very scalable."
"The exchange and API management features are the best in the market."
"The API management capability of Mule Anypoint Platform has improved my customer's workflows by providing an automated system for processes they were previously doing manually, resulting in an improvement in their performance."
"The solution is very scalable with solid performance and the capability of extending it using any custom Java in case you don't have anything out of the box. MDP is strong. It is good compared to other products regarding its capabilities in managing or orchestrating the issue load."
"MuleSoft offers with the Anypoint Platform a unified platform for API management and an integration Platform as a Service (iPaaS) as well as an on-premise Enterprise Service Bus pattern."
"The most valuable feature of this solution is the ease of developing APIs."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"Overall, Spring Cloud Data Flow is a really good solution and a lot cheaper than a lot of infrastructure provided by big companies like Google or Amazon."
"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 product is very user-friendly."
"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 most valuable feature is real-time streaming."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
 

Cons

"The pricing should be improved, it's an expensive product."
"The compatibility with vendors can be improved. Microsoft Azure heavily uses single software."
"When we are integrating with other applications, readily available connectors make it easy. However, when it comes to external applications, connectivity isn't as straightforward."
"Adding connectors for new upcoming applications would add extra value to this product."
"The product is expensive."
"I would rate the scalability of Mule Anypoint Platform as a six because they do not provide autoscalable solutions yet; the version we are using does not automatically adjust capacity based on the load."
"We sometimes face issues with debugging and Java errors that we get in the Mule runtime."
"Mule should have better B2B integration."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The solution's community support could be improved."
"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."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"The visual user interface could use some help; it needs improvement."
"The documentation on offer is not that good."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
 

Pricing and Cost Advice

"Regarding pricing, I believe there could be room for improvement to align with user expectations."
"Making changes in Anypoint MQ is expensive."
"I can't give you a straightforward answer because sometimes it depends on the usage. If you're going to have fewer than 5 million messages, it is free of cost. If you're going to have more than 5 million messages, they're going to charge $100 per month"
"Mule is not the cheapest integration platform out there, but it deserves the price we are paying."
"The solution's pricing, as per the old approach, is expensive."
"On a scale of one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing as four or five out of ten."
"The licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."
"The tool's pricing is cheaper than other RPAs' since it is execution-based. Other RPAs charge based on subscriptions."
"The solution provides value for money, and we are currently using its community edition."
"This is an open-source product that can be used free of charge."
"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."
report
Use our free recommendation engine to learn which Business-to-Business Middleware solutions are best for your needs.
913,349 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
10%
Financial Services Firm
10%
Outsourcing Company
8%
Computer Software Company
7%
Financial Services Firm
17%
Computer Software Company
10%
Outsourcing Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise12
Large Enterprise31
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

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
 

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 Informatica, Seeburger, IBM and others in Business-to-Business Middleware. Updated: August 2026.
913,349 professionals have used our research since 2012.