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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:
 

Categories and Ranking

MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
60
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (1st), Workload Automation (4th), 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 (22nd), Streaming Analytics (10th)
 

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 8.8%, down 12.5% 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 Mindshare Distribution
ProductMindshare (%)
MuleSoft Anypoint Platform8.8%
IBM Sterling B2B Integration Services13.2%
SEEBURGER Business Integration Suite10.9%
Other67.1%
Business-to-Business Middleware
Data Integration Mindshare Distribution
ProductMindshare (%)
Spring Cloud Data Flow1.1%
SSIS3.6%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
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 tool’s API management capabilities are excellent."
"The community manager is the standout feature of the Mule Anypoint Platform, as it provides a platform to showcase your API to external parties. It is exceptionally user-friendly and enables external parties to easily utilize and consume the APIs."
"It can scale."
"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."
"The most valuable feature of Mule Anypoint Platform is rapid development."
"It's easy to use and comes as a bundle package with the Anypoint Platform, removing the need for any complex setup."
"It's easy to develop APIs."
"The product is very user-friendly."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The product is very user-friendly."
"The most valuable feature is real-time streaming."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"The dashboards in Spring Cloud Dataflow are quite valuable."
"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 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."
 

Cons

"The compatibility with vendors can be improved. Microsoft Azure heavily uses single software."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"In order to set up a storefront, we currently rely on a third-party solution. It would greatly enhance our operations if this feature was integrated into their existing solution."
"There is not much information on the internet...The transforming message is an area in the solution that needs to be improved."
"It doesn't work well when you try using it for the processing layer."
"What I hear from my customers is that it's very expensive compared to the cost of other integration suites. The cost keeps increasing. MuleSoft should come up with customization factors by using a different way of getting the cost-related stuff to attract customers. That is, they should come up with some cost optimizations."
"Lacks intelligent management data and intelligent mappings."
"Better documentation, in particular with respect to the initial setup, would be helpful."
"I would improve the dashboard features as they are not very user-friendly."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"The solution's community support could be improved."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
 

Pricing and Cost Advice

"The licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."
"The product is still very expensive."
"The tool is heavily bundle-priced. I rate the solution’s pricing five on a scale of ten, where one is expensive, and ten is cheap."
"I rate the product price a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"The solution is the priciest in the market which is an issue for some clients."
"Mule is not the cheapest integration platform out there, but it deserves the price we are paying."
"Licensing can be complex as is the case with most iPaaS/cloud offerings."
"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."
"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."
"This is an open-source product that can be used free of charge."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
11%
Computer Software Company
9%
Government
6%
Financial Services Firm
18%
Computer Software Company
13%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise12
Large Enterprise30
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 MuleSoft Anypoint Platform vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.
884,797 professionals have used our research since 2012.