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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
6.5
Number of Reviews
62
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (1st), Workload Automation (5th), Cloud Data Integration (6th), Integration Platform as a Service (iPaaS) (1st)
Spring Cloud Data Flow
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Integration (31st), Streaming Analytics (16th)
 

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 11.9% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.0% mindshare, down 1.1% since last year.
Business-to-Business Middleware Mindshare Distribution
ProductMindshare (%)
MuleSoft Anypoint Platform8.7%
SEEBURGER Business Integration Suite10.4%
IBM Sterling B2B Integration Services9.7%
Other71.2%
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 tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"Messaging and queueing solution that has good stability and scalability."
"The API-led approach of MuleSoft offers a very cost-efficient model and re-use for implementation and support of microservices, APIs and generic services when followed correctly, and is fully supported and enabled by the web engagement tools of the platform (Anypoint Exchange, Anypoint Portals, and Anypoint Design Center)."
"The Mule Anypoint Platform is one of the best integration solutions and they come up with new updates which are required, whereas other solutions do not have the latest updates."
"Mule is very scalable, and it is one of the prime reasons we use it."
"The most valuable feature of Anypoint MQ is it comes with MuleSoft so we don't have to maintain separate components."
"Good interface, simple to use and stable."
"The use of ACK is valuable."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"This product will assist us in saving costs in many ways: No longer need to continue paying high fees for proprietary software, reduce the number of software engineers needed to support the product, and achieve faster time to market by using this product for our middleware."
"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 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 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 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 most valuable feature is real-time streaming."
"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."
 

Cons

"Technical support needs to be improved, especially when you need help with more technical aspects of the solution."
"We would like an entire DevOps in place in this particular solution."
"There are so many solutions like this, but this is not as mature as those products. The other MQ products have the capability of reprocessing and maintaining the persistence of the data."
"Lacks intelligent management data and intelligent mappings."
"When you try using it for the processing layer, it doesn't work well."
"The solution's licensing model is expensive and could be improved."
"Its documentation needed a little bit of work to make it more usable. Its documentation was confusing in some areas and was not very helpful in other areas."
"MuleSoft is considered one of the more expensive products in the market."
"The visual user interface could use some help; it needs improvement."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"The documentation on offer is not that good."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"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 solution's community support could be improved."
 

Pricing and Cost Advice

"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 Anypoint Platform is an expensive solution."
"Regarding pricing, I believe there could be room for improvement to align with user expectations."
"The product comes complete at one set price including support."
"The licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."
"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."
"Price-wise, it is a good product since it is reasonably priced."
"Mule Anypoint Platform pricing is slightly higher compared to Dell Boomi."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
11%
Computer Software Company
8%
Government
6%
Financial Services Firm
18%
Computer Software Company
10%
Retailer
8%
Manufacturing Company
6%
 

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 MuleSoft Anypoint Platform vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.
896,692 professionals have used our research since 2012.