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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
6.9
Number of Reviews
58
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (1st), Workload Automation (8th), 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 (24th), 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 11.9%, down 15.6% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 0.9% 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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable features of the Mule Anypoint Platform are the Flex Gateway, API management, easy-to-use, and connectors. Additionally, they are coming out with improvements to the solution when required."
"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."
"The most beneficial features for handling data integration with Mule Anypoint Platform include its ability to integrate seamlessly with other popular platforms like IBM, Dell Boomi, and Microsoft Azure. MuleSoft stands out due to its unique one-point solution for various integration problems, including application and network integration, and its iPaaS services. The Design Center allows for designing APIs that can be made into reusable assets. Additionally, MuleSoft's capability to handle various technologies, such as Python and Java Spring Boot APIs, and monitor them using the Flex Gateway is valuable. Regarding API management, MuleSoft offers a gateway facility, including Flex Gateway, which supports API management with robust governance capabilities. Policies like rate limiting, blocklisting, allowlisting, and client ID enforcement can all be managed through the API Manager, providing comprehensive control over API operations."
"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 solution is scalable, and its performance is quite good."
"It is very easy to use for building connectors. It comes with a lot of connectors. For example, it has different adapters for NetSuite, which are very easy to use. It also has Salesforce connectors. The object store feature is also really easy to use. Mule Anypoint Platform is also good in terms of performance and how it is managed behind the scenes."
"Mule Anypoint Platform is our preferred platform for integration."
"The API toolkit is the solution's most valuable aspect at this time, for our organization."
"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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 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 dashboards in Spring Cloud Dataflow are quite valuable."
"The most valuable feature is real-time streaming."
 

Cons

"From a monitoring point of view, MuleSoft Anypoint Platform can improve on tracking transactions."
"Lacks intelligent management data and intelligent mappings."
"An on-premise setup requires special skills and you need a lot of professional services."
"It would be better if we had a clearer view of the solution's future releases."
"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."
"The compatibility with vendors can be improved. Microsoft Azure heavily uses single software."
"The product is expensive."
"Mule Anypoint Platform should improve its pricing. In my experience, a customer using the sandbox version couldn't upgrade to the final version because it exceeded their budget. Another area for improvement is the login mechanism. We need to integrate with third-party products for strong authentication, but it would be better if MuleSoft had its own robust login mechanism."
"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."
"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."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The solution's community support could be improved."
"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 configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"I would improve the dashboard features as they are not very user-friendly."
 

Pricing and Cost Advice

"Regarding pricing, I believe there could be room for improvement to align with user expectations."
"Mule Anypoint Platform is affordable."
"The solution is the priciest in the market which is an issue for some clients."
"Making changes in Anypoint MQ is expensive."
"Mule Anypoint Platform pricing is slightly higher compared to Dell Boomi."
"The product is still very expensive."
"Mule Anypoint Platform is an expensive solution."
"The pricing of our solution is highly competitive. While it may not be categorized as exceptionally low, it is certainly more affordable compared to IBM."
"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
Educational Organization
22%
Computer Software Company
13%
Financial Services Firm
10%
Manufacturing Company
9%
Financial Services Firm
26%
Computer Software Company
17%
Retailer
7%
Manufacturing Company
6%
 

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
 

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.
847,772 professionals have used our research since 2012.