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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
6.8
Number of Reviews
57
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 (22nd), 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 12.5%, down 15.9% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 0.8% 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

"It has improved our organization a lot because of the increase in productivity, and it has simplified the development of products. MuleSoft Anypoint Platform is a highly effective tool where you can build integrations so effectively. If you establish the integration platform, it increases productivity. It helps us to do effective re-authentication, and it speeds the integration."
"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."
"Customers can make use of Runtime Fabric, an RTF environment."
"I have found several things most valuable, including its very quick implementation that you can use a lot of out of the box templates, and lastly that it is a very mature product, especially in hybrid integration."
"The use of ACK is valuable."
"The most valuable feature is the variety of characters Anypoint Platform has. It is very scalable and customizable."
"The most valuable feature of the solution is a huge list of available connectors for a lot of different platforms, which we can use very easily."
"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 most valuable feature is real-time streaming."
"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 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."
"The dashboards in Spring Cloud Dataflow are quite valuable."
 

Cons

"The product does not provide a priority level for the message."
"The runtime management and connectors could use some work and are vulnerable to breakage after upgrades."
"Better documentation, in particular with respect to the initial setup, would be helpful."
"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."
"It's extremely expensive to change things in Anypoint MQ. There's also this issue of slow output of messages, and that needs to be improved."
"It has different types of subscriptions. For platinum or lower subscriptions, there are not too many things that can be done. We don't see many features. They should release a basic version that has logging and monitoring features. These features should come with Mule Anypoint Platform for free instead of making customers pay separately for these features. Its dashboard can be improved to have a lot of charts so that it is easy to visualize information. The utilization part can be improved. The dashboard is good currently, but it can be better. Other solutions like Elastic have a good dashboard, and they allow you to administer the product from the UI. Currently, for RTF, there is a different dashboard or utility. It would be good to include the same utility in the cloud solution. It would be good if there is a centralized repository that includes the links to the information about various troubleshooting issues. The documentation is there currently, and it is good, but the troubleshooting information is too scattered. We have to go to different links to find troubleshooting information. This kind of centralized repository would be helpful for new customers who are implementing this solution. It will be helpful to see different kinds of issues that can occur."
"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."
"The tool requires programming language."
"I would improve the dashboard features as they are not very user-friendly."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"The solution's community support could be improved."
"Spring Cloud Data Flow is not an easy-to-use tool, so 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."
"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."
"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."
 

Pricing and Cost Advice

"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 licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."
"The product's price seems to be competent in comparison to other products in the market."
"Mule Anypoint Platform is affordable."
"Price-wise, it is a good product since it is reasonably priced."
"MuleSoft Anypoint Platform really needs to work on its pricing model because it's very complicated."
"Making changes in Anypoint MQ is expensive."
"The solution is the priciest in the market which is an issue for some clients."
"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."
"The solution provides value for money, and we are currently using its community edition."
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Top Industries

By visitors reading reviews
Educational Organization
25%
Computer Software Company
13%
Financial Services Firm
10%
Manufacturing Company
9%
Financial Services Firm
25%
Computer Software Company
18%
Manufacturing Company
7%
Retailer
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.
838,713 professionals have used our research since 2012.