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MuleSoft Anypoint Platform vs Spring Cloud Data Flow comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

MuleSoft Anypoint Platform
Average Rating
8.0
Number of Reviews
55
Ranking in other categories
Message Queue (MQ) Software (3rd), Business-to-Business Middleware (2nd), Workload Automation (9th), Cloud Data Integration (4th), Integration Platform as a Service (iPaaS) (1st)
Spring Cloud Data Flow
Average Rating
7.8
Number of Reviews
8
Ranking in other categories
Data Integration (28th), Streaming Analytics (11th)
 

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 13.7%, up 13.8% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.0% mindshare, up 1.0% since last year.
Business-to-Business Middleware
Data Integration
 

Featured Reviews

KB
Mar 18, 2024
Easy to set it up, good support but we need to use APIs for external integration
When it comes to external systems, we need to use APIs. So, it needs some extra effort. 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. We need to use RESTful APIs to get and push messages. While it's doable, it's not as simple as using the pre-built connectors. In future releases, Anypoint MQ can increase the message size limit a little bit. We faced issues while working with SAP integrations. SAP can have very large files, and we couldn't handle those within the Anypoint MQ limit.
JA
Apr 4, 2023
Simple programming model, low maintenance, but interface could improve
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. When we are using Docker images as the applications, the UI does not work, or it is not clear how it works. In a feature release, it would be beneficial if there could be more supported languages. They only support Spring, Node.js, and Python.

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."
"The tool helps with order management and automates the enterprise's orchestration, invoice creation, product maintenance, and product life cycle. The API manager feature helps us configure, secure, and call APIs."
"The most valuable features for us are flexibility, all the features related to connectivity with multiple connectors to the business, and the flexibility of on-premises and cloud deployments."
"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."
"Good interface, simple to use and stable."
"The exchange and API management features are the best in the market."
"The tool’s API management capabilities are excellent."
"It is a stable product...The initial setup was simple."
"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 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 best thing I like about Spring Cloud Data Flow is its plug-and-play model."
"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 dashboards in Spring Cloud Dataflow are quite valuable."
"The most valuable feature is real-time streaming."
 

Cons

"Although the solution's proxy design and process are good, it faces connecting issues because it lacks data integration."
"The high price of the product is an area of concern where improvements are required."
"Anypoint MQ could improve the user interface."
"MuleSoft's release calendar is rather conventional with two major, two minor releases and hotfixes in between. The competition sometimes offer more rapid release cycles and provides improved and new functionality with a faster time-to-market."
"The product is expensive."
"Mule should have better B2B integration."
"Anypoint MQ's capabilities are mainly used for messaging purposes, but it doesn't have typical use cases that extend as far as other Message Queue software."
"The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"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."
"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."
"The solution's community support could be improved."
"I would improve the dashboard features as they are not very user-friendly."
 

Pricing and Cost Advice

"Making changes in Anypoint MQ is expensive."
"Mule Anypoint Platform is an expensive solution."
"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 product's price seems to be competent in comparison to other products in the market."
"The solution has a high price."
"The tool's pricing is cheaper than other RPAs' since it is execution-based. Other RPAs charge based on subscriptions."
"Mule Anypoint Platform is affordable."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
20%
Computer Software Company
15%
Financial Services Firm
10%
Manufacturing Company
8%
Financial Services Firm
28%
Computer Software Company
17%
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?
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 ...
What is your primary use case for Spring Cloud Data Flow?
I work with a leading company in the recruitment domain in India. When a job seeker applies for a job, we capture the intent. It has to flow by a certain pipeline to check all the scores and whethe...
What advice do you have for others considering Spring Cloud Data Flow?
Our experience with Spring Cloud Data Flow has been phenomenal. The best thing I like about it is you can plug and play any data source, including MongoDB, Elasticsearch, and MySQL. We had a use ca...
 

Also Known As

Data Integrator, Anypoint MQ
No data available
 

Learn More

 

Overview

 

Sample Customers

VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
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Find out what your peers are saying about MuleSoft Anypoint Platform vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.
801,634 professionals have used our research since 2012.