MuleSoft Anypoint Platform vs Spring Cloud Data Flow comparison

The compared Salesforce and Broadcom solutions aren't in the same category. Salesforce is ranked #1 in BBM , with an average rating of 8.3, and holds a 8.8% mindshare in the category. Broadcom is ranked #23 in DI , with an average rating of 7.8, and holds a 1.1% mindshare. Additionally, 92% of Salesforce users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

MuleSoft Anypoint Platform

Read 60 MuleSoft Anypoint Platform reviews

10,653 Views
1,278 Comparison Views

92% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,140 Views
1,601 Comparison Views

88% willing to recommend

MuleSoft Anypoint Platform

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between MuleSoft Anypoint Platform and Spring Cloud Data Flow based on real PeerSpot user reviews.

Find out in this report how the two Business-to-Business Middleware solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed MuleSoft Anypoint Platform vs. Spring Cloud Data Flow Report (Updated: August 2022).

Buyer's Guide

MuleSoft Anypoint Platform vs. Spring Cloud Data Flow

August 2022

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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

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

Ranking in other categories

Data Integration (23rd), 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
Product	Mindshare (%)
MuleSoft Anypoint Platform	8.8%
IBM Sterling B2B Integration Services	13.2%
SEEBURGER Business Integration Suite	10.9%
Other	67.1%

Business-to-Business Middleware

Data Integration Mindshare Distribution
Product	Mindshare (%)
Spring Cloud Data Flow	1.1%
SSIS	3.6%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	91.7%

Data Integration

Featured Reviews

Greg O

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.

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NitinGoyal

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.

Read full review

Quotes from Members

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

Pros

"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 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."

"It reduces manual loads in maintaining servers as it comes with the Cloud Hub feature."

"The API-led connectivity approach of MuleSoft Anypoint Platform offers specific functionality based on various conditions."

"The initial setup is quite easy because the solution has a good interface through which the configuration, mapping, and so on can be done."

"The most valuable feature is the messaging system."

"Mule Anypoint Platform's valuable features are its flexibility in terms of deployment and its SaaS capabilities."

"The integration potential is excellent, it has a very good database, there is no complexity during the initial setup, the solution is scalable, the stability is great, we have found the documentation to be excellent, and it has very good filters available."

More MuleSoft Anypoint Platform pros

"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."

"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."

"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 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."

"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."

"The dashboards in Spring Cloud Dataflow are quite valuable."

"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."

More Spring Cloud Data Flow pros

Cons

"Previously, Mule version 3 was, of course, very unstable."

"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."

"Better documentation, in particular with respect to the initial setup, would be helpful."

"There is not much information on the internet...The transforming message is an area in the solution that needs to be improved."

"The solution's licensing model is expensive and could be improved."

"Pricing is one aspect of the solution that is troublesome."

"The product does not provide a priority level for the message."

"The customer service is not good enough"

More MuleSoft Anypoint Platform cons

"The solution's community support could be improved."

"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 documentation on offer is not that good."

"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."

"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."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"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."

More Spring Cloud Data Flow cons

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."

"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 product comes complete at one set price including support."

"Mule Anypoint Platform pricing is slightly higher compared to Dell Boomi."

"MuleSoft Anypoint Platform really needs to work on its pricing model because it's very complicated."

"Mule is not the cheapest integration platform out there, but it deserves the price we are paying."

"The solution is the priciest in the market which is an issue for some clients."

"Price-wise, it is a good product since it is reasonably priced."

More MuleSoft Anypoint Platform pricing and cost advice

"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

Government

Financial Services Firm

17%

Computer Software Company

12%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	12
Large Enterprise	30

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

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...

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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...

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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...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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Product Reports

Buyer's Guide

MuleSoft Anypoint Platform

March 2026

Download MuleSoft Anypoint Platform product report

Buyer's Guide

Spring Cloud Data Flow

March 2026

Download Spring Cloud Data Flow product report

Also Known As

Data Integrator, Anypoint MQ

No data available

Overview

MuleSoft Anypoint Platform provides API management and integration capabilities with scalability, ensuring seamless connectivity across systems.

MuleSoft Anypoint Platform offers API management and integration capabilities within a user-friendly interface. With a range of connectors and the ability to handle integration patterns, it enables data integration across environments with support for API-led connectivity. High scalability, observability, batch processing, and tooling are key features, enhancing performance while simplifying deployment.

What are the standout features of MuleSoft Anypoint Platform?

API Management: Comprehensive tools for managing APIs effectively.
Integration Capabilities: Facilitates diverse integration patterns.
Connectors: Extensive library for connecting various systems.
Observability: Enhances monitoring and performance tracking.
Batch Processing: Manages large volumes of data efficiently.

What benefits and ROI should users expect?

Scalability: Adaptable to growing data demands across platforms.
Performance: Simplifies complex deployments and improves processing.
Flexibility: Supports multiple environments, from cloud to on-premises.
User-Friendly: Streamlines integration processes with robust tools.

MuleSoft Anypoint Platform is employed by organizations for API management and seamless integration across systems in industries like retail and e-commerce. It connects enterprise applications in environments such as SAP and Salesforce. Users leverage it for data transformation and synchronization, achieving efficient real-time processing and a middleware layer across systems.

Salesforce

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Broadcom

Sample Customers

VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren

Information Not Available

Buyer's Guide

MuleSoft Anypoint Platform vs. Spring Cloud Data Flow

August 2022

Free Report: MuleSoft Anypoint Platform vs. Spring Cloud Data Flow

Find out what your peers are saying about MuleSoft Anypoint Platform vs. Spring Cloud Data Flow and other solutions. Updated: August 2022.

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