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 8.2, and holds a 9.0% mindshare in the category. Broadcom is ranked #30 in DI , with an average rating of 7.5, 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

12,774 Views
1,788 Comparison Views

92% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,699 Views
2,034 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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Helped 892,611 peers since 2012

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 (5th), 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 (30th), 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 9.0%, down 12.2% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 1.1% since last year.

Business-to-Business Middleware Mindshare Distribution
Product	Mindshare (%)
MuleSoft Anypoint Platform	9.0%
SEEBURGER Business Integration Suite	10.5%
IBM Sterling B2B Integration Services	10.1%
Other	70.4%

Business-to-Business Middleware

Data Integration Mindshare Distribution
Product	Mindshare (%)
Spring Cloud Data Flow	1.1%
SSIS	3.7%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	91.6%

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

"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 feature is the messaging system."

"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."

"It's easy to use and comes as a bundle package with the Anypoint Platform, removing the need for any complex setup."

"Whenever we need some support in our local language, we get it easily. They also have an office in Germany and if a person is unable to contact them by phone, they can go to the office in person."

"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."

"This is a good platform for designing, flowing out APIs, and then doing API-based integrations."

"The monitoring capabilities of this product are very good because of the feedback it supplies in statistics."

More MuleSoft Anypoint Platform pros

"The most valuable feature is real-time streaming."

"The product is very user-friendly."

"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 dashboards in Spring Cloud Dataflow are quite valuable."

"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."

"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 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."

More Spring Cloud Data Flow pros

Cons

"We would like an entire DevOps in place in this particular solution."

"Pricing model is very expensive, Mule should consider Pay as You go model."

"An on-premise setup requires special skills and you need a lot of professional services."

"The high price of the product is an area of concern where improvements are required."

"The stability could be better."

"Pricing is one aspect of the solution that is troublesome. It's too expensive for smaller organizations."

"Its documentation needed a little bit of work to make it more usable. It is a platform that is used mainly by developers and other people for connecting systems. Its documentation was confusing in some areas and was not very helpful in other areas. I had to go to a consultant to get some work done, which ideally shouldn't be required."

"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."

More MuleSoft Anypoint Platform cons

"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 solution's community support could be improved."

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

"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 is not an easy-to-use tool, so improvements are required."

"I would improve the dashboard features as they are not very user-friendly."

"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."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

"The tool's pricing is cheaper than other RPAs' since it is execution-based. Other RPAs charge based on subscriptions."

"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."

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

"The product's price seems to be competent in comparison to other products in the market."

"I rate the product price a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"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."

"Regarding pricing, I believe there could be room for improvement to align with user expectations."

More MuleSoft Anypoint Platform pricing and cost advice

"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

Financial Services Firm

12%

Manufacturing Company

11%

Computer Software Company

Government

Financial Services Firm

18%

Computer Software Company

10%

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

April 2026

Download MuleSoft Anypoint Platform product report

Buyer's Guide

Spring Cloud Data Flow

April 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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