MuleSoft Anypoint Platform vs Spring Cloud Data Flow comparison

The compared Salesforce and VMware solutions aren't in the same category. Salesforce is ranked #1 in BBM , with an average rating of 8.0, and holds a 11.1% mindshare in the category. VMware is ranked #21 in DI , with an average rating of 7.8, and holds a 1.2% mindshare. Additionally, 92% of Salesforce users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

MuleSoft Anypoint Platform

Read 58 MuleSoft Anypoint Platform reviews

12,539 Views
1,379 Comparison Views

92% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,372 Views
1,281 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 861,524 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

6.9

Number of Reviews

Ranking in other categories

Message Queue (MQ) Software (3rd), 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 (21st), 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 11.1%, down 14.8% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.2% mindshare, up 0.9% since last year.

Business-to-Business Middleware

Data Integration

Featured Reviews

Tolulope A. Adeniji

Retired at a educational organization with 11-50 employees

Provides application integration and reduces time and effort during upgrades

One of the most valuable aspects was its impact on reducing time and effort during upgrades. Previously, SAP upgrades required significant coordination with multiple teams. Now, thanks to our streamlined integration approach, the SAP team interacts primarily with the integration team. When changes are needed, we simply create a new version. This allows application teams to migrate gradually from the old version to the new one, without extensive involvement from the SAP team. Moreover, our approach has improved reliability by eliminating duplicated efforts. Previously, different teams would often duplicate data sets due to inefficiencies in data naming conventions. We centralized data integration, ensuring that all applications use the same data set.

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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.

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Quotes from Members

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

Pros

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

"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 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 full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API."

"The product’s ability to seamlessly translate protocols is great."

"This is the easiest and best tool available."

"The solution's deployment and proxy processes are very good."

"Mule works very well with Salesforce and CRMs."

More MuleSoft Anypoint Platform pros

"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 dashboards in Spring Cloud Dataflow are quite valuable."

"The product is very user-friendly."

"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 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."

"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."

Cons

"Adding connectors for new upcoming applications would add extra value to this product."

"The compatibility with vendors can be improved. Microsoft Azure heavily uses single software."

"Over the years, Mule Anypoint Platform has undergone significant improvements. When I first started using it, the API gateway capabilities were fairly basic."

"Mule Anypoint Platform could improve by having better integration with MDM. There are challenges when doing the interaction at this time."

"It should give better control over account management."

"The solution's pricing model is very strange, and it will be really expensive if you use APIs a lot."

"One area for improvement is the Community Hub or developer portal, which should be part of the base offering."

"Price-wise, it is a good product since it is reasonably priced...Mule Anypoint Platform can get too complex for non-technical people."

More MuleSoft Anypoint Platform cons

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

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"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."

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

"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."

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

Pricing and Cost Advice

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

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

"The solution's pricing, as per the old approach, is expensive."

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

"Mule Anypoint Platform is affordable."

"Mule Anypoint Platform is an expensive solution."

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

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

More MuleSoft Anypoint Platform pricing and cost advice

"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

Computer Software Company

15%

Financial Services Firm

13%

Manufacturing Company

10%

Educational Organization

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

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...

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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...

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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...

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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...

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Product Reports

Buyer's Guide

MuleSoft Anypoint Platform

June 2025

Download MuleSoft Anypoint Platform product report

Buyer's Guide

Spring Cloud Data Flow

June 2025

Download Spring Cloud Data Flow product report

Also Known As

Data Integrator, Anypoint MQ

No data available

Overview

MuleSoft Anypoint Platform is used for integration and API management, connecting enterprise applications across retail, e-commerce, and supply chain. It supports cloud-to-cloud and cloud-to-on-premises scenarios with real-time and asynchronous messaging.

Users leverage MuleSoft Anypoint Platform for diverse integrations including cloud-based and on-premises, enabling data transformations, middleware functions, and hybrid integrations. It seamlessly connects systems like SAP, Salesforce, and Oracle, facilitating data transfers and integrating legacy systems. The platform offers a graphic interface, quick implementation, and a variety of connectors, contributing to its popularity for robust and scalable solutions. Despite its strengths, users seek better technical support, more connectors, simplified runtime management, and improved documentation.

What are the key features of MuleSoft Anypoint Platform?

Marketplace for integration platforms: Provides pre-built connectors and templates.
API management: Efficient management and monitoring of APIs.
Graphic interface: User-friendly design for ease of use.
Monitoring capabilities: Comprehensive monitoring and observability features.
Quick implementation: Rapid deployment of integrations and APIs.
Pre-built templates: Ready-to-use templates for common integrations.
Stability and performance: Reliable and high-performing platform.
Data transformation with DataWeave: Powerful tool for data mapping and transformation.
Support for hybrid deployments: Flexibility to integrate cloud and on-premises systems.

What benefits and ROI can users expect?

Increased connectivity: Seamless integration of multiple systems.
Operational efficiency: Streamlined processes and data flows.
Scalability: Ability to grow with business needs.
Cost savings: Reduced development time with pre-built components.
Enhanced visibility: Improved monitoring and management of integrations.

Enterprises in retail, e-commerce, and supply chain implement MuleSoft Anypoint Platform to connect various applications and systems. It supports real-time messaging for inventory management, synchronizes customer data across platforms, and integrates with legacy systems for smooth data migration. Users benefit from quick deployments and a marketplace that accelerates integration projects.

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.

VMware

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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