MuleSoft Anypoint Platform vs Spring Cloud Data Flow comparison

The compared Salesforce and VMware solutions aren't in the same category. Salesforce is ranked #2 in BBM , with an average rating of 8.2, and holds a 14.3% mindshare in the category. VMware is ranked #22 in DI , with an average rating of 7.6, and holds a 1.1% mindshare. Additionally, 91% of Salesforce users are willing to recommend the solution, compared to 87% of VMware users who would recommend it.

MuleSoft Anypoint Platform

Read 55 MuleSoft Anypoint Platform reviews

2,506 Views
1,593 Comparison Views

91% willing to recommend

Spring Cloud Data Flow

Read 8 Spring Cloud Data Flow reviews

1,829 Views
1,384 Comparison Views

87% 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 814,763 peers since 2012

Categories and Ranking

MuleSoft Anypoint Platform

Average Rating

8.0

Number of Reviews

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) (2nd)

Spring Cloud Data Flow

Average Rating

7.8

Number of Reviews

Ranking in other categories

Data Integration (22nd), 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 14.3%, up 13.9% 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

Data Integration

Featured Reviews

Corydon Hinton

Principal Systems Engineer at Bigfoot Biomedical, Inc.

Mar 19, 2024

Can seamlessly translate protocols and produce fairly quick results

Using the solution was great. It was part of the project that we didn't worry that much about. What I also liked about it was that even though I'm not that technical, I could go in and look at thoughts and events and confirm that the information we were looking for was making it across. I could check at the interface level and lessen the burden on validation within the application. The instrumentation within the solution is important. The ease of implementation is very important. Our partner development team had little trouble dealing with these diverse systems, with JSON on the one hand and SOAP on the other. The product’s ability to seamlessly translate protocols is great. The API-led connectivity is great. The reason that we took on the product was that we wanted to learn about it. We wanted to figure out how to use it. A big payoff for this will be in EHR integrations. These systems are all alike, yet they are all different. They all use EPIC, and each installation is a little bit different. It’s a challenge when we go to different hospitals. MuleSoft has made a name for itself in using the integrations.

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NitinGoyal

Engineering Lead at Naukri.com

Aug 15, 2024

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

"It can scale."

"The flexibility has been great overall."

"It is a stable product...The initial setup was simple."

"The most valuable feature is their integrations and very good API management."

"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."

"Customers can make use of Runtime Fabric, an RTF environment."

"API management."

"This is the easiest and best tool available."

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 product is very user-friendly."

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

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

"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."

"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

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

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

"Technical support needs to be improved, especially when you need help with more technical aspects of the solution."

"One area we'd like to see improvement in is the error logging and troubleshooting process."

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

"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."

"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."

"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."

More MuleSoft Anypoint Platform cons

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

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

"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."

Pricing and Cost Advice

"Licensing can be complex as is the case with most iPaaS/cloud offerings."

"The licensing is core-based. My customers tell me that it's very expensive compared to the cost of other integration suites."

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

"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 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 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."

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

"The solution has a high price."

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

Educational Organization

21%

Computer Software Company

14%

Financial Services Firm

10%

Manufacturing Company

Financial Services Firm

29%

Computer Software Company

16%

Manufacturing Company

Retailer

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?

I would improve the dashboard features as they are not very user-friendly. Another area for improvement is the documentation, as it is not very precise. There are limited resources available on Spr...

See all answers

What is your primary use case for Spring Cloud Data Flow?

I am a developer using Spring Cloud Dataflow. We primarily use it to convert our applications from monolithic to microservices. The solution is used for scheduling tasks in a specific order and ens...

See all answers

What advice do you have for others considering Spring Cloud Data Flow?

My advice would be to thoroughly review the documentation and understand if Spring Cloud Dataflow is the right solution for your application. For applications with only one or two microservices, it...

See all answers

Comparisons

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Amazon SQS vs MuleSoft Anypoint Platform

Compared 6% of the time

MuleSoft Composer vs MuleSoft Anypoint Platform

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Compared 33% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 10% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 9% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 7% of the time

Databricks vs Spring Cloud Data Flow

Compared 3% of the time

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Product Reports

Buyer's Guide

MuleSoft Anypoint Platform

October 2024

Download MuleSoft Anypoint Platform product report

Buyer's Guide

Spring Cloud Data Flow

October 2024

Download Spring Cloud Data Flow product report

Also Known As

Data Integrator, Anypoint MQ

No data available

Learn More

Salesforce

VMware

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.

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.

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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