Try our new research platform with insights from 80,000+ expert users

CloverDX Designer vs MuleSoft Anypoint Platform comparison

 

Comparison Buyer's Guide

Executive Summary

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

CloverDX Designer
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
Data Integration (78th)
MuleSoft Anypoint Platform
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
59
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)
 

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. CloverDX Designer is designed for Data Integration and holds a mindshare of 0.3%, up 0.1% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 10.6% mindshare, down 14.0% since last year.
Data Integration Market Share Distribution
ProductMarket Share (%)
CloverDX Designer0.3%
Informatica PowerCenter6.0%
SSIS5.7%
Other88.0%
Data Integration
Business-to-Business Middleware Market Share Distribution
ProductMarket Share (%)
MuleSoft Anypoint Platform10.6%
IBM Sterling B2B Integration Services15.1%
webMethods.io11.9%
Other62.4%
Business-to-Business Middleware
 

Featured Reviews

reviewer1518951 - PeerSpot reviewer
Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring
If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler.
Mohan BS - PeerSpot reviewer
A useful tool to integrate applications and for data transformations that need to improve in the area of price and support
The main area where improvements are required in the product revolves around budgeting. The cost of the product is an area of concern where improvements are required, especially when compared to other tools, like Dell Boomi or Oracle. Mule Anypoint Platform is made available with many components, and whether users use them or not depends on their choices. For example, though there is a tool called Anypoint MQ, our organization prefers to pay and use Kafka, as we don't want to use MuleSoft Anypoint MQ. In Mule Anypoint Platform, there needs to be proper segregation to help users identify what they need and don't need, making it an area where users need to be careful when opting for MuleSoft. Mule Anypoint Platform is an integration tool and not an ETL solution. When a user has to deal with a huge number of data, then Mule Anypoint Platform should not be a preferred choice since it can only be used for lightweight purposes revolving around APIs. There is a need to have a clear architectural decision made before opting for Mule Anypoint Platform. When there is a requirement for heavy data transformation, then users need to decide whether to go with Mule Anypoint Platform or any other platform available in the market. Though the tool comes with many useful components, it depends on whether the user plans to use all of its features. Recently, the product has come up with a new feature that is similar to an API catalog. MuleSoft had come up with the UAPIM feature almost eight months to a year ago, which had some concerns in the area of budgeting. Whether you build APIs using Javacore or any other tools, they can be cataloged using MuleSoft's UAPIM feature, for which users need to pay an extra amount, making it an area of concern for users. It would be great if MuleSoft's support team could provide help with the area of Kubernetes.

Quotes from Members

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

Pros

"Its simplicity and the way it handles graphs are the most valuable features."
"We are very satisfied with the DevOps support."
"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 platform's cloud integration capabilities are good."
"The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API."
"The solution is very scalable with solid performance and the capability of extending it using any custom Java in case you don't have anything out of the box. MDP is strong. It is good compared to other products regarding its capabilities in managing or orchestrating the issue load."
"The tool’s API management capabilities are excellent."
"It's easy to use and comes as a bundle package with the Anypoint Platform, removing the need for any complex setup."
"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."
 

Cons

"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."
"One area we'd like to see improvement in is the error logging and troubleshooting process."
"Information on monitoring could be improved."
"There are so many solutions like this, but this is not as mature as those products. The other MQ products have the capability of reprocessing and maintaining the persistence of the data. They can handle large volumes and large messages, but Anypoint MQ doesn't have those capabilities."
"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."
"From a monitoring point of view, MuleSoft Anypoint Platform can improve on tracking transactions."
"Price-wise, it is a good product since it is reasonably priced...Mule Anypoint Platform can get too complex for non-technical people."
"The high price of the product is an area of concern where improvements are required."
 

Pricing and Cost Advice

"Its price and value for money would be okay for our purpose if there were some additional features."
"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."
"Mule is not the cheapest integration platform out there, but it deserves the price we are paying."
"Mule Anypoint Platform pricing is slightly higher compared to Dell Boomi."
"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."
"I rate the product price a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"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's pricing, as per the old approach, is expensive."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
871,829 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
11%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise29
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

No data available
Data Integrator, Anypoint MQ
 

Overview

 

Sample Customers

Allant Group, NDP, Porch, GoodData
VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: September 2025.
871,829 professionals have used our research since 2012.