IBM Cloud Pak for Data vs MuleSoft Anypoint Platform comparison

The compared IBM and Salesforce solutions aren't in the same category. IBM is ranked #3 in DV , with an average rating of 7.7, and holds a 17.0% mindshare in the category. Salesforce is ranked #1 in BBM , with an average rating of 8.0, and holds a 10.9% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 92% of Salesforce users who would recommend it.

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

2,349 Views
258 Comparison Views

86% willing to recommend

MuleSoft Anypoint Platform

Read 59 MuleSoft Anypoint Platform reviews

11,835 Views
1,302 Comparison Views

92% willing to recommend

IBM Cloud Pak for Data

MuleSoft Anypoint Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Cloud Pak for Data and MuleSoft Anypoint Platform based on real PeerSpot user reviews.

Find out in this report how the two Data Virtualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Cloud Pak for Data vs. MuleSoft Anypoint Platform Report (Updated: May 2023).

Buyer's Guide

IBM Cloud Pak for Data vs. MuleSoft Anypoint Platform

May 2023

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Helped 865,295 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

IBM Cloud Pak for Data

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (24th), Data Virtualization (3rd)

MuleSoft Anypoint Platform

Average Rating

8.0

Reviews Sentiment

6.7

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)

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. IBM Cloud Pak for Data is designed for Data Virtualization and holds a mindshare of 17.0%, up 16.2% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 10.9% mindshare, down 14.5% since last year.

Data Virtualization

Business-to-Business Middleware

Featured Reviews

Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

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Mohan BS

Senior Specialist at a manufacturing company with 10,001+ employees

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.

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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

"DataStage allows me to connect to different data sources."

"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."

"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

"The most valuable features of IBM Cloud Pak for Data are the Watson Studio, where we can initiate more groups and write code. Additionally, Watson Machine Learning is available with many other services, such as APIs which you can plug the machine learning models."

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

"Cloud Pak is a very, very, very good system."

More IBM Cloud Pak for Data pros

"The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API."

"API management."

"We are very satisfied with the DevOps support."

"The product is very user-friendly."

"The tool’s API management capabilities are excellent."

"It can scale."

"The tool's visual features are attractive."

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

More MuleSoft Anypoint Platform pros

Cons

"The technical support could be a little better."

"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."

"There is a solution that is part of IBM Cloud Pak for Data called Watson OpenScale. It is used to monitor the deployed models for the quality and fairness of the results. This is one area that needs a lot of improvement."

"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."

"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

"Cloud Pak would be improved with integration with cloud service providers like Cloudera."

"The solution could have more connectors."

More IBM Cloud Pak for Data cons

"The product is expensive."

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

"The pricing can be a little bit less."

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

"The solution's licensing methodologies could be improved."

"It would be better if we had a clearer view of the solution's future releases."

"Lacks intelligent management data and intelligent mappings."

"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

Pricing and Cost Advice

"I think that this product is too expensive for smaller companies."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

"The solution's pricing is competitive with that of other vendors."

"The solution is expensive."

"Cloud Pak's cost is a little high."

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

"It's quite expensive."

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"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."

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

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

"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 is still very expensive."

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

"Mule Anypoint Platform is an expensive solution."

"Mule Anypoint Platform is affordable."

More MuleSoft Anypoint Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

30%

Manufacturing Company

11%

Computer Software Company

Government

Computer Software Company

14%

Financial Services Firm

13%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

See all answers

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem.

See all answers

What needs improvement with IBM Cloud Pak for Data?

See all answers

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...

See all answers

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

Comparisons

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 40% of the time

Denodo vs IBM Cloud Pak for Data

Compared 12% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 10% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 9% of the time

Palantir Gotham vs IBM Cloud Pak for Data

Compared 2% of the time

More IBM Cloud Pak for Data Competitors

Redwood RunMyJobs vs MuleSoft Anypoint Platform

Compared 16% of the time

Tidal by Redwood vs MuleSoft Anypoint Platform

Compared 7% of the time

IBM MQ vs MuleSoft Anypoint Platform

Compared 4% of the time

ActiveMQ vs MuleSoft Anypoint Platform

Compared 4% of the time

Apache Kafka vs MuleSoft Anypoint Platform

Compared 4% of the time

More MuleSoft Anypoint Platform Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

August 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

MuleSoft Anypoint Platform

August 2025

Download MuleSoft Anypoint Platform product report

Also Known As

Cloud Pak for Data

Data Integrator, Anypoint MQ

Overview

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

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

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

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

Buyer's Guide

IBM Cloud Pak for Data vs. MuleSoft Anypoint Platform

May 2023

Free Report: IBM Cloud Pak for Data vs. MuleSoft Anypoint Platform

Find out what your peers are saying about IBM Cloud Pak for Data vs. MuleSoft Anypoint Platform and other solutions. Updated: May 2023.

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