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 8.0, and holds a 19.8% mindshare in the category. Salesforce is ranked #1 in BBM , with an average rating of 8.0, and holds a 11.7% 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

265 Views
145 Comparison Views

86% willing to recommend

MuleSoft Anypoint Platform

Read 58 MuleSoft Anypoint Platform reviews

1,608 Views
775 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 856,873 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

6.9

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)

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 19.8%, up 15.8% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 11.7% mindshare, down 15.1% 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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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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Quotes from Members

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

Pros

"It is a scalable solution, and we have had no issues with its scalability in our company. I rate the solution's scalability a nine out of ten."

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

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

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

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different 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."

"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."

More IBM Cloud Pak for Data pros

"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 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."

"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 valuable feature for me is the Exchange sub-tool."

"The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."

"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."

"When we talk about the APIs, there are multiple policies one can apply on APIs, like rate limiting policies, OWASP policies, and OWASP security policies, that can be easily configured in Mule Anypoint Platform."

"Messaging and queueing solution that has good stability and scalability. It can be used for a variety of messaging types."

More MuleSoft Anypoint Platform pros

Cons

"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."

"The solution's catalog searching or map search needs to be improved."

"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."

"The solution could have more connectors."

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

"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 challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

More IBM Cloud Pak for Data cons

"The solution is very costly. The solution should provide a package with fewer capabilities at a lower price for specific companies that don’t have a big IT budget. Not every customer requires all the capabilities of the software. It will be a good fit in the market, and they will easily sell it more."

"Although the solution's proxy design and process are good, it faces connecting issues because it lacks data integration."

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

"The price could be improved."

"Lacks intelligent management data and intelligent mappings."

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

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

"The terms of use and how it's priced has become very difficult to manage, which is forcing us to look for alternatives already - and we haven't even been using it for that long just yet."

More MuleSoft Anypoint Platform cons

Pricing and Cost Advice

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

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

"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."

"I can't give you a straightforward answer because sometimes it depends on the usage. If you're going to have fewer than 5 million messages, it is free of cost. If you're going to have more than 5 million messages, they're going to charge $100 per month"

"Mule Anypoint Platform is affordable."

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

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

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

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

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

"The solution has a high price."

More MuleSoft Anypoint Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

30%

Manufacturing Company

10%

Computer Software Company

10%

Government

Computer Software Company

14%

Educational Organization

13%

Financial Services Firm

12%

Manufacturing Company

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.

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What needs improvement with IBM Cloud Pak for Data?

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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...

See all answers

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 41% of the time

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

Compared 15% of the time

Denodo vs IBM Cloud Pak for Data

Compared 13% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 10% of the time

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Redwood RunMyJobs vs MuleSoft Anypoint Platform

Compared 18% of the time

Tidal by Redwood vs MuleSoft Anypoint Platform

Compared 7% of the time

Apache Kafka vs MuleSoft Anypoint Platform

Compared 5% of the time

IBM MQ vs MuleSoft Anypoint Platform

Compared 5% of the time

ActiveMQ vs MuleSoft Anypoint Platform

Compared 5% of the time

More MuleSoft Anypoint Platform Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

June 2025

Download IBM Cloud Pak for Data product report

Buyer's Guide

MuleSoft Anypoint Platform

May 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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