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 8.3, and holds a 17.7% mindshare in the category. Salesforce is ranked #2 in BBM , with an average rating of 8.2, and holds a 14.3% mindshare. Additionally, 85% of IBM users are willing to recommend the solution, compared to 91% of Salesforce users who would recommend it.

IBM Cloud Pak for Data

Read 12 IBM Cloud Pak for Data reviews

294 Views
209 Comparison Views

85% willing to recommend

MuleSoft Anypoint Platform

Read 56 MuleSoft Anypoint Platform reviews

2,506 Views
1,593 Comparison Views

91% 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 815,209 peers since 2012

Categories and Ranking

IBM Cloud Pak for Data

Average Rating

8.0

Number of Reviews

Ranking in other categories

Data Integration (18th), Data Virtualization (3rd)

MuleSoft Anypoint Platform

Average Rating

8.0

Reviews Sentiment

7.0

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)

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 17.7%, up 13.3% compared to last year.
MuleSoft Anypoint Platform, on the other hand, focuses on Business-to-Business Middleware, holds 14.3% mindshare, up 13.9% since last year.

Data Virtualization

Business-to-Business Middleware

Featured Reviews

Murali B

Associate Manager at Ernst & Young

Jul 12, 2024

Provides IBM Watson Catalog and data pipelines, but catalog searching needs to be improved

If people are with the existing stuff, I would definitely suggest they go with IBM Cloud Pak for Data. I usually recommend the solution for the financial sector, where I worked for about ten years. I worked with IBM for almost eight years. Unless they want to migrate to a new product completely, I recommend IBM Cloud Pak for Data to explore current business. It is easy to integrate the tool with other solutions. Except for metadata queries, metadata validations, and metadata integrations, I don't see any issues with the solution. I would recommend the solution to other users if it supports their existing infrastructure. Some people don't want to put their data in the cloud because they are concerned about how the data is secured with encryption and decryption. For such cases, we have listed out all the pros and cons of the solution to suggest them to users. Overall, I rate the solution a seven out of ten.

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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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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."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"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."

"Its data preparation capabilities are highly valuable."

"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."

"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."

"The most valuable features are data virtualization and reporting."

More IBM Cloud Pak for Data pros

"The exchange and API management features are the best in the market."

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

"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."

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

"The product is very user-friendly."

"The most valuable feature is the variety of characters Anypoint Platform has. It is very scalable and customizable."

"It can scale."

"Initial setup was very straightforward. Deployment is a cakewalk."

More MuleSoft Anypoint Platform pros

Cons

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

"The solution could have more connectors."

"The solution's user experience is an area that has room for improvement."

"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."

"The product must improve its performance."

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

"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."

More IBM Cloud Pak for Data cons

"The initial setup should be made easy and the documentation should have some guidance."

"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 should improve its pricing. In my experience, a customer using the sandbox version couldn't upgrade to the final version because it exceeded their budget. Another area for improvement is the login mechanism. We need to integrate with third-party products for strong authentication, but it would be better if MuleSoft had its own robust login mechanism."

"The tool requires programming language."

"There is not much information on the internet...The transforming message is an area in the solution that needs to be improved."

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

"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."

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

More MuleSoft Anypoint Platform cons

Pricing and Cost Advice

"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 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."

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

"It's quite expensive."

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

"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."

"Mule Anypoint Platform is affordable."

"I rate the product price a nine on a scale of one to ten, where one is cheap, and ten is expensive."

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

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

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

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

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

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

More MuleSoft Anypoint Platform pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

11%

Manufacturing Company

Insurance Company

Educational Organization

21%

Computer Software Company

14%

Financial Services Firm

10%

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 solution's pricing is competitive with that of other vendors. The pricing also depends on the number of users.

See all answers

What needs improvement with IBM Cloud Pak for Data?

Previously, we used to extract the information in the DSX and the XML formats. IBM Cloud Pak for Data exports information mostly on the ISX, which is an encrypted format. The only challenge with th...

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...

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 42% of the time

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

Compared 20% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 16% of the time

Denodo vs IBM Cloud Pak for Data

Compared 8% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 4% of the time

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ActiveMQ vs MuleSoft Anypoint Platform

Compared 11% of the time

Apache Kafka vs MuleSoft Anypoint Platform

Compared 9% of the time

Microsoft Azure Logic Apps vs MuleSoft Anypoint Platform

Compared 6% of the time

Amazon SQS vs MuleSoft Anypoint Platform

Compared 6% of the time

MuleSoft Composer vs MuleSoft Anypoint Platform

Compared 5% of the time

More MuleSoft Anypoint Platform Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

November 2024

Download IBM Cloud Pak for Data product report

Buyer's Guide

MuleSoft Anypoint Platform

October 2024

Download MuleSoft Anypoint Platform product report

Also Known As

Cloud Pak for Data

Data Integrator, Anypoint MQ

Learn More

IBM

Salesforce

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.

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.

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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See our IBM Cloud Pak for Data vs. MuleSoft Anypoint Platform report.

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