We performed a comparison between IBM Cloud Pak for Data and Mule 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."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."
"DataStage allows me to connect to different data sources."
"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."
"The most valuable features are data virtualization and reporting."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"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."
"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 product is very user-friendly."
"Mule works very well with Salesforce and CRMs."
"We are very satisfied with the DevOps support."
"The platform's cloud integration capabilities are good."
"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."
"The tool is very capable and offers a high performance. The tool supports batch processing and ETL processing."
"It's easy to develop APIs."
"The solution's deployment and proxy processes are very good."
"The product must improve its performance."
"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."
"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 technical support could be a little better."
"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."
"The solution's user experience is an area that has room for improvement."
"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."
"The initial setup should be made easy and the documentation should have some guidance."
"The solution's licensing methodologies could be improved."
"It would be better if we had a clearer view of the solution's future releases."
"Adding connectors for new upcoming applications would add extra value to this product."
"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."
"The inclusion of GenAI in the tool can be good since it is an area that is currently unavailable in the solution."
"Mule Anypoint Platform could improve by having more up-to-date adapters to do work in a digital space."
"The stability could be better."
IBM Cloud Pak for Data is ranked 3rd in Data Virtualization with 11 reviews while Mule Anypoint Platform is ranked 2nd in Business-to-Business Middleware with 41 reviews. IBM Cloud Pak for Data is rated 8.0, while Mule Anypoint Platform is rated 8.2. The top reviewer of IBM Cloud Pak for Data writes "A scalable data analytics and digital transformation tool that provides useful features and integrations". On the other hand, the top reviewer of Mule Anypoint Platform writes "Robust, reliable, and stable, ensuring high availability for critical integrations". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo, whereas Mule Anypoint Platform is most compared with MuleSoft Composer, Microsoft Azure Logic Apps, Oracle Integration Cloud Service, SAP Process Orchestration and SAP Cloud Platform. See our IBM Cloud Pak for Data vs. Mule Anypoint Platform report.
We monitor all Data Virtualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.