We performed a comparison between IBM Cloud Pak for Data and Oracle Integration Cloud Service 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."The most valuable features are data virtualization and reporting."
"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."
"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 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."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"Its data preparation capabilities are highly valuable."
"The most important part would be the use of connectors. The significant number of cloud connectors available for active integration is its value."
"I particularly like the drag-and-drop feature for designing integrations and processes."
"The initial setup of Oracle Integration Cloud Service was easy."
"The out-of-box integration between Oracle and SAP is really beneficial"
"The initial setup is easy."
"People are able to scale up, learn it quickly, and start delivering."
"It is a scalable solution."
"The most valuable features of this solution are the SFTP adapters, file adapters, and risk adapters, that we use in everyday projects."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"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 product must improve its performance."
"The solution's user experience is an area that has room for improvement."
"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 technical support could be a little better."
"The solution could have more connectors."
"Make it more similar to the on-premises features. For example, if you can edit the code directly rather than just dragging and dropping, or if you can edit the examples by going into the background, and one-click migration, I'd like to see included in the next release."
"The bulk processing needs improvement."
"It would be helpful if there were more tutorials or documentation to learn about Oracle Integration Cloud Service."
"Sometimes, the tech support is slow to get back to us. We have had to wait up to two weeks for a response."
"If an inbound file is larger than one GB, it cannot be transformed within Oracle."
"They should provide tutorials for beginners to learn about the processes."
"The support and resources were lacking — they weren't there."
"The solution doesn't currently have a fully fledged workflow feature like they have in OIM."
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IBM Cloud Pak for Data is ranked 3rd in Data Virtualization with 11 reviews while Oracle Integration Cloud Service is ranked 3rd in Integration Platform as a Service (iPaaS) with 32 reviews. IBM Cloud Pak for Data is rated 8.0, while Oracle Integration Cloud Service is rated 8.0. 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 Oracle Integration Cloud Service writes "An integration tool that is highly compatible and easy to maintain". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration and Palantir Foundry, whereas Oracle Integration Cloud Service is most compared with Oracle Data Integrator (ODI), AWS Glue, Mule Anypoint Platform, Oracle GoldenGate and Azure Data Factory. See our IBM Cloud Pak for Data vs. Oracle Integration Cloud Service report.
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