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."DataStage allows me to connect to different data sources."
"The most valuable features are data virtualization and reporting."
"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."
"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 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."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"The out-of-box integration between Oracle and SAP is really beneficial"
"The initial setup of Oracle Integration Cloud Service was easy."
"It is a scalable solution."
"In general, there were a lot of great utilities for working with files."
"The most valuable feature is the ease of customization."
"People are able to scale up, learn it quickly, and start delivering."
"OIC offers a number of pre-built technology and SaaS adapters for high productivity for a wide range of target systems, both in-house via agents and cloud/SaaS, via a very flexible range of interfaces."
"The most valuable feature of Oracle Integration Cloud Service is its performance."
"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."
"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 solution's user experience is an area that has room for improvement."
"The solution could have more connectors."
"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 tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."
"The error retrying mechanism could be improved. If an error occurs, it can be retried automatically, it would be helpful."
"Dealing with the large file size has occasionally been a challenge."
"It would be helpful if there were more tutorials or documentation to learn about Oracle Integration Cloud Service."
"If an inbound file is larger than one GB, it cannot be transformed within Oracle."
"The bulk processing needs improvement."
"The support and resources were lacking — they weren't there."
"Oracle Integration Cloud Service can improve the downloading and uploading of files. I've submitted this issue to the Oracle Idea Labs. The issue is from the front end of Oracle Integration Cloud, we cannot download or upload a file directly or drag and drop it."
"Oracle Integration Cloud Service can improve file handling. Currently, our real-time file polling limitation is 10 MB, if that size can be increased it would be helpful. For example, increasing the size from 10 MB to 1 GB."
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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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