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."You can model the data there, connect the data models with the business processes and create data lineage processes."
"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."
"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."
"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."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"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."
"People are able to scale up, learn it quickly, and start delivering."
"Provides various ways to secure services as well as providing extensive support."
"The OIC is very good."
"The out-of-box integration between Oracle and SAP is really beneficial"
"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 is the ease of customization."
"Oracle Integration Cloud Service is a really good product and the ROI is very good with it. It lowers development time. A development cycle that may have taken a year without Oracle Integration Cloud Service can drop down to three or four months with it."
"Technical support responds quickly."
"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."
"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 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."
"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."
"The solution's user experience is an area that has room for improvement."
"The solution could have more connectors."
"It has lengthy documentation, making the process of building applications more time-consuming."
"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."
"There are a few features that we noticed are not in the cloud. There are some improvements needed. One example is the graphical user interface that needs to improve, it could be easier to use."
"We would love to have more and more ready-to-use interfaces from Oracle."
"Oracle-based automation blueprints for the majority of the integrations would be helpful to have in a future release."
"The solution doesn't currently have a fully fledged workflow feature like they have in OIM."
"There is a payload size limit and we're unable to integrate some legacy applications."
"The solution is expensive."
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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), Mule Anypoint Platform, AWS Glue, Oracle GoldenGate and Azure Data Factory. See our IBM Cloud Pak for Data vs. Oracle Integration Cloud Service report.
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