We performed a comparison between IBM Cloud Pak for Data and Oracle Data Integrator (ODI) based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"The most valuable features are data virtualization and reporting."
"DataStage allows me to connect to different data sources."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"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."
"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."
"It allows us to use many languages to develop and to integrate practically all the technologies of the Oracle suite as well as those from non-Oracle vendors."
"All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."
"What I found most valuable in Oracle Data Integrator (ODI) is that it integrates well with almost all technologies currently being used in my company."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases."
"The scalability is great. It's one of the reasons we chose the solution."
"The product has an ELT approach."
"Besides loading data, we do most of our transformations in ODI."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"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."
"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."
"The solution could have more connectors."
"The solution's user experience is an area that has room for 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 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."
"Technical Support could be better."
"The performance of the user interface is in need of improvement."
"ODI could improve by focusing on streamlining its features without unnecessary overhead."
"The initial setup is a bit complex compared to other tools."
"I rate it a seven out of 10 because there is room for growth because ODI is still new, in comparison to Informatica, which is a mature product."
"The initial setup is complex, especially if you also have to install a console."
"In our company, we haven't tried consuming services from IoT in our company yet, and I would like to know if the solution will support IoT services in the next release."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
IBM Cloud Pak for Data is ranked 17th in Data Integration with 11 reviews while Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews. IBM Cloud Pak for Data is rated 8.0, while Oracle Data Integrator (ODI) 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 Oracle Data Integrator (ODI) writes "Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Azure Data Factory and Oracle GoldenGate. See our IBM Cloud Pak for Data vs. Oracle Data Integrator (ODI) report.
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