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."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."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"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."
"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."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"DataStage allows me to connect to different data sources."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."
"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."
"It has the ability to easily load slowly changing dimensions."
"ODI's most valuable features are it utilizes the database engine and is very lightweight."
"It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases."
"The most valuable feature is Data movement."
"It's completely user-friendly."
"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 solution could have more connectors."
"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 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."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"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 stability of the software could be improved. Sometimes, the software just crashes. "
"It needs easier security."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"Oracle support services are not up to the mark."
"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."
"It lacks a suite of tools suitable for fully processing data and moving it into decision support warehouses."
"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 68 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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