We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The most valuable features are data virtualization and reporting."
"All ETL code is stored in repositories in underlying database schemas. The number of users can access and work on the same solution using a client tool. So distributed teams can work on this tool in an efficient manner."
"The scalability is great. It's one of the reasons we chose the solution."
"The technical support could be a little better."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"The resource management aspect of the solution could be improved."
"I think that this product is too expensive for smaller companies."
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IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements: from high-volume, high-performance batch loads, to event-driven, trickle-feed integration processes, to SOA-enabled data services. Oracle Data Integrator (ODI) 12c, the latest version of Oracle’s strategic Data Integration offering, provides superior developer productivity and improved user experience with a redesigned flow-based declarative user interface and deeper integration with Oracle GoldenGate.
ODI12c further builds on its flexible and high-performance architecture with comprehensive big data support and added parallelism when executing data integration processes. It includes interoperability with Oracle Warehouse Builder (OWB) for a quick and simple migration for OWB customers to ODI12c. Additionally, ODI can be monitored from a single solution along with other Oracle technologies and applications through the integration with Oracle Enterprise Manager 12c.
IBM Cloud Pak for Data is ranked 40th in Data Integration Tools with 1 review while Oracle Data Integrator (ODI) is ranked 5th in Data Integration Tools with 5 reviews. IBM Cloud Pak for Data is rated 5.0, while Oracle Data Integrator (ODI) is rated 8.8. The top reviewer of IBM Cloud Pak for Data writes "Good reporting, but resource utilization is high and technical support can be improved". On the other hand, the top reviewer of Oracle Data Integrator (ODI) writes "I have used it to improve run-times of many corporations' overall integration run-times". IBM Cloud Pak for Data is most compared with Azure Data Factory, Palantir Foundry, Denodo, Mule Anypoint Platform and SAP HANA, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Oracle GoldenGate and IBM InfoSphere DataStage.
See our list of best Data Integration Tools vendors.
We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.