We performed a comparison between IBM Cloud Pak for Data and Oracle GoldenGate 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."
"Its data preparation capabilities are highly valuable."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"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."
"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."
"DataStage allows me to connect to different data sources."
"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."
"The product's microservice architecture is scalable."
"I like that the product transforms data and provides real-time applications."
"It allows us to migrate from one system to another, from one server to another, with no downtime, no outage. We can get the data synchronized with multiple databases and then switch the connectivity across to the new servers."
"Oracle GoldenGate helps to select and target specific tables for replication. Any changes or operations on those tables are immediately reflected in the source and target environments."
"When we are replicating data between similar databases then it is straightforward."
"It is a scalable solution."
"This is a powerful solution provided by one of the most respected companies in the computer industry."
"It is quite scalable."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"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."
"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."
"The technical support could be a little better."
"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 product must improve its performance."
"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."
"It should be easier to integrate this solution with non-Oracle databases, including cloud-based solutions hosted on Azure."
"The front-end management isn't very good."
"Monitoring must be a bit more enhanced."
"It's stable but you have to know how to maintain it. That's why it's not 10 out of 10 for me. There are some bugs, there are some issues here and there. All of a sudden your process is not working and you have to figure out why, and sometimes it's not so clear."
"Technical support for Oracle products needs to be more efficient (at least locally in Egypt)."
"The product lacks some features and it's expensive."
"What needs improvement in Oracle GoldenGate is the support. Another feature that needs to be improved in the solution is its GUI. It would be useful for programmers or users to be able to work from the GUI, not just from the command line. Simplifying how Oracle GoldenGate is used would also make the solution better."
"Oracle GoldenGate could improve the price."
IBM Cloud Pak for Data is ranked 15th in Data Integration with 11 reviews while Oracle GoldenGate is ranked 6th in Data Integration with 47 reviews. IBM Cloud Pak for Data is rated 8.0, while Oracle GoldenGate 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 GoldenGate writes "Performs real-time replication without data loss, but we cannot do much automation". 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 GoldenGate is most compared with AWS Database Migration Service, Qlik Replicate, Quest SharePlex, Azure Data Factory and Oracle Data Integrator (ODI). See our IBM Cloud Pak for Data vs. Oracle GoldenGate report.
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