We performed a comparison between IBM Cloud Pak for Data and Informatica Cloud Data Integration 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."Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"The most valuable features are data virtualization and reporting."
"Its data preparation capabilities are highly valuable."
"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."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"REST API: Excellent for scripting control and reporting mechanisms"
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"The user interface which is very easy to use if we have any problems to solve."
"The product is scalable and excellent for enterprise-level organizations."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services."
"It has a more UI-based tool, and the scripting is good."
"The mass ingestion functionality and the elasticity of the solution are great."
"The solution's user experience is an area that has room for improvement."
"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 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 product must improve its performance."
"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."
"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 solution could have more connectors."
"The technical support could be a little better."
"Error reporting and debugging need improvement."
"Informatica Cloud Data Integration could improve the price by making it less expensive."
"User/group administration could use improvement."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"The current features are a bit complicated, and we need to write big scripts and test."
"There are a small number of UI bugs that occur on occasion."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"The cloud version could be better in terms of pricing."
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IBM Cloud Pak for Data is ranked 3rd in Data Virtualization with 11 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. IBM Cloud Pak for Data is rated 8.0, while Informatica Cloud Data Integration is rated 7.8. 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 Informatica Cloud Data Integration writes "A stable, scalable, and user-friendly solution". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Palantir Foundry, Denodo and IBM InfoSphere Information Server, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, AWS Glue, Fivetran and Talend Open Studio. See our IBM Cloud Pak for Data vs. Informatica Cloud Data Integration report.
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