We performed a comparison between IBM Cloud Pak for Data and Informatica PowerExchange 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."Scalability-wise, I rate the solution a nine or ten out of ten."
"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."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"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 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."
"DataStage allows me to connect to different data sources."
"Overall, it's a good tool. It's currently number one on the market. It pretty much has all the necessary capabilities to pull the incremental data from the source system, technically speaking."
"Mainstream integration and real-time integration are the best features."
"This product is easy to install and it can be done in a few hours."
"The most valuable feature is connectivity to data sources."
"From the product feature or product capability perspective, the aspects around integration, transformation, and standardization are valuable. It's fairly easy to use. It has a GUI-based interface."
"The product’s flexibility is valuable."
"The data transformation is the solution's most valuable feature."
"The user interface and user experience are perfectly all right."
"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."
"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."
"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."
"The solution could have more connectors."
"The solution's user experience is an area that has room for improvement."
"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."
"They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized."
"Apache Spark has a machine learning algorithm, an area where Informatica PowerExchange lacks."
"I would like to have easier integration with cloud platforms."
"Integration with the largest number of databases and other systems would be important."
"Informatica is very expensive in all aspects, so the pricing is something that could be improved."
"The solution needs better integration with other tools."
"Real-time has not been enhanced that much over the past few years. There has not been as many features added like they did before."
"The product is not suitable for application integration."
IBM Cloud Pak for Data is ranked 15th in Data Integration with 11 reviews while Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews. IBM Cloud Pak for Data is rated 8.0, while Informatica PowerExchange 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 PowerExchange writes "Handles big data better than competitors". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Denodo, whereas Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Azure Data Factory, SSIS and Qlik Replicate. See our IBM Cloud Pak for Data vs. Informatica PowerExchange report.
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