We performed a comparison between IBM Cloud Pak for Data and Informatica PowerCenter 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."You can model the data there, connect the data models with the business processes and create data lineage processes."
"Its data preparation capabilities are highly valuable."
"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."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"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."
"Cloud Pak's most valuable features are IBM MQ, IBM App Connect, IBM API Connect, and ISPF."
"In the end, you have structured, proper data for use in an integrated BI solution."
"Once you have learned Informatica, it is very easy to use."
"Good interface, reasonable documentation."
"What I like most about Informatica PowerCenter is that it's the best tool in the market for data integration. Currently, I work in L'Oréal, where a new system from SAP is used. Informatica PowerCenter integration with SAP is very, very fast and very, very simple, so you have the server flow from SAP, and through Informatica PowerCenter, you can ingest the data and make that data available for the business more quickly."
"The solution is stable."
"It provides everything I need. Nothing is missing. PowerCenter is a good tool for on-premise databases."
"UI-based ability to create data mapping."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"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 technical support could be a little better."
"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."
"Cloud Pak would be improved with integration with cloud service providers like Cloudera."
"The solution could have more connectors."
"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's user experience is an area that has room for improvement."
"The product must improve its performance."
"Integrating new tools can be tricky and challenging."
"They should release new versions for the solution's on-premises setup."
"The solution's commercial cost is very high. Other open-source tools can do the tool's functions for free. The world is moving to the cloud, but the solution hasn't updated its drivers. I presume that its downfall will start soon. The tool is trying to cross-sell or upsell without helping customers derive benefits from the existing products. They have multiple tools and licenses. It is better to bring the smaller tools in one umbrella."
"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better."
"Support could be better."
"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."
"The documentation could be improved."
"The solution does not scale."
IBM Cloud Pak for Data is ranked 14th in Data Integration with 11 reviews while Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews. IBM Cloud Pak for Data is rated 8.0, while Informatica PowerCenter is rated 8.0. 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 PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and SAS Data Management, whereas Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue. See our IBM Cloud Pak for Data vs. Informatica PowerCenter report.
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