We performed a comparison between Alteryx Designer and IBM Cloud Pak for Data 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."Alteryx Designer is a tool that is pretty much easy to install."
"The most valuable feature of Alteryx Designer is its ability to select all the inputs and formulas."
"One of the things I like about Alteryx Designer is how easy it is to connect numerous data inputs, including API connectors. This helps tremendously in reducing the time required to extract data from systems like SAP that don't have straightforward connectivity options."
"I believe in the ability to connect to multiple data sources, as well as the ease of use to transform data and output data in a variety of formats."
"Alteryx is quite easy to use, learn, and understand as a product."
"It has an easy setup process."
"The product is very stable. The performance is reliable."
"We use Alteryx Designer for analytics. It's quite helpful because once we set it up, we don't have to manually update or process data repeatedly. It saves time, especially for financial reporting, which is typically done monthly or quarterly. Once we set it up initially, we only need to make occasional updates if necessary."
"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."
"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."
"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."
"You can model the data there, connect the data models with the business processes and create data lineage processes."
"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."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"The actual usage part of it needs to be explained more. It's too vague right now."
"The product could offer more connectors and more databases with support for the in-database function."
"Alteryx's data science and machine learning capabilities are where it loses out to DataIQ."
"Sometimes, while getting data from a third-party product, the solution works slowly."
"Alteryx Designer's pricing and support could be improved."
"If the price were reduced then it would be more competitive."
"It would be simpler if they provided a component where you could simply enter some parameters and see the results."
"An improvement for Alteryx Designer would be faster bug fixes and updates."
"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 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."
"The solution's user experience is an area that has room for improvement."
"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."
Alteryx Designer is ranked 9th in Data Integration with 28 reviews while IBM Cloud Pak for Data is ranked 16th in Data Integration with 11 reviews. Alteryx Designer is rated 8.0, while IBM Cloud Pak for Data is rated 8.0. The top reviewer of Alteryx Designer writes "An easy-to-use automation solution with satisfying customer support". On the other hand, the top reviewer of IBM Cloud Pak for Data writes "A scalable data analytics and digital transformation tool that provides useful features and integrations". Alteryx Designer is most compared with Azure Data Factory, FME, SSIS, Informatica PowerCenter and SAP Data Services, whereas IBM Cloud Pak for Data is most compared with IBM InfoSphere DataStage, Azure Data Factory, Informatica Cloud Data Integration, Palantir Foundry and Oracle Integration Cloud Service. See our Alteryx Designer vs. IBM Cloud Pak for Data report.
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