IBM Cloud Pak for Data and Alteryx Designer compete in data analytics and management. IBM stands out with its robust integration capabilities and support features, while Alteryx shines in user-friendliness and sophisticated data processing tools.
Features: IBM Cloud Pak for Data offers comprehensive data integration, AI-driven insights, and scalability, enabling seamless collaboration across various data sources. It features Watson Studio, Modeler flows, and excellent data virtualization capabilities. Alteryx Designer is known for its intuitive workflow automation, strong data blending, and advanced analytics with user-friendly drag-and-drop functionality, time series analysis tools, and outstanding geospatial analytics.
Room for Improvement: IBM Cloud Pak for Data could enhance user interface accessibility, simplify initial deployment complexities, and improve cost-effectiveness for smaller businesses. Alteryx Designer might benefit from strengthening its enterprise support services, expanding machine learning capabilities, and offering more robust predictive analytical functionalities for greater competitive edge.
Ease of Deployment and Customer Service: IBM Cloud Pak for Data provides flexible deployment options focused on enterprise-grade solutions and comprehensive support, but has a complex installation process. Alteryx Designer stands out with its easier installation process and comprehensive user guidance tailored for simplicity and fast adoption.
Pricing and ROI: IBM Cloud Pak for Data carries higher setup costs due to its extensive feature set focused on providing higher ROI for large-scale deployments, appealing to expansive, long-term enterprise strategies. Alteryx Designer offers a more affordable entry point with fast returns, making it appealing for budget-conscious buyers seeking efficiency in smaller-scale operations.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
There are areas where they need to improve response time and overall competence.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
Customer support should be more responsive and reach and respond on time.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
The setup cost is very expensive.
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
The main valuable aspect is the simplicity of use across all features.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
| Product | Market Share (%) |
|---|---|
| Alteryx Designer | 1.5% |
| IBM Cloud Pak for Data | 1.3% |
| Other | 97.2% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
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