IBM Watson Studio on Cloud Pak for Data vs. IBM watsonx.ai
IBM Watson Studio on Cloud Pak for Data vs. IBM watsonx.ai
Product | Rating | Most Used By | Product Summary | Starting Price |
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IBM Watson Studio | N/A | IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture. | N/A | |
IBM watsonx.ai | N/A | Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data. | $0 |
IBM Watson Studio on Cloud Pak for Data | IBM watsonx.ai | |||||||||||||||
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Editions & Modules | No answers on this topic |
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Offerings |
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Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
Additional Details | — | Get started building differentiated AI assets with watsonx.ai, our studio for generative AI, foundation models and machine learning. Scale up your AI use cases as needed with integrations to watsonx.data, a fit-for-purpose data store built on an open data lakehouse architecture, and watsonx.governance (coming soon), a toolkit to accelerate responsible, transparent and explainable AI workflows. Pricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours. | ||||||||||||||
More Pricing Information |
IBM Watson Studio on Cloud Pak for Data | IBM watsonx.ai | |
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Top Pros | No answers on this topic | |
Top Cons |
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IBM Watson Studio on Cloud Pak for Data | IBM watsonx.ai | |||||||||||||||
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Platform Connectivity |
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Data Exploration |
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Data Preparation |
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Platform Data Modeling |
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Model Deployment |
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IBM Watson Studio on Cloud Pak for Data | IBM watsonx.ai | |
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Small Businesses | IBM SPSS Modeler Score 7.8 out of 10 | IBM SPSS Modeler Score 7.8 out of 10 |
Medium-sized Companies | Mathematica Score 8.2 out of 10 | Posit Score 9.1 out of 10 |
Enterprises | IBM SPSS Modeler Score 7.8 out of 10 | IBM SPSS Modeler Score 7.8 out of 10 |
All Alternatives | View all alternatives | View all alternatives |
IBM Watson Studio on Cloud Pak for Data | IBM watsonx.ai | |
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Likelihood to Recommend | 8.0 (65 ratings) | 7.7 (4 ratings) |
Likelihood to Renew | 8.2 (1 ratings) | - (0 ratings) |
Usability | 9.6 (2 ratings) | - (0 ratings) |
Availability | 8.2 (1 ratings) | - (0 ratings) |
Performance | 8.2 (1 ratings) | - (0 ratings) |
Support Rating | 8.2 (1 ratings) | - (0 ratings) |
In-Person Training | 8.2 (1 ratings) | - (0 ratings) |
Online Training | 8.2 (1 ratings) | - (0 ratings) |
Implementation Rating | 7.3 (1 ratings) | - (0 ratings) |
Product Scalability | 8.2 (1 ratings) | - (0 ratings) |
Vendor post-sale | 7.3 (1 ratings) | - (0 ratings) |
Vendor pre-sale | 8.2 (1 ratings) | - (0 ratings) |
IBM Watson Studio on Cloud Pak for Data | IBM watsonx.ai | |
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Likelihood to Recommend | IBM | IBM |
Pros | IBM | IBM |
Cons | IBM | IBM |
Likelihood to Renew | IBM | IBM No answers on this topic |
Usability | IBM | IBM No answers on this topic |
Reliability and Availability | IBM | IBM No answers on this topic |
Performance | IBM | IBM No answers on this topic |
Support Rating | IBM | IBM No answers on this topic |
In-Person Training | IBM | IBM No answers on this topic |
Online Training | IBM | IBM No answers on this topic |
Implementation Rating | IBM | IBM No answers on this topic |
Alternatives Considered | IBM | IBM |
Scalability | IBM | IBM No answers on this topic |
Return on Investment | IBM | IBM |
ScreenShots | IBM watsonx.ai Screenshots |