Chose IBM Watson Studio on Cloud Pak for Data
Organization of data, use of data, manage the data, visualize the data is easy.
Use of the environment for any project.
We can use python or R or Scala in the notebook.
Product | Rating | Most Used By | Product Summary | Starting Price |
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Amazon Deep Learning AMIs | N/A | AMIs are Amazon Machine Images, virtual appliance deployed on EC2. The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at scale. Users can launch Amazon EC2 instances pre-installed with deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new… | N/A | |
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 |
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Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
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Amazon Deep Learning AMIs | IBM Watson Studio on Cloud Pak for Data | |
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Considered Both Products | ![]() Amazon Deep Learning AMIs No answer on this topic | IBM Watson Studio |
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Amazon Deep Learning AMIs | IBM Watson Studio on Cloud Pak for Data | |
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Small Businesses | Saturn Cloud Score 9.0 out of 10 | Saturn Cloud Score 9.0 out of 10 |
Medium-sized Companies | KNIME Analytics Platform Score 9.0 out of 10 | Mathematica Score 8.3 out of 10 |
Enterprises | KNIME Analytics Platform Score 9.0 out of 10 | Dataiku DSS Score 9.1 out of 10 |
All Alternatives | View all alternatives | View all alternatives |
Amazon Deep Learning AMIs | IBM Watson Studio on Cloud Pak for Data | |
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Likelihood to Recommend | 10.0 (2 ratings) | 8.0 (65 ratings) |
Likelihood to Renew | - (0 ratings) | 8.2 (1 ratings) |
Usability | - (0 ratings) | 9.6 (2 ratings) |
Availability | - (0 ratings) | 8.2 (1 ratings) |
Performance | - (0 ratings) | 8.2 (1 ratings) |
Support Rating | - (0 ratings) | 8.2 (1 ratings) |
In-Person Training | - (0 ratings) | 8.2 (1 ratings) |
Online Training | - (0 ratings) | 8.2 (1 ratings) |
Implementation Rating | - (0 ratings) | 7.3 (1 ratings) |
Product Scalability | - (0 ratings) | 8.2 (1 ratings) |
Vendor post-sale | - (0 ratings) | 7.3 (1 ratings) |
Vendor pre-sale | - (0 ratings) | 8.2 (1 ratings) |
Amazon Deep Learning AMIs | IBM Watson Studio on Cloud Pak for Data | |
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Likelihood to Recommend | ![]() Amazon AWS
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Pros | ![]() Amazon AWS
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Cons | ![]() Amazon AWS
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Likelihood to Renew | ![]() Amazon AWS No answers on this topic | IBM
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Usability | ![]() Amazon AWS No answers on this topic | IBM
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Reliability and Availability | ![]() Amazon AWS No answers on this topic | IBM
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Performance | ![]() Amazon AWS No answers on this topic | IBM
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Support Rating | ![]() Amazon AWS No answers on this topic | IBM
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In-Person Training | ![]() Amazon AWS No answers on this topic | IBM
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Online Training | ![]() Amazon AWS No answers on this topic | IBM
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Implementation Rating | ![]() Amazon AWS No answers on this topic | IBM
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Alternatives Considered | ![]() Amazon AWS
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Scalability | ![]() Amazon AWS No answers on this topic | IBM
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Return on Investment | ![]() Amazon AWS
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ScreenShots |