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Compare Domino Enterprise AI Platform and IBM Cloud Pak for Data 
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At a Glance
Market Segments
Enterprise (48.1% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Domino Enterprise AI Platform
Star Rating
(28)4.3 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Domino Enterprise AI PlatformIBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataDomino Enterprise AI Platform vs IBM Cloud Pak for Data
When assessing the two solutions, reviewers found Domino Enterprise AI Platform easier to use, set up, and administer. Reviewers also preferred doing business with Domino Enterprise AI Platform overall.
- Reviewers felt that IBM Cloud Pak for Data meets the needs of their business better than Domino Enterprise AI Platform.
- When comparing quality of ongoing product support, reviewers felt that IBM Cloud Pak for Data is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Domino Enterprise AI Platform over IBM Cloud Pak for Data.
Pricing
Entry-Level Pricing
Domino Enterprise AI Platform
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Domino Enterprise AI Platform
Free Trial is available
IBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.4
22
8.5
47
Ease of Use
8.4
22
8.1
47
Ease of Setup
7.8
9
7.2
26
Ease of Admin
8.1
6
7.6
27
Quality of Support
8.1
20
8.3
42
Has the product been a good partner in doing business?
8.6
6
8.1
25
Product Direction (% positive)
9.0
23
8.8
47
Features by Category
Customization
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
8.6
7
Not enough data
8.3
7
Not enough data
7.1
7
Not enough data
6.4
7
Not enough data
8.1
7
Not enough data
Deployment
9.0
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.1
7
Not enough data
8.8
7
Not enough data
Management
7.8
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Operations
8.6
6
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
Management
8.6
6
Not enough data
9.3
5
Not enough data
8.3
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure Provision
Not enough data
7.7
8
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.3
7
Management
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Functionality
Not enough data
8.3
8
System
8.1
15
9.5
11
Model Development
8.5
17
8.3
8
Feature Not Available
8.5
8
8.1
17
9.1
9
8.6
17
8.8
8
Model Development
8.2
14
8.5
12
Machine/Deep Learning Services
8.4
16
8.7
9
8.7
17
9.4
8
8.3
16
9.6
8
8.3
17
9.0
7
Machine/Deep Learning Services
8.2
14
9.2
8
8.2
14
9.3
7
Deployment
8.2
17
9.3
9
8.6
17
9.3
9
8.1
17
8.9
9
Generative AI
7.6
7
8.3
5
7.6
7
8.3
5
7.6
7
8.3
5
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Analytics
Not enough data
Not enough data
Security
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Data Analysis
Not enough data
8.7
9
Not enough data
9.0
7
Decision Making
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
Not enough data
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Connectivity
Not enough data
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
8.7
24
|
Verified
Operations
Not enough data
8.7
26
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Not enough data
8.7
13
|
Verified
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Domino Enterprise AI Platform and IBM Cloud Pak for Data are categorized as Data Science and Machine Learning Platforms
Unique Categories
Domino Enterprise AI Platform is categorized as MLOps Platforms
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Domino Enterprise AI Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
25.9%
Information Technology and Services
18.5%
Consulting
7.4%
Retail
7.4%
Insurance
7.4%
Other
33.3%
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Alternatives
Discussions
Dominoes Integration
1 Comment
Official Response from Domino Enterprise AI Platform
Absolutely – please visit https://docs.dominodatalab.com/en/latest/api_guide/f35c19/api-guide/Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
IBM Cloud Pak for Data has no discussions with answers
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