Compare Google Cloud Knowledge Catalog and IBM Cloud Pak for Data 
At a Glance
Market Segments
Small-Business (41.2% of reviews)
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud Knowledge Catalog
Star Rating
(17)4.3 out of 5
Market Segments
Small-Business (41.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud Knowledge CatalogIBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataGoogle Cloud Knowledge Catalog vs IBM Cloud Pak for Data
- Reviewers felt that Google Cloud Knowledge Catalog meets the needs of their business better than IBM Cloud Pak for Data.
- 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 Google Cloud Knowledge Catalog over IBM Cloud Pak for Data.
Pricing
Entry-Level Pricing
Google Cloud Knowledge Catalog
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Google Cloud Knowledge Catalog
No trial information availableIBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.8
13
8.5
47
Ease of Use
8.5
13
8.1
47
Ease of Setup
Not enough data
7.2
26
Ease of Admin
Not enough data
7.6
27
Quality of Support
8.2
13
8.3
42
Quality of Work
Not enough data
Not enough data
Responsiveness
Not enough data
Not enough data
Expertise of Team
Not enough data
Not enough data
Execution Ability
Not enough data
Not enough data
Communication Skills
Not enough data
Not enough data
Professionalism
Not enough data
Not enough data
Has the product been a good partner in doing business?
Not enough data
8.1
25
Product Direction (% positive)
9.3
16
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
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
Not enough data
9.5
11
Model Development
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Model Development
Not enough data
8.5
12
Machine/Deep Learning Services
Not enough data
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Machine/Deep Learning Services
Not enough data
9.2
8
Not enough data
9.3
7
Deployment
Not enough data
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Generative AI
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
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
9.0
10
Not enough data
8.2
10
Not enough data
7.3
10
Not enough data
8.2
10
8.3
5
Analytics
8.9
11
Not enough data
Security
8.5
11
9.0
5
8.3
9
Not enough data
8.7
9
Not enough data
Generative AI
7.7
10
Not enough data
7.8
10
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
Google Cloud Knowledge Catalog and IBM Cloud Pak for Data are categorized as Data Fabric
Unique Categories
Google Cloud Knowledge Catalog has no unique categories
IBM Cloud Pak for Data is categorized as Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Google Cloud Knowledge Catalog
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
Information Technology and Services
47.1%
Consumer Services
11.8%
Staffing and Recruiting
5.9%
Luxury Goods & Jewelry
5.9%
Information Services
5.9%
Other
23.5%
Computer Software
12.9%
Banking
8.6%
Information Technology and Services
8.6%
Education Management
5.7%
Financial Services
5.7%
Other
58.6%
Alternatives
Discussions
Google Cloud Knowledge Catalog has no discussions with answers
IBM Cloud Pak for Data has no discussions with answers
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