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Compare Collibra and IBM Cloud Pak for Data 
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At a Glance
Market Segments
Enterprise (70.7% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Collibra
Star Rating
(102)4.2 out of 5
Market Segments
Enterprise (70.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about CollibraIBM 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 DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviews say that both Collibra and IBM Cloud Pak for Data have a solid star rating of 4.3, indicating that users find both products to be reliable and effective in their respective functionalities.
- Users report that Collibra has a stronger presence in the enterprise market, with 73.4% of reviews coming from enterprise users, compared to IBM Cloud Pak for Data's 50.0%. This suggests that Collibra may be better suited for larger organizations looking for comprehensive data governance solutions.
- Reviewers mention that Collibra excels in ease of setup with a score of 7.8, while IBM Cloud Pak for Data trails slightly at 7.2. Users appreciate Collibra's intuitive onboarding process, which helps teams get started quickly.
- Users on G2 highlight that Collibra's quality of support is rated at 8.2, while IBM Cloud Pak for Data scores slightly higher at 8.3. However, many users feel that Collibra's support team is particularly responsive and knowledgeable, making it a preferred choice for ongoing assistance.
- G2 users report that Collibra shines in product direction with a score of 9.4, indicating a strong commitment to innovation and user feedback. In contrast, IBM Cloud Pak for Data has a score of 8.8, suggesting that while it is also focused on improvement, it may not be as proactive in addressing user needs.
- Users say that both products have similar ease of use scores at 8.1, but Collibra's user interface is often praised for its clarity and user-friendly design, making it easier for teams to navigate and utilize its features effectively.
Pricing
Entry-Level Pricing
Collibra
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Collibra
Free Trial is available
IBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.4
87
8.5
47
Ease of Use
8.0
89
8.1
47
Ease of Setup
7.7
68
7.2
26
Ease of Admin
8.0
65
7.6
27
Quality of Support
8.2
89
8.3
42
Has the product been a good partner in doing business?
8.7
66
8.1
25
Product Direction (% positive)
9.3
86
8.8
47
Features by Category
Data Governance
7.9
7
Not enough data
6.9
7
Not enough data
8.0
9
Not enough data
Data Preparation
8.0
9
Not enough data
6.7
8
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Collaboration
7.9
8
Not enough data
7.8
9
Not enough data
8.3
9
Not enough data
8.0
9
Not enough data
Artificial Intelligence
7.3
8
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
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
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
Administration
7.4
54
Not enough data
Feature Not Available
Not enough data
7.8
63
Not enough data
7.0
61
Not enough data
Management
8.5
55
Not enough data
8.4
51
Not enough data
7.4
43
Not enough data
7.0
49
Not enough data
7.9
51
Not enough data
Compliance
7.8
49
Not enough data
7.8
54
Not enough data
7.5
48
Not enough data
7.7
44
Not enough data
Security
7.7
44
Not enough data
7.8
51
Not enough data
7.7
38
Not enough data
Data Quality
7.3
39
Not enough data
Feature Not Available
Not enough data
7.6
40
Not enough data
Maintainence
6.7
39
Not enough data
7.5
43
Not enough data
Generative AI
6.3
8
Not enough data
6.5
8
Not enough data
Agentic AI - Data Governance
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
Functionality
8.7
14
Not enough data
7.7
10
Not enough data
8.2
14
Not enough data
8.5
12
Not enough data
8.3
12
Not enough data
8.3
17
Not enough data
8.4
16
Not enough data
8.3
8
Not enough data
8.2
11
Not enough data
8.7
9
Not enough data
7.2
9
Not enough data
8.6
18
Not enough data
Functionality
8.3
8
Not enough data
7.7
8
Not enough data
6.9
7
Not enough data
8.1
8
Not enough data
6.9
8
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
Functionality
8.1
13
Not enough data
8.3
13
Not enough data
6.5
11
Not enough data
6.8
12
Not enough data
6.7
11
Not enough data
6.7
12
Not enough data
7.5
12
Not enough data
8.2
15
Not enough data
7.7
14
Not enough data
8.0
14
Not enough data
Agentic AI - Sensitive Data Discovery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
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
Data management
8.5
35
Not enough data
7.3
31
Not enough data
7.8
32
Not enough data
7.9
36
Not enough data
8.3
30
Not enough data
Reporting
7.7
29
Not enough data
7.7
27
Not enough data
7.7
35
Not enough data
Generative AI
6.3
5
Not enough data
6.3
5
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
Agentic AI - SAP Store
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
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
Functionality
7.7
10
Not enough data
7.3
10
Not enough data
8.6
7
Not enough data
8.0
10
Not enough data
Functionality
8.4
18
Not enough data
8.1
16
Not enough data
8.3
15
Not enough data
7.1
14
Not enough data
7.9
15
Not enough data
Management
7.4
19
Not enough data
7.8
16
Not enough data
8.1
15
Not enough data
7.3
20
Not enough data
8.3
19
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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
Collibra and IBM Cloud Pak for Data are categorized as Data Fabric
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
Collibra
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
Financial Services
12.1%
Banking
9.1%
Pharmaceuticals
8.1%
Telecommunications
6.1%
Insurance
6.1%
Other
58.6%
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
What is Critical data elements? How to identify CDE.
2 Comments
JS
There are a variety of criteria that may determine a data element to be critical. These criteria may include (but are not limited to) the following:
1)...Read more
Collibra has no more discussions with answers
IBM Cloud Pak for Data has no discussions with answers
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