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At a Glance
Market Segments
Enterprise (70.7% of reviews)
Mid-Market (66.8% 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 CollibraDataGrail
Star Rating
(193)4.7 out of 5
Market Segments
Mid-Market (66.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DataGrailSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Collibra excels in its Data Subject Access Requests functionality, scoring 8.7, while DataGrail shines even brighter with a score of 9.3, indicating a more robust feature set for managing data access requests.
- Reviewers mention that DataGrail's Quality of Support is exceptional, with a score of 9.8, significantly higher than Collibra's 8.2, suggesting that users may find more responsive and helpful support with DataGrail.
- G2 users highlight that DataGrail offers superior Data Discovery capabilities, scoring 9.1 compared to Collibra's 8.2, which may lead to more efficient data management and insights for users.
- Users on G2 report that Collibra's Data Lineage feature scores 7.7, while DataGrail's is notably better at 9.1, indicating that DataGrail provides a more comprehensive view of data flow and transformations.
- Reviewers say that DataGrail's Identity Verification feature is more effective, scoring 8.9 compared to Collibra's 7.6, which may enhance security and compliance for organizations using DataGrail.
- Users report that Collibra's Workflow Management scores 7.8, while DataGrail's is significantly higher at 9.1, suggesting that DataGrail offers a more streamlined and efficient workflow process for users.
Pricing
Entry-Level Pricing
Collibra
No pricing availableDataGrail
No pricing availableFree Trial
Collibra
Free Trial is available
DataGrail
No trial information availableRatings
Meets Requirements
8.4
87
9.0
157
Ease of Use
8.0
89
8.9
159
Ease of Setup
7.7
68
8.5
120
Ease of Admin
8.0
65
8.9
106
Quality of Support
8.2
89
9.8
158
Has the product been a good partner in doing business?
8.7
66
9.6
108
Product Direction (% positive)
9.3
86
9.5
139
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
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
9.1
88
7.7
10
8.8
97
8.2
14
8.7
64
8.5
12
8.5
66
8.3
12
8.7
76
8.3
17
9.0
69
8.4
16
8.6
65
8.3
8
8.5
56
8.2
11
8.3
51
8.7
9
8.7
63
7.2
9
8.2
53
8.6
18
8.8
52
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
Functionality
Not enough data
8.8
32
Not enough data
8.0
28
Not enough data
8.7
32
Not enough data
9.0
28
Not enough data
8.7
27
Not enough data
8.4
28
Not enough data
7.5
21
Not enough data
8.1
25
Not enough data
7.7
19
Functionality
8.1
13
9.0
21
8.3
13
8.8
15
6.5
11
8.8
17
6.8
12
9.1
16
6.7
11
8.9
14
6.7
12
8.7
14
7.5
12
8.8
21
8.2
15
9.0
26
7.7
14
9.5
26
8.0
14
9.2
21
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
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
Analytics
Not enough data
Not enough data
Security
Not enough data
Not enough data
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
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
Functionality
7.7
10
8.8
97
7.3
10
8.9
83
8.6
7
9.1
83
8.0
10
9.0
79
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
Categories
Categories
Shared Categories
Collibra and DataGrail are categorized as Sensitive Data Discovery, Data Subject Access Request (DSAR), and Data Privacy Management
Unique Categories
Collibra is categorized as SAP Store, Active Metadata Management, Privacy Impact Assessment (PIA), Data Governance, Machine Learning Data Catalog, Data Quality, and Data Fabric
DataGrail is categorized as Consent Management Platform (CMP)
Reviews
Reviewers' Company Size
Collibra
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
DataGrail
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
23.2%
Information Technology and Services
10.5%
Retail
10.0%
Consumer Goods
5.8%
Health, Wellness and Fitness
4.7%
Other
45.8%
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
What is DataGrail used for?
1 Comment
Official Response from DataGrail
DataGrail is a complete, AI-powered privacy automation platform. Customers commonly use DataGrail for data subject request automation, consent management,...Read more
DataGrail has no more discussions with answers
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