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Compare DataGrail and MineOS 
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At a Glance
Market Segments
Mid-Market (66.8% of reviews)
Mid-Market (49.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DataGrail
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 DataGrailMineOS
Star Rating
(221)4.8 out of 5
Market Segments
Mid-Market (49.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about MineOSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that DataGrail excels in its Data Subject Access Requests functionality, scoring 9.3, while MineOS shines even brighter with a score of 9.8, indicating a more robust feature set for managing these requests.
- Reviewers mention that MineOS offers superior Identity Verification capabilities, achieving a score of 9.6 compared to DataGrail's 8.9, suggesting that users may find MineOS more reliable for verifying identities.
- G2 users highlight that DataGrail's Data Mapping - automated feature is rated 8.8, but MineOS outperforms it with a score of 9.5, indicating a more efficient automated mapping process.
- Users on G2 note that MineOS provides a better experience with Consent Management, scoring 9.5 versus DataGrail's 8.8, which may lead to more effective handling of user consent.
- Reviewers say that DataGrail's Quality of Support is rated highly at 9.8, slightly edging out MineOS's 9.7, suggesting that users may find DataGrail's support team more responsive and helpful.
- Users report that both products have strong Compliance features, but DataGrail's score of 9.6 in Sensitive Data Compliance indicates a slight edge over MineOS's 9.4, which may be crucial for organizations focused on data protection regulations.
Pricing
Entry-Level Pricing
DataGrail
No pricing availableMineOS
No pricing availableFree Trial
DataGrail
No trial information availableMineOS
Free Trial is available
Ratings
Meets Requirements
9.0
157
9.4
193
Ease of Use
8.9
159
9.5
194
Ease of Setup
8.5
120
9.4
149
Ease of Admin
8.9
106
9.4
142
Quality of Support
9.8
158
9.7
191
Has the product been a good partner in doing business?
9.6
108
9.6
141
Product Direction (% positive)
9.5
139
9.5
174
Features by Category
Administration
Not enough data
9.2
27
Not enough data
9.3
25
Not enough data
9.2
30
Not enough data
9.3
28
Management
Not enough data
8.5
23
Not enough data
9.7
29
Not enough data
9.4
24
Not enough data
8.9
29
Not enough data
8.3
23
Compliance
Not enough data
9.5
28
Not enough data
9.2
25
Not enough data
8.8
25
Not enough data
9.2
28
Security
Not enough data
9.1
25
Not enough data
9.0
23
Not enough data
9.6
27
Data Quality
Not enough data
8.9
21
Not enough data
8.9
22
Not enough data
9.3
20
Maintainence
Not enough data
8.6
22
Not enough data
9.0
21
Generative AI
Not enough data
6.2
7
Not enough data
6.2
7
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
9.1
88
9.8
126
8.8
97
9.7
137
8.7
64
9.6
123
8.5
66
Feature Not Available
8.7
76
9.5
122
9.0
69
9.6
118
8.6
65
Feature Not Available
8.5
56
9.6
109
8.3
51
9.4
100
8.7
63
9.5
109
8.2
53
9.5
105
8.8
52
9.6
108
Functionality
8.8
32
9.4
21
8.0
28
9.1
20
8.7
32
9.0
17
9.0
28
9.2
19
8.7
27
9.3
18
8.4
28
8.5
16
7.5
21
7.9
13
8.1
25
8.4
18
7.7
19
8.3
13
Functionality
Not enough data
9.4
15
Not enough data
8.6
12
Not enough data
8.7
17
Not enough data
9.5
18
Not enough data
8.9
16
Functionality
9.0
21
9.4
17
8.8
15
9.2
15
8.8
17
9.1
13
9.1
16
9.1
13
8.9
14
8.7
14
8.7
14
9.2
13
8.8
21
9.7
15
9.0
26
9.5
18
9.5
26
9.4
20
9.2
21
9.4
18
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
AI Compliance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Risk Management & Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
AI Lifecycle Management
Not enough data
Not enough data
Access Control and Security
Not enough data
Not enough data
Collaboration and Communication
Not enough data
Not enough data
Agentic AI - AI Governance Tools
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
8.8
97
9.7
137
8.9
83
9.4
114
9.1
83
9.6
119
9.0
79
9.4
111
Categories
Categories
Shared Categories
DataGrail and MineOS are categorized as Data Privacy Management, Data Subject Access Request (DSAR), Consent Management Platform (CMP), and Sensitive Data Discovery
Unique Categories
DataGrail has no unique categories
Reviews
Reviewers' Company Size
DataGrail
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MineOS
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
23.2%
Information Technology and Services
10.5%
Retail
10.0%
Consumer Goods
5.8%
Health, Wellness and Fitness
4.7%
Other
45.8%
Computer Software
21.7%
Information Technology and Services
15.7%
Marketing and Advertising
6.9%
Financial Services
5.1%
Consumer Goods
4.1%
Other
46.5%
Alternatives
Discussions
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
What is Mine PrivacyOps used for?
1 Comment
LJ
MineOS is a complete Privacy Solution for any enterprise from Data Discovery to Consent. It provides PETs and makes your organization safe and secure...Read more
MineOS has no more discussions with answers
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