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At a Glance
Market Segments
Enterprise (54.5% of reviews)
Enterprise (70.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Ranger
Star Rating
(26)4.2 out of 5
Market Segments
Enterprise (54.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache RangerCollibra
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 CollibraSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Collibra excels in its Business Glossary feature, scoring 8.4, which helps organizations maintain a clear understanding of their data assets. In contrast, Apache Ranger shines with a perfect score of 9.7 in the same category, indicating a more robust offering for managing business terms and definitions.
- Reviewers mention that Collibra's Data Profiling feature scores 7.5, which is decent but falls short compared to Apache Ranger's impressive score of 9.3. This suggests that users find Apache Ranger's data profiling capabilities to be more comprehensive and effective in assessing data quality.
- G2 users highlight that Collibra's Data Lineage feature scores 8.1, providing a good level of visibility into data flow. However, Apache Ranger outperforms with a score of 9.3, indicating that users appreciate its superior ability to track data lineage and understand data transformations.
- Users on G2 report that Collibra's Policy Management feature scores 7.9, which is satisfactory, but Apache Ranger's score of 9.5 suggests a more advanced and user-friendly approach to managing data policies, making it easier for organizations to enforce compliance.
- Reviewers mention that Collibra's Data Quality Management feature scores 6.9, indicating room for improvement. In contrast, Apache Ranger's score of 9.5 highlights its strong capabilities in ensuring data quality, which is crucial for organizations relying on accurate data for decision-making.
- Users say that while both products offer solid compliance features, Apache Ranger's Compliance Monitoring score of 9.2 significantly outshines Collibra's score of 7.9, suggesting that users find Ranger's tools more effective for maintaining regulatory compliance.
Pricing
Entry-Level Pricing
Apache Ranger
No pricing availableCollibra
No pricing availableFree Trial
Apache Ranger
No trial information availableCollibra
Free Trial is available
Ratings
Meets Requirements
8.9
17
8.4
87
Ease of Use
8.1
17
8.0
89
Ease of Setup
9.0
16
7.7
68
Ease of Admin
8.9
16
8.0
65
Quality of Support
8.2
16
8.2
89
Has the product been a good partner in doing business?
9.0
13
8.7
66
Product Direction (% positive)
8.3
14
9.3
86
Features by Category
Data Governance
Not enough data
7.9
7
Not enough data
6.9
7
Not enough data
8.0
9
Data Preparation
Not enough data
8.0
9
Not enough data
6.7
8
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Collaboration
Not enough data
7.9
8
Not enough data
7.8
9
Not enough data
8.3
9
Not enough data
8.0
9
Artificial Intelligence
Not enough data
7.3
8
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
9.1
11
7.4
54
8.8
10
Feature Not Available
8.8
10
7.8
63
8.2
12
7.0
61
Management
9.7
5
8.5
55
8.9
6
8.4
51
9.3
5
7.4
43
9.3
5
7.0
49
9.3
5
7.9
51
Compliance
8.9
11
7.8
49
8.5
11
7.8
54
9.3
12
7.5
48
9.2
12
7.7
44
Security
9.3
7
7.7
44
9.3
7
7.8
51
9.3
7
7.7
38
Data Quality
8.5
10
7.3
39
8.8
10
Feature Not Available
8.8
8
7.6
40
Maintainence
9.5
7
6.7
39
9.5
7
7.5
43
Generative AI
Not enough data
6.3
8
Not enough data
6.5
8
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
Not enough data
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
Functionality
Not enough data
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
Functionality
Not enough data
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
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
Not enough data
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
Reporting
Not enough data
7.7
29
Not enough data
7.7
27
Not enough data
7.7
35
Generative AI
Not enough data
6.3
5
Not enough data
6.3
5
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
Not enough data
7.7
10
Not enough data
7.3
10
Not enough data
8.6
7
Not enough data
8.0
10
Functionality
Not enough data
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
Management
Not enough data
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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Apache Ranger and Collibra are categorized as Data Governance
Unique Categories
Apache Ranger has no unique categories
Reviews
Reviewers' Company Size
Apache Ranger
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Collibra
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
22.7%
Telecommunications
13.6%
Financial Services
13.6%
Retail
9.1%
Computer Software
9.1%
Other
31.8%
Financial Services
12.1%
Banking
9.1%
Pharmaceuticals
8.1%
Telecommunications
6.1%
Insurance
6.1%
Other
58.6%
Discussions
Apache Ranger has no discussions with answers
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
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