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- Collibra-vs-Oracle Enterprise Metadata Management
Compare Collibra and Oracle Enterprise Metadata Management 
At a Glance
Market Segments
Enterprise (73.4% of reviews)
Enterprise (43.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Collibra
Star Rating
(96)4.3 out of 5
Market Segments
Enterprise (73.4% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about CollibraOracle Enterprise Metadata Management
Star Rating
(16)3.7 out of 5
Market Segments
Enterprise (43.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Oracle Enterprise Metadata ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Collibra excels in Data Subject Access Requests with a score of 8.7, indicating a strong capability in managing user data requests efficiently, while Oracle Enterprise Metadata Management scores lower at 7.6 in the same area, suggesting it may not be as robust in this functionality.
- Reviewers mention that Collibra's Data Lineage feature is rated at 7.7, providing good visibility into data flow and transformations, whereas Oracle's score of 5.7 indicates a significant gap in this critical area, which could impact data governance efforts.
- G2 users highlight that Collibra's Business Glossary feature is well-received with a score of 8.4, facilitating better understanding and communication of data terms across the organization, while Oracle's score of 5.7 suggests it may lack in providing a comprehensive glossary.
- Users on G2 report that Collibra's Data Mapping - automated feature scores 8.3, showcasing its efficiency in automating data mapping processes, compared to Oracle's lower performance in this area, which could lead to more manual effort and potential errors.
- Reviewers mention that Collibra's Quality of Support is rated at 8.2, indicating a strong support system for users, while Oracle's score of 7.4 suggests that users may experience less satisfaction with support services.
- Users say that Collibra's Product Direction is rated exceptionally high at 9.5, reflecting a positive outlook on future developments and enhancements, whereas Oracle's score of 5.1 indicates concerns about its future trajectory and innovation.
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Pricing
Entry-Level Pricing
Collibra
No pricing availableOracle Enterprise Metadata Management
No pricing availableFree Trial
Collibra
Free Trial is available
Oracle Enterprise Metadata Management
No trial information availableRatings
Meets Requirements
8.4
81
6.7
6
Ease of Use
8.1
83
5.6
6
Ease of Setup
7.8
62
Not enough data
Ease of Admin
8.0
63
Not enough data
Quality of Support
8.2
83
7.5
6
Has the product been a good partner in doing business?
8.7
64
Not enough data
Product Direction (% positive)
9.4
80
3.0
5
Features by Category
Data Governance
7.5
6
8.7
5
6.7
6
Not enough data
7.7
8
5.7
5
Data Preparation
7.7
8
6.3
5
6.4
7
Not enough data
Feature Not Available
7.3
5
Feature Not Available
7.0
5
Collaboration
7.6
7
7.7
5
7.7
8
Not enough data
8.1
8
5.7
5
7.7
8
6.0
5
Artificial Intelligence
7.1
7
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
50
Not enough data
Feature Not Available
Not enough data
7.7
59
Not enough data
6.8
57
Not enough data
Management
8.5
51
Not enough data
8.3
47
Not enough data
7.3
39
Not enough data
6.9
45
Not enough data
7.8
47
Not enough data
Compliance
7.7
45
Not enough data
7.7
50
Not enough data
7.4
44
Not enough data
7.6
40
Not enough data
Security
7.7
40
Not enough data
7.9
47
Not enough data
7.7
34
Not enough data
Data Quality
7.2
35
Not enough data
Feature Not Available
Not enough data
7.5
36
Not enough data
Maintainence
6.7
35
Not enough data
7.6
39
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
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
13
Not enough data
7.6
9
Not enough data
8.2
13
Not enough data
8.5
11
Not enough data
8.3
11
Not enough data
8.2
16
Not enough data
8.3
15
Not enough data
8.3
7
Not enough data
8.2
10
Not enough data
8.8
8
Not enough data
7.3
8
Not enough data
8.6
17
Not enough data
Functionality
8.1
7
Not enough data
7.4
7
Not enough data
6.4
6
Not enough data
7.9
7
Not enough data
6.4
7
Not enough data
Functionality
8.2
11
Not enough data
8.5
11
Not enough data
6.3
9
Not enough data
6.7
10
Not enough data
6.7
9
Not enough data
6.7
10
Not enough data
7.5
10
Not enough data
8.3
13
Not enough data
7.6
12
Not enough data
7.9
12
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
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
8.4
33
Not enough data
7.4
29
Not enough data
7.8
30
Not enough data
7.7
34
Not enough data
8.2
28
Not enough data
Reporting
7.5
27
Not enough data
7.7
25
Not enough data
7.7
33
Not enough data
Generative AI
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
Functionality
7.6
9
Not enough data
7.2
9
Not enough data
8.6
6
Not enough data
8.0
9
Not enough data
Functionality
8.3
17
Not enough data
8.0
15
Not enough data
8.3
14
Not enough data
7.1
13
Not enough data
7.9
14
Not enough data
Management
7.3
18
Not enough data
7.8
15
Not enough data
8.1
14
Not enough data
7.3
19
Not enough data
8.3
18
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Collibra and Oracle Enterprise Metadata Management are categorized as Machine Learning Data Catalog
Unique Categories
Oracle Enterprise Metadata Management has no unique categories
Reviews
Reviewers' Company Size
Collibra
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Enterprise Metadata Management
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
11.7%
Pharmaceuticals
8.5%
Banking
8.5%
Telecommunications
6.4%
Insurance
6.4%
Other
58.5%
Marketing and Advertising
18.8%
Information Technology and Services
12.5%
Hospital & Health Care
12.5%
Research
6.3%
Real Estate
6.3%
Other
43.8%
Most Helpful Reviews
Collibra
Most Helpful Favorable Review
Verified User in Oil & Energy
Collibra is one of the best Metadata and governance management tools available in the market. Its easy-configurable Asset Models helps us customise the tool to the maximum. It has all the functionalities for any organisation to get started with their Data...
Most Helpful Critical Review
Verified User in Retail
Unfortunately, there are several weak points of Collibra. Very technical and not intuitive User Interface heavily impacts the end user's experience. All people without technical knowledge have many issues at the beginning of their Collibra journey which...
Oracle Enterprise Metadata Management
Most Helpful Favorable Review
Verified User in Food Production
It is a comprehensive metadata management platform, allowing for interactive searches and browses along with analysis. Database management is done very appropriately and accordingly. It has a great architecture and allows for interactive searches and...
Most Helpful Critical Review
Ann Forderer B.
Verified User in Marketing and Advertising
We chose not to use OEM because it was a bit to complicated to get started. There seemed to be a steep learning curve. We also did not find the graphic interface to be intuitive.
Verified User in Oil & Energy
Collibra is one of the best Metadata and governance management tools available in the market. Its easy-configurable Asset Models helps us customise the tool to the maximum. It has all the functionalities for any organisation to get started with their Data...
Verified User in Food Production
It is a comprehensive metadata management platform, allowing for interactive searches and browses along with analysis. Database management is done very appropriately and accordingly. It has a great architecture and allows for interactive searches and...
Verified User in Retail
Unfortunately, there are several weak points of Collibra. Very technical and not intuitive User Interface heavily impacts the end user's experience. All people without technical knowledge have many issues at the beginning of their Collibra journey which...
Ann Forderer B.
Verified User in Marketing and Advertising
We chose not to use OEM because it was a bit to complicated to get started. There seemed to be a steep learning curve. We also did not find the graphic interface to be intuitive.
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
Oracle Enterprise Metadata Management has no discussions with answers
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