Compare Collibra and Monte Carlo 
At a Glance
Market Segments
Enterprise (70.7% of reviews)
Enterprise (50.7% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
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 CollibraMonte Carlo
Star Rating
(487)4.3 out of 5
Market Segments
Enterprise (50.7% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Monte Carlo excels in user satisfaction, reflected in its higher overall G2 Score compared to Collibra. Users appreciate its real-time alerts for data quality, which significantly enhance awareness of ongoing data issues, allowing teams to address problems proactively.
- According to verified reviews, Collibra shines in its comprehensive approach to data governance, integrating Data Quality, Data Product Store, and governance features into one platform. Users highlight its ability to provide transparency and structured management of data assets, making them more trustworthy and accessible.
- Reviewers mention that Monte Carlo's ease of use is a standout feature, with many noting its intuitive interface and continuous implementation of new features. This focus on user experience helps teams maintain a better sense of data reliability, as they can quickly adapt to changes and issues.
- Users say that Collibra's implementation process can be more challenging, with some reviewers pointing out configuration difficulties. However, once set up, it offers robust capabilities for managing and governing data, which can be a significant advantage for organizations focused on data governance.
- G2 reviewers highlight that Monte Carlo provides exceptional support, with a quality of support score that outshines Collibra's. Users appreciate the responsiveness and helpfulness of the support team, which contributes to a smoother experience when addressing technical issues.
- According to recent feedback, Collibra's strong focus on data governance and quality audits is a key strength, but it may not be as specialized in real-time monitoring as Monte Carlo. Users looking for a dedicated data observability tool may find Monte Carlo's features more aligned with their needs.
Pricing
Entry-Level Pricing
Collibra
No pricing availableMonte Carlo
Start
Contact Us
All you need to make data reliable for one team
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Lineage
Free Trial
Collibra
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.4
87
8.3
445
Ease of Use
8.0
89
8.2
452
Ease of Setup
7.7
68
8.1
317
Ease of Admin
8.0
65
8.5
161
Quality of Support
8.2
89
9.0
399
Has the product been a good partner in doing business?
8.7
66
9.2
164
Product Direction (% positive)
9.3
86
8.9
442
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
Not enough data
9.0
260
Not enough data
8.8
261
Not enough data
7.8
237
Not enough data
8.3
246
Not enough data
7.7
241
Not enough data
7.4
243
Agentic AI - Database Monitoring
Not enough data
7.1
13
Not enough data
6.9
13
Not enough data
6.9
13
Not enough data
7.1
13
Not enough data
6.8
12
Not enough data
6.5
13
Not enough data
7.1
13
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
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
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
8.6
52
Not enough data
8.5
48
Not enough data
8.6
52
Not enough data
7.9
50
Agentic AI - DataOps Platforms
Not enough data
7.6
7
Not enough data
6.7
6
Not enough data
6.9
6
Not enough data
6.9
6
Not enough data
6.9
6
Analytics
Not enough data
7.9
51
Not enough data
7.7
48
Monitoring and Management
Not enough data
9.2
56
Not enough data
7.7
49
Cloud Deployment
Not enough data
7.5
44
Not enough data
7.1
42
Generative AI
Not enough data
6.3
35
Not enough data
6.2
35
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
Functionality
Not enough data
7.4
292
Not enough data
8.8
328
Not enough data
8.1
296
Not enough data
8.0
304
Management
Not enough data
8.7
326
Not enough data
7.7
286
Not enough data
8.3
317
Not enough data
8.0
308
Not enough data
8.1
313
Generative AI
Not enough data
5.8
232
Agentic AI - Data Observability
Not enough data
6.3
28
Not enough data
6.4
28
Not enough data
6.8
28
Not enough data
6.4
26
Not enough data
6.8
30
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
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
8.1
189
8.1
16
6.4
174
8.3
15
6.7
169
7.1
14
6.1
164
7.9
15
6.4
165
Management
7.4
19
7.2
169
7.8
16
7.5
169
8.1
15
7.9
168
7.3
20
7.4
176
8.3
19
7.5
169
Generative AI
Not enough data
5.2
145
Not enough data
5.3
145
Categories
Categories
Shared Categories
Collibra and Monte Carlo are categorized as Data Quality
Unique Categories
Reviews
Reviewers' Company Size
Collibra
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monte Carlo
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%
Financial Services
13.9%
Computer Software
11.3%
Information Technology and Services
11.1%
Marketing and Advertising
3.6%
Manufacturing
3.4%
Other
56.5%
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 Monte Carlo software?
1 Comment
MV
Monte Carlo is a fully automated, end-to-end data observability platform that helps data engineering teams reduce time to detection and resolution for data...Read more
Monte Carlo has no more discussions with answers
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