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Compare Coalesce Catalog (formerly CastorDoc) and Monte Carlo 
Featured Products
At a Glance
Market Segments
Mid-Market (58.7% of reviews)
Enterprise (50.5% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Coalesce Catalog (formerly CastorDoc)
Star Rating
(64)4.7 out of 5
Market Segments
Mid-Market (58.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Coalesce Catalog (formerly CastorDoc)Monte Carlo
Star Rating
(489)4.3 out of 5
Market Segments
Enterprise (50.5% 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 data observability, with users highlighting its real-time alerts for data quality issues. This proactive approach allows teams to address problems before they impact stakeholders, significantly enhancing data reliability.
- Users say that Coalesce Catalog (formerly CastorDoc) shines in data discovery, particularly due to its lineage feature. Reviewers appreciate how this functionality simplifies the process of connecting to various data sources, making it easier to navigate complex data environments.
- According to verified reviews, Monte Carlo has a higher overall satisfaction score, indicating that users feel more positively about their experience with the platform. This is reflected in feedback praising its continuous feature updates and intuitive design, which contribute to a better user experience.
- Reviewers mention that Coalesce Catalog offers a user-friendly interface, with many finding it simple and intuitive to use. The integration with Slack is particularly noted as a valuable feature, allowing users to quickly access data information by simply mentioning the tool.
- G2 reviewers highlight that while Monte Carlo has a strong focus on data monitoring, it faces challenges in ease of use compared to Coalesce Catalog. Users have noted that Coalesce's setup and administration processes are more straightforward, contributing to a smoother onboarding experience.
- Users report that both platforms have strong support capabilities, but Coalesce Catalog edges out with slightly higher ratings in this area. Reviewers appreciate the responsive support team, which enhances the overall user experience and helps resolve issues more efficiently.
Pricing
Entry-Level Pricing
Coalesce Catalog (formerly CastorDoc)
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
Coalesce Catalog (formerly CastorDoc)
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
9.0
50
8.3
447
Ease of Use
9.6
52
8.2
454
Ease of Setup
9.3
26
8.2
319
Ease of Admin
9.1
25
8.5
161
Quality of Support
9.7
47
9.0
401
Has the product been a good partner in doing business?
9.5
25
9.2
164
Product Direction (% positive)
9.8
53
8.9
444
Features by Category
Data Governance
10.0
13
Not enough data
9.6
9
Not enough data
9.9
13
Not enough data
Data Preparation
9.7
12
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
Collaboration
9.3
12
Not enough data
9.4
11
Not enough data
9.9
13
Not enough data
9.9
14
Not enough data
Artificial Intelligence
9.4
11
Not enough data
8.2
10
Not enough data
8.5
9
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
7.9
19
Not enough data
8.5
21
Not enough data
7.7
17
Not enough data
8.0
16
Not enough data
Management
7.9
28
Not enough data
9.1
30
Not enough data
Feature Not Available
Not enough data
7.6
19
Not enough data
9.4
32
Not enough data
Compliance
8.2
17
Not enough data
8.0
18
Not enough data
7.1
14
Not enough data
7.4
15
Not enough data
Security
8.3
25
Not enough data
8.2
23
Not enough data
8.3
20
Not enough data
Data Quality
7.7
14
Not enough data
8.1
15
Not enough data
8.2
17
Not enough data
Maintainence
8.0
22
Not enough data
8.3
18
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
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
Data Management
8.9
9
8.6
52
9.3
10
8.5
48
9.3
10
8.6
52
7.8
10
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
7.8
10
7.9
51
8.5
10
7.7
48
Monitoring and Management
8.5
10
9.2
56
8.1
8
7.7
49
Cloud Deployment
7.6
7
7.5
44
8.6
7
7.1
42
Generative AI
Not enough data
6.3
35
Not enough data
6.2
35
Data management
9.3
23
Not enough data
8.2
19
Not enough data
9.1
22
Not enough data
9.7
26
Not enough data
9.4
25
Not enough data
Reporting
9.0
16
Not enough data
8.0
15
Not enough data
8.6
13
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
7.4
292
Not enough data
8.8
330
Not enough data
8.1
297
Not enough data
8.0
305
Management
Not enough data
8.7
327
Not enough data
7.7
286
Not enough data
8.3
319
Not enough data
8.0
310
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
Functionality
Not enough data
8.1
189
Not enough data
6.5
175
Not enough data
6.7
169
Not enough data
6.1
164
Not enough data
6.5
166
Management
Not enough data
7.2
169
Not enough data
7.5
169
Not enough data
8.0
169
Not enough data
7.4
176
Not enough data
7.5
169
Generative AI
Not enough data
5.2
145
Not enough data
5.3
145
Categories
Categories
Shared Categories
Coalesce Catalog (formerly CastorDoc) and Monte Carlo are categorized as DataOps Platforms
Unique Categories
Coalesce Catalog (formerly CastorDoc) is categorized as Data Governance, Active Metadata Management, and Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Coalesce Catalog (formerly CastorDoc)
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
Information Technology and Services
17.5%
Financial Services
15.9%
Computer Software
11.1%
Marketing and Advertising
6.3%
Retail
3.2%
Other
46.0%
Financial Services
13.9%
Information Technology and Services
11.5%
Computer Software
11.3%
Marketing and Advertising
3.6%
Manufacturing
3.4%
Other
56.3%
Alternatives
Discussions
Coalesce Catalog (formerly CastorDoc) has no 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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