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Compare Kensu and Monte Carlo 
Featured Products
At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (50.7% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Kensu
Star Rating
(10)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about KensuMonte Carlo
Star Rating
(470)4.4 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 overall user satisfaction, boasting a high G2 Score that reflects its strong performance in data observability. Users appreciate features like real-time alerts for data quality issues, which have significantly improved their ability to address problems proactively.
- According to verified reviews, Kensu provides a sense of security for users, with many highlighting its ability to take action before data issues escalate. This proactive approach is particularly valued by users who need to ensure data integrity across various integrations, such as Oracle and MySQL.
- Reviewers mention that Monte Carlo's implementation process is generally smooth, with users noting the tool's intuitive design and ongoing feature enhancements that make it easier to use. This is contrasted by some users who find that Kensu, while effective, may not be as intuitive for new users.
- Users say that both products offer strong real-time monitoring capabilities, but Monte Carlo stands out with its focus on data reliability. Users have reported that it allows them to fix issues before stakeholders notice, enhancing their overall data management strategy.
- Reviewers highlight that while both tools provide good support, Monte Carlo receives particularly high marks for its customer service, with users praising the quality of support they receive. In comparison, Kensu's support is seen as adequate but not as robust, with some users expressing a desire for more comprehensive assistance.
- According to recent feedback, Monte Carlo's ability to provide a single pane view of data observability is a significant advantage, helping teams maintain oversight of their data landscape. Kensu, while effective, is noted for its slightly less comprehensive visibility features, which may impact users needing a holistic view of their data.
Pricing
Entry-Level Pricing
Kensu
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
Kensu
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
7.8
10
8.3
437
Ease of Use
8.2
10
8.2
444
Ease of Setup
8.6
6
8.2
308
Ease of Admin
7.7
5
8.5
159
Quality of Support
8.1
9
9.0
391
Has the product been a good partner in doing business?
7.0
5
9.3
162
Product Direction (% positive)
8.8
10
8.9
433
Features by Category
Data Integration
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
Agentic AI - Data Management Platform (DMP)
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
Data Analysis & Optimization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
238
Not enough data
8.3
247
Not enough data
7.7
242
Not enough data
7.4
244
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
Not enough data
8.5
51
Not enough data
8.4
47
Not enough data
8.6
51
Not enough data
7.9
49
Agentic AI - DataOps Platforms
Not enough data
7.2
6
Not enough data
6.0
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
6.3
5
Analytics
Not enough data
7.8
50
Not enough data
7.7
47
Monitoring and Management
Not enough data
9.2
55
Not enough data
7.6
48
Cloud Deployment
Not enough data
7.4
43
Not enough data
7.0
41
Generative AI
Not enough data
6.2
34
Not enough data
6.1
34
Functionality
8.3
7
7.4
291
8.6
7
8.8
323
8.3
6
8.1
294
8.1
7
8.0
300
Management
8.3
7
8.7
319
8.6
7
7.7
287
8.8
7
8.3
311
8.3
7
8.0
305
8.3
7
8.1
312
Generative AI
Not enough data
5.8
231
Agentic AI - Data Observability
Not enough data
6.1
27
Not enough data
6.2
27
Not enough data
6.7
27
Not enough data
6.4
26
Not enough data
6.7
29
Functionality
Not enough data
8.1
187
Not enough data
6.4
174
Not enough data
6.7
169
Not enough data
6.1
164
Not enough data
6.4
165
Management
Not enough data
7.2
169
Not enough data
7.5
169
Not enough data
7.9
167
Not enough data
7.4
175
Not enough data
7.5
169
Generative AI
Not enough data
5.2
145
Not enough data
5.3
145
Categories
Categories
Shared Categories
Kensu and Monte Carlo are categorized as Data Observability
Reviews
Reviewers' Company Size
Kensu
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
30.0%
Telecommunications
10.0%
Online Media
10.0%
Government Relations
10.0%
Financial Services
10.0%
Other
30.0%
Financial Services
14.2%
Information Technology and Services
11.1%
Computer Software
10.7%
Marketing and Advertising
3.7%
Manufacturing
3.5%
Other
56.8%
Alternatives
Discussions
Kensu 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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