2026 Best Software Awards are here!See the list
Compare Monte Carlo and Telmai 
At a Glance
Market Segments
Enterprise (50.5% of reviews)
Enterprise (54.5% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Monte Carlo
Star Rating
(487)4.3 out of 5
Market Segments
Enterprise (50.5% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansTelmai
Star Rating
(22)4.9 out of 5
Market Segments
Enterprise (54.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about TelmaiSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Monte Carlo excels in providing real-time alerts for data quality issues, which has significantly enhanced users' ability to proactively address problems before they escalate. This feature has been highlighted as a game-changer for teams looking to maintain data reliability.
- Users say that Telmai stands out for its simplicity and ease of implementation, allowing teams to quickly track data quality without complicated setups. Reviewers appreciate how it automates checks and provides clear alerts, saving valuable time in the data monitoring process.
- According to verified reviews, Monte Carlo's focus on data observability is evident, with users noting its continuous feature updates that make the tool more intuitive and user-friendly. This commitment to improvement has garnered a loyal user base that values its specialized capabilities.
- Reviewers mention that while Telmai offers a solid end-to-end data observability solution, it may not match the depth of monitoring features found in Monte Carlo. Users have pointed out that Telmai's approach is effective for quick spotting of issues, but they sometimes miss the more comprehensive insights provided by Monte Carlo.
- G2 reviewers highlight that Monte Carlo has a higher overall satisfaction score, reflecting its strong market presence and user trust. With a significant number of recent reviews, users feel confident in its ability to deliver reliable data quality monitoring.
- Users express that both products provide quality support, but Telmai edges out slightly in this area, with reviewers praising its customer service responsiveness. However, Monte Carlo's proactive alerting system is seen as a critical advantage that enhances user experience despite the slight difference in support ratings.
Pricing
Entry-Level Pricing
Monte 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
Telmai
No pricing availableFree Trial
Monte Carlo
No trial information availableTelmai
No trial information availableRatings
Meets Requirements
8.3
447
8.9
18
Ease of Use
8.2
454
9.4
19
Ease of Setup
8.2
319
9.1
11
Ease of Admin
8.5
161
8.8
7
Quality of Support
9.0
401
9.2
17
Has the product been a good partner in doing business?
9.2
164
9.3
7
Product Direction (% positive)
8.9
444
10.0
20
Features by Category
Functionality
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
Not enough data
Agentic AI - Database Monitoring
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
Not enough data
Data Management
8.6
52
Not enough data
8.5
48
Not enough data
8.6
52
Not enough data
7.9
50
Not enough data
Agentic AI - DataOps Platforms
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
Not enough data
Analytics
7.9
51
Not enough data
7.7
48
Not enough data
Monitoring and Management
9.2
56
Not enough data
7.7
49
Not enough data
Cloud Deployment
7.5
44
Not enough data
7.1
42
Not enough data
Generative AI
6.3
35
Not enough data
6.2
35
Not enough data
Functionality
7.4
292
8.3
12
8.8
330
9.6
15
8.1
297
9.0
12
8.0
305
9.3
14
Management
8.7
327
9.2
14
7.7
286
8.9
11
8.3
319
9.2
12
8.0
310
8.1
9
8.1
313
9.0
14
Generative AI
5.8
232
Not enough data
Agentic AI - Data Observability
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
Not enough data
Functionality
8.1
189
9.1
11
6.5
175
7.7
10
6.7
169
7.1
8
6.1
164
7.7
10
6.5
166
8.5
10
Management
7.2
169
8.2
11
7.5
169
8.8
11
8.0
169
9.2
10
7.4
176
8.6
11
7.5
169
7.5
8
Generative AI
5.2
145
Not enough data
5.3
145
Not enough data
Categories
Categories
Shared Categories
Monte Carlo and Telmai are categorized as Data Observability and Data Quality
Unique Categories
Monte Carlo is categorized as DataOps Platforms and Database Monitoring
Telmai has no unique categories
Reviews
Reviewers' Company Size
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Telmai
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
13.9%
Information Technology and Services
11.5%
Computer Software
11.3%
Marketing and Advertising
3.6%
Manufacturing
3.4%
Other
56.3%
Computer Software
40.9%
Information Technology and Services
13.6%
Retail
9.1%
Marketing and Advertising
9.1%
Renewables & Environment
4.5%
Other
22.7%
Discussions
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
Telmai has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
