Compare Anomalo and Monte Carlo 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (48.0% of reviews)
Entry-Level Pricing
Contact Us 10000 Tables Per Year
Contact Us
Anomalo
Star Rating
(41)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
Contact Us 10000 Tables Per Year
Learn more about AnomaloMonte Carlo
Star Rating
(356)4.4 out of 5
Market Segments
Mid-Market (48.0% of reviews)
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Monte Carlo excels in data quality monitoring with a score of 8.9, while Anomalo shines in anomaly identification with a higher score of 9.3, indicating that Anomalo may be better suited for users focused on detecting irregularities in their data.
- Reviewers mention that Monte Carlo's real-time analytics capabilities scored 7.4, which may not meet the needs of users requiring immediate insights, whereas Anomalo offers end-to-end visibility at 8.7, providing a more comprehensive view of data flows.
- G2 users highlight that Monte Carlo's quality of support is rated at 9.3, suggesting a strong customer service experience, while Anomalo's support is slightly lower at 9.0, which could impact users who prioritize assistance and guidance.
- Users on G2 report that Monte Carlo has a better ease of setup score of 8.4 compared to Anomalo's impressive 9.4, indicating that Anomalo may be easier to implement for new users.
- Reviewers say that Monte Carlo's alerting feature scored 8.8, which is more effective than Anomalo's 7.9, suggesting that users may prefer Monte Carlo for timely notifications regarding data issues.
- Users report that Anomalo's reporting capabilities are rated higher at 8.7 compared to Monte Carlo's 7.4, indicating that Anomalo may provide more robust reporting tools for users needing detailed insights.
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Pricing
Entry-Level Pricing
Anomalo
Custom
Contact Us
10000 Tables Per Year
Free pilot. Secure In-VPC deployment. Contact us to get started.
- Automated data monitoring
- Simple installation
- Visualizations for reporting and explainability
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
Free Trial
Anomalo
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.2
36
8.3
332
Ease of Use
8.5
36
8.3
338
Ease of Setup
9.4
14
8.3
219
Ease of Admin
8.1
15
8.6
127
Quality of Support
9.0
35
9.1
304
Has the product been a good partner in doing business?
8.9
15
9.5
129
Product Direction (% positive)
8.8
29
9.1
327
Features by Category
Functionality
8.1
7
9.1
219
7.9
7
8.8
218
6.0
5
7.8
200
6.9
6
8.3
208
7.2
6
7.7
203
7.9
7
7.5
205
Data Management
Not enough data
8.5
40
Not enough data
8.5
36
Not enough data
8.8
40
Not enough data
7.8
38
Analytics
Not enough data
7.6
38
Not enough data
7.5
36
Monitoring and Management
Not enough data
9.1
41
Not enough data
7.5
37
Cloud Deployment
Not enough data
7.4
33
Not enough data
6.8
31
Generative AI
Not enough data
6.1
25
Not enough data
5.9
25
Functionality
Not enough data
7.3
229
9.4
6
8.8
250
7.8
6
8.2
236
8.7
5
8.1
236
Management
9.3
7
8.8
246
8.0
5
7.8
225
8.6
6
8.3
240
Not enough data
8.0
241
7.1
7
8.2
244
Generative AI
Feature Not Available
5.9
178
Functionality
8.7
14
8.1
114
Feature Not Available
6.5
111
Feature Not Available
6.7
108
6.9
7
6.1
105
7.8
10
6.4
106
Management
8.7
15
7.4
107
7.8
18
7.4
107
8.5
14
7.9
108
8.6
16
7.6
109
7.4
12
7.6
106
Generative AI
Feature Not Available
5.4
90
Feature Not Available
5.4
89
Categories
Categories
Shared Categories
Anomalo and Monte Carlo are categorized as Data Quality, Data Observability, and Database Monitoring
Reviews
Reviewers' Company Size
Anomalo
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
22.5%
Information Technology and Services
12.5%
Computer Software
12.5%
Leisure, Travel & Tourism
7.5%
Internet
7.5%
Other
37.5%
Financial Services
14.2%
Information Technology and Services
10.2%
Computer Software
9.7%
Online Media
4.0%
Manufacturing
3.7%
Other
58.2%
Most Helpful Reviews
Anomalo
Most Helpful Favorable Review
Verified User in Financial Services
Anomalo has helped us scale our data quality not only through their automated checks but also by letting us put the tool directly in the hands of the business data owners. The pre-baked templates available in the user-defined checks have allowed us to...
Most Helpful Critical Review
Stav H.
Verified User in Marketing and Advertising
Admin page is very not user friendly Many bugs Tables are not immediately updated in the system Team does not respond to feature requests or bug reports UI is bad
Monte Carlo
Most Helpful Favorable Review
Lior S.
Verified User in Computer Software
I enjoy the fact we don't need to proactively set up monitors for each new table or important metric in our data warehouse. Monte Carlo by default tracks all your tables in your data warehouse.
Most Helpful Critical Review
Verified User in Computer & Network Security
Mostly, it hard to find usuful information about triggered rule
Verified User in Financial Services
Anomalo has helped us scale our data quality not only through their automated checks but also by letting us put the tool directly in the hands of the business data owners. The pre-baked templates available in the user-defined checks have allowed us to...
Lior S.
Verified User in Computer Software
I enjoy the fact we don't need to proactively set up monitors for each new table or important metric in our data warehouse. Monte Carlo by default tracks all your tables in your data warehouse.
Stav H.
Verified User in Marketing and Advertising
Admin page is very not user friendly Many bugs Tables are not immediately updated in the system Team does not respond to feature requests or bug reports UI is bad
Verified User in Computer & Network Security
Mostly, it hard to find usuful information about triggered rule
Discussions
Anomalo 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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