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Compare Monte Carlo and Validio 
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At a Glance
Market Segments
Enterprise (51.2% of reviews)
Mid-Market (58.8% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Monte Carlo
Star Rating
(462)4.4 out of 5
Market Segments
Enterprise (51.2% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansValidio
Star Rating
(17)5.0 out of 5
Market Segments
Mid-Market (58.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about ValidioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Monte Carlo excels in data quality management with a perfect score of 10.0, while Validio also performs well but slightly lower at 9.8. Reviewers mention that Monte Carlo's robust data quality features ensure high accuracy and reliability in data processing.
- Reviewers mention that Validio shines in real-time analytics, scoring 9.8 compared to Monte Carlo's 7.4. Users on G2 appreciate Validio's ability to provide immediate insights, which enhances decision-making processes.
- Users say that Validio offers superior automation features, scoring 9.4 against Monte Carlo's 8.2. Reviewers highlight that Validio's automated workflows significantly reduce manual effort, making data management more efficient.
- G2 users report that Validio's data lineage capabilities are highly rated at 9.6, while Monte Carlo's score is lower at 8.1. Reviewers mention that Validio's clear data lineage tracking helps in understanding data flow and compliance better.
- Users on G2 highlight that Monte Carlo has a strong quality of support with a score of 9.3, but Validio surpasses it with a perfect score of 10.0. Reviewers say that Validio's customer support is responsive and knowledgeable, which enhances the user experience.
- Reviewers mention that Validio's dashboard visualizations score 9.6, while Monte Carlo's score is lower at 7.7. Users report that Validio's intuitive dashboards make it easier to visualize data trends and insights effectively.
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
Validio
No pricing availableFree Trial
Monte Carlo
No trial information availableValidio
Free Trial is available
Ratings
Meets Requirements
8.3
430
9.4
17
Ease of Use
8.2
437
9.6
17
Ease of Setup
8.2
303
9.9
13
Ease of Admin
8.5
160
9.7
5
Quality of Support
9.0
386
9.9
17
Has the product been a good partner in doing business?
9.3
163
9.3
5
Product Direction (% positive)
8.9
426
10.0
17
Features by Category
Data Governance
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Not enough data
Feature Not Available
Not enough data
9.8
7
Not enough data
9.7
6
Not enough data
9.6
8
Management
Not enough data
9.5
7
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.6
8
Not enough data
9.5
7
Compliance
Not enough data
9.2
6
Not enough data
Feature Not Available
Not enough data
9.7
5
Not enough data
9.3
5
Security
Not enough data
9.8
7
Not enough data
9.4
6
Not enough data
9.8
7
Data Quality
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Maintainence
Not enough data
9.8
8
Not enough data
9.3
5
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
9.0
257
Not enough data
8.8
258
Not enough data
7.8
235
Not enough data
8.3
244
Not enough data
7.7
239
Not enough data
7.4
241
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
8.5
49
Feature Not Available
8.5
45
9.7
5
8.6
49
9.7
5
7.9
47
Not enough data
Agentic AI - DataOps Platforms
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
Not enough data
Analytics
7.8
48
9.7
5
7.7
46
9.3
5
Monitoring and Management
9.2
53
10.0
5
7.6
46
9.7
5
Cloud Deployment
7.4
42
Not enough data
7.0
40
Feature Not Available
Generative AI
6.2
33
Feature Not Available
6.1
33
Feature Not Available
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
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Functionality
7.3
287
9.7
10
8.8
318
9.8
10
8.1
291
9.5
11
8.0
295
9.7
11
Management
8.7
313
10.0
10
7.8
284
9.4
9
8.3
307
10.0
10
8.0
301
9.5
10
8.1
307
9.4
11
Generative AI
5.8
227
Feature Not Available
Agentic AI - Data Observability
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
Not enough data
Functionality
8.1
184
9.9
13
6.4
171
9.7
10
6.6
166
9.4
9
6.0
161
9.8
10
6.4
162
9.7
10
Management
7.2
167
9.6
12
7.5
167
9.6
13
7.9
165
9.7
11
7.4
172
9.5
11
7.5
167
9.7
10
Generative AI
5.2
142
Feature Not Available
5.3
142
Feature Not Available
Categories
Categories
Shared Categories
Monte Carlo and Validio are categorized as DataOps Platforms, Data Observability, and Data Quality
Unique Categories
Monte Carlo is categorized as Database Monitoring
Validio is categorized as Active Metadata Management, Data Governance, and Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Validio
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
14.2%
Information Technology and Services
10.9%
Computer Software
10.6%
Marketing and Advertising
3.8%
Manufacturing
3.5%
Other
57.0%
Computer Software
29.4%
Information Technology and Services
11.8%
Financial Services
11.8%
Consulting
5.9%
Utilities
5.9%
Other
35.3%
Alternatives
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
Validio has no discussions with answers
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