Compare Informatica Cloud Data Quality and Monte Carlo 
At a Glance
Market Segments
Enterprise (83.3% of reviews)
Enterprise (50.9% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Informatica Cloud Data Quality
Star Rating
(20)4.1 out of 5
Market Segments
Enterprise (83.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Informatica Cloud Data QualityMonte Carlo
Star Rating
(487)4.3 out of 5
Market Segments
Enterprise (50.9% 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 user satisfaction, boasting a significantly higher overall score compared to Informatica Cloud Data Quality. This is reflected in the positive feedback regarding its real-time alerts, which have greatly enhanced users' awareness of data quality issues.
- Users say that Informatica Cloud Data Quality offers robust integration capabilities, allowing seamless communication between various tools. Reviewers appreciate the out-of-the-box content for cleansing rules and the centralized location for building data rules, which simplifies updates as business needs evolve.
- According to verified reviews, Monte Carlo's focus on data monitoring and observability has made it a favorite among users, with many highlighting its continuous feature updates that enhance usability. This proactive approach to data reliability helps teams address issues before they impact stakeholders.
- Reviewers mention that while Informatica Cloud Data Quality has a strong support system, with high ratings for quality of support, it faces challenges in attracting recent user feedback, as it has not received any reviews in the last 90 days, unlike Monte Carlo, which has garnered 30 recent reviews.
- Users highlight that Informatica's ease of setup and administration is a strong point, with many finding the onboarding process intuitive. This contrasts with Monte Carlo, where some users feel that while it is user-friendly, it could benefit from further simplification in certain areas.
- G2 reviewers note that while both products meet user requirements effectively, Informatica Cloud Data Quality has a slight edge in this area, with users appreciating its ability to handle complex data scenarios and manual data entry corrections, which are crucial for maintaining data integrity.
Pricing
Entry-Level Pricing
Informatica Cloud Data Quality
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
Informatica Cloud Data Quality
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
9.0
14
8.3
445
Ease of Use
8.6
14
8.2
452
Ease of Setup
8.7
9
8.1
317
Ease of Admin
8.3
9
8.5
161
Quality of Support
9.2
12
9.0
399
Has the product been a good partner in doing business?
9.1
9
9.2
164
Product Direction (% positive)
8.2
13
8.9
442
Features by Category
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough 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
Compliance
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Quality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Maintainence
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Feature Not Available
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Development
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
Not enough data
Not enough 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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
8.6
52
Not enough data
8.5
48
Not enough data
8.6
52
Not enough data
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
Not enough data
7.9
51
Not enough data
7.7
48
Monitoring and Management
Not enough data
9.2
56
Not enough data
7.7
49
Cloud Deployment
Not enough data
7.5
44
Not enough data
7.1
42
Generative AI
Not enough data
6.3
35
Not enough data
6.2
35
Functionality
Not enough data
7.4
292
Not enough data
8.8
328
Not enough data
8.1
296
Not enough data
8.0
304
Management
Not enough data
8.7
326
Not enough data
7.7
286
Not enough data
8.3
317
Not enough data
8.0
308
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
6.4
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
168
Not enough data
7.4
176
Not enough data
7.5
169
Generative AI
Not enough data
5.2
145
Feature Not Available
5.3
145
Categories
Categories
Shared Categories
Informatica Cloud Data Quality and Monte Carlo are categorized as Data Quality
Unique Categories
Reviews
Reviewers' Company Size
Informatica Cloud Data Quality
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
31.6%
Insurance
15.8%
Financial Services
10.5%
Computer Software
10.5%
Internet
5.3%
Other
26.3%
Financial Services
13.9%
Computer Software
11.3%
Information Technology and Services
11.1%
Marketing and Advertising
3.6%
Manufacturing
3.4%
Other
56.5%
Discussions
Informatica Cloud Data Quality 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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