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Compare Ataccama One and Monte Carlo 
Featured Products
At a Glance
Market Segments
Enterprise (40.0% of reviews)
Enterprise (50.7% of reviews)
Entry-Level Pricing
No pricing available
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Ataccama One
Star Rating
(11)4.2 out of 5
Market Segments
Enterprise (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Ataccama OneMonte 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 providing real-time alerts for data quality issues, a feature that has significantly enhanced users' ability to proactively address problems before they escalate. This capability is particularly praised for improving data reliability and stakeholder communication.
- Users say Ataccama One stands out for its customizable interface and user-friendly design, making it easy for teams to adapt the platform to their specific needs. Reviewers appreciate the intuitive UI, which simplifies the process of managing data quality and metadata.
- According to verified reviews, Monte Carlo's focus on data observability is a major advantage, with users highlighting its continuous feature updates that enhance usability. This commitment to improvement helps teams stay ahead of data issues, fostering a more reliable data environment.
- Reviewers mention that Ataccama One provides a unified platform for automated data quality management, which is beneficial for organizations looking to integrate various data management processes. Users have noted its effectiveness in supporting Master Data Management (MDM) initiatives.
- G2 reviewers indicate that while both products offer strong support, Monte Carlo slightly edges out with a higher quality of support rating. Users have expressed satisfaction with the responsiveness and helpfulness of Monte Carlo's support team, which is crucial for resolving issues quickly.
- Users report that Ataccama One has a strong performance in meeting specific workflow requirements, with a notable ability to deliver actionable insights from diverse data inputs. This feature is particularly valued by teams that need reliable outputs from their data processes.
Pricing
Entry-Level Pricing
Ataccama One
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
Ataccama One
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.7
9
8.3
437
Ease of Use
8.5
8
8.2
444
Ease of Setup
Not enough data
8.2
308
Ease of Admin
Not enough data
8.5
159
Quality of Support
8.8
8
9.0
391
Has the product been a good partner in doing business?
Not enough data
9.3
162
Product Direction (% positive)
8.7
9
8.9
433
Features by Category
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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
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
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
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
Not enough data
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
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
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
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
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
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
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
7.4
291
Not enough data
8.8
323
Not enough data
8.1
294
Not enough data
8.0
300
Management
Not enough data
8.7
319
Not enough data
7.7
287
Not enough data
8.3
311
Not enough data
8.0
305
Not enough data
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
Ataccama One and Monte Carlo are categorized as Data Quality
Unique Categories
Ataccama One is categorized as Data Governance, Machine Learning Data Catalog, Big Data Integration Platforms, Master Data Management (MDM), and Active Metadata Management
Reviews
Reviewers' Company Size
Ataccama One
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
20.0%
Airlines/Aviation
20.0%
Plastics
10.0%
Music
10.0%
Mining & Metals
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%
Discussions
Ataccama One 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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