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Compare Acceldata and Monte Carlo

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At a Glance
Acceldata
Acceldata
Star Rating
(51)4.4 out of 5
Market Segments
Enterprise (60.0% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Acceldata
Monte Carlo
Monte Carlo
Star Rating
(462)4.4 out of 5
Market Segments
Enterprise (51.2% of reviews)
Information
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plans
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Acceldata excels in data quality monitoring with a score of 8.0, while Monte Carlo shines in this area with a higher score of 8.9, indicating that Monte Carlo may provide more robust features for ensuring data integrity.
  • Reviewers mention that Acceldata's monitoring capabilities score 8.0, which is lower than Monte Carlo's impressive 9.1, suggesting that users may find Monte Carlo's monitoring features more comprehensive and effective for real-time data oversight.
  • G2 users highlight that Acceldata's ease of use is rated at 8.6, slightly better than Monte Carlo's 8.4, indicating that while both products are user-friendly, Acceldata may offer a more intuitive experience for new users.
  • Users on G2 report that Acceldata has a strong performance in anomaly identification with a score of 8.3, while Monte Carlo scores slightly higher at 8.8, suggesting that Monte Carlo may provide more advanced features for detecting data anomalies.
  • Reviewers mention that Acceldata's automated workflows score 7.6, which is lower than Monte Carlo's 7.9, indicating that users may find Monte Carlo's automation features to be more effective in streamlining their data processes.
  • Users say that Acceldata's reporting capabilities score 6.9, which is notably lower than Monte Carlo's 7.4, suggesting that users may prefer Monte Carlo for more effective and insightful reporting features.
Pricing
Entry-Level Pricing
Acceldata
No pricing available
Monte Carlo
Start
Contact Us
Browse all 3 pricing plans
Free Trial
Acceldata
Free Trial is available
Monte Carlo
No trial information available
Ratings
Meets Requirements
8.7
49
8.3
430
Ease of Use
8.4
50
8.2
437
Ease of Setup
8.0
42
8.2
303
Ease of Admin
8.5
27
8.5
160
Quality of Support
8.9
47
9.0
386
Has the product been a good partner in doing business?
8.9
24
9.3
163
Product Direction (% positive)
8.8
50
8.9
426
Features by Category
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
8.2
15
7.5
260
Functionality
8.3
14
9.0
257
8.2
14
8.8
258
8.2
13
7.8
235
8.5
13
8.3
244
7.9
13
7.7
239
8.3
13
7.4
241
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
8.3
14
7.3
53
Data Management
8.6
12
8.5
49
8.1
12
8.5
45
8.8
12
8.6
49
7.5
12
7.9
47
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
8.7
10
7.8
48
8.8
11
7.7
46
Monitoring and Management
9.5
10
9.2
53
7.6
9
7.6
46
Cloud Deployment
8.3
8
7.4
42
7.3
8
7.0
40
Generative AI
Not enough data
6.2
33
Not enough data
6.1
33
8.0
32
7.4
335
Functionality
8.2
29
7.3
287
8.2
28
8.8
318
8.1
29
8.1
291
8.4
30
8.0
295
Management
8.5
26
8.7
313
8.1
25
7.8
284
8.3
25
8.3
307
7.6
24
8.0
301
8.2
27
8.1
307
Generative AI
6.7
17
5.8
227
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
8.0
11
6.9
190
Functionality
8.9
11
8.1
184
7.5
10
6.4
171
7.8
10
6.6
166
7.3
11
6.0
161
8.7
9
6.4
162
Management
6.7
11
7.2
167
8.7
10
7.5
167
9.0
10
7.9
165
7.4
11
7.4
172
8.3
10
7.5
167
Generative AI
7.5
8
5.2
142
6.9
8
5.3
142
Categories
Categories
Shared Categories
Acceldata
Acceldata
Monte Carlo
Monte Carlo
Acceldata and Monte Carlo are categorized as DataOps Platforms, Database Monitoring, Data Quality, and Data Observability
Unique Categories
Acceldata
Acceldata is categorized as Data Governance
Monte Carlo
Monte Carlo has no unique categories
Reviews
Reviewers' Company Size
Acceldata
Acceldata
Small-Business(50 or fewer emp.)
18.0%
Mid-Market(51-1000 emp.)
22.0%
Enterprise(> 1000 emp.)
60.0%
Monte Carlo
Monte Carlo
Small-Business(50 or fewer emp.)
3.5%
Mid-Market(51-1000 emp.)
45.2%
Enterprise(> 1000 emp.)
51.2%
Reviewers' Industry
Acceldata
Acceldata
Information Technology and Services
18.0%
Computer Software
18.0%
Telecommunications
14.0%
Marketing and Advertising
10.0%
Food & Beverages
8.0%
Other
32.0%
Monte Carlo
Monte Carlo
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%
Alternatives
Acceldata
Acceldata Alternatives
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Monte Carlo
Monte Carlo Alternatives
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Discussions
Acceldata
Acceldata Discussions
Monty the Mongoose crying
Acceldata has no discussions with answers
Monte Carlo
Monte Carlo Discussions
What is Monte Carlo software?
1 Comment
Molly V.
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
Monty the Mongoose crying
Monte Carlo has no more discussions with answers