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Compare Monte Carlo and Soda 
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At a Glance
Market Segments
Enterprise (51.1% of reviews)
Mid-Market (43.6% of reviews)
Entry-Level Pricing
Contact Us
$0.00 3 Production Datasets Per Month
Monte Carlo
Star Rating
(461)4.4 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSoda
Star Rating
(55)4.4 out of 5
Market Segments
Mid-Market (43.6% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00 3 Production Datasets Per Month
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 Soda shines in real-time analytics, scoring 8.0. Reviewers mention that Monte Carlo's robust data quality features help ensure accurate insights, which is crucial for data-driven decision-making.
- Reviewers mention that Monte Carlo's quality of support is rated highly at 9.3, compared to Soda's 8.7. Users on G2 appreciate the responsive customer service and the helpful resources provided by Monte Carlo, making it easier to resolve issues quickly.
- Users say that Monte Carlo offers superior anomaly identification capabilities with a score of 8.8, while Soda follows closely with 8.6. Reviewers highlight that Monte Carlo's anomaly detection features are particularly effective in identifying data issues before they escalate.
- G2 users report that Soda has a better score in correction functionality at 8.3 compared to Monte Carlo's 6.2. Users mention that Soda's correction features allow for more efficient data rectification processes, which is essential for maintaining data integrity.
- Reviewers mention that Monte Carlo provides a comprehensive single pane view with a score of 7.9, while Soda offers a slightly better score of 8.3. Users appreciate Soda's dashboard for its intuitive layout, which simplifies monitoring and management tasks.
- Users on G2 report that Monte Carlo's automated workflows score 7.9, while Soda's automation capabilities are rated higher at 8.6. Reviewers say that Soda's automation features streamline repetitive tasks, enhancing overall productivity for teams.
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
Soda
Free
$0.00
3 Production Datasets Per Month
Great for small projects
- Pipeline testing
- Metrics observability
- Alerting & ticketing integrations
Free Trial
Monte Carlo
No trial information availableSoda
Free Trial is available
Ratings
Meets Requirements
8.3
429
8.7
49
Ease of Use
8.2
436
8.5
50
Ease of Setup
8.2
302
8.4
29
Ease of Admin
8.5
159
8.6
22
Quality of Support
9.0
385
8.7
49
Has the product been a good partner in doing business?
9.3
162
8.9
22
Product Direction (% positive)
8.9
425
9.0
49
Features by Category
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
Not enough data
8.5
45
Not enough data
8.6
49
Not enough data
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
Not enough data
7.7
46
Not enough data
Monitoring and Management
9.2
53
Not enough data
7.6
46
Not enough data
Cloud Deployment
7.4
42
Not enough data
7.0
40
Not enough data
Generative AI
6.2
33
Not enough data
6.1
33
Not enough data
Functionality
7.3
287
8.0
22
8.8
317
9.2
24
8.1
291
8.1
24
8.0
295
8.8
24
Management
8.7
313
8.6
24
7.8
283
8.3
20
8.3
306
8.6
23
8.0
301
7.5
21
8.1
306
8.5
24
Generative AI
5.8
227
6.1
14
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
8.7
42
6.4
171
Feature Not Available
6.6
166
8.0
41
6.0
161
Feature Not Available
6.4
162
7.9
43
Management
7.2
167
7.7
33
7.5
167
Feature Not Available
7.9
165
8.5
42
7.4
172
7.7
42
7.5
167
8.2
38
Generative AI
5.2
142
5.9
25
5.3
142
6.3
25
Categories
Categories
Shared Categories
Monte Carlo and Soda are categorized as Data Observability and Data Quality
Unique Categories
Monte Carlo is categorized as DataOps Platforms and Database Monitoring
Soda has no unique categories
Reviews
Reviewers' Company Size
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Soda
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
10.7%
Marketing and Advertising
3.8%
Manufacturing
3.6%
Other
56.9%
Information Technology and Services
21.8%
Computer Software
18.2%
Consulting
16.4%
Financial Services
9.1%
Retail
3.6%
Other
30.9%
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
Soda has no discussions with answers
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