Compare Monte Carlo and Soda 
At a Glance
Market Segments
Mid-Market (48.0% of reviews)
Mid-Market (43.6% of reviews)
Entry-Level Pricing
Contact Us
Free Trial
Monte Carlo
Star Rating
(356)4.4 out of 5
Market Segments
Mid-Market (48.0% of reviews)
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)
Entry-Level Pricing
Free Trial
Free Trial is available
Learn more about SodaSummary
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 say that Monte Carlo's quality of support is rated at 9.3, significantly higher than Soda's 8.7. Users on G2 highlight that Monte Carlo's support team is responsive and knowledgeable, making it easier to resolve issues quickly.
- Users say that Monte Carlo offers superior monitoring capabilities with a score of 9.1, compared to Soda's lack of a specific score in this area. Reviewers mention that the monitoring features in Monte Carlo provide comprehensive visibility into data pipelines, which is essential for proactive management.
- G2 users report that Soda has a better score in data normalization (8.0) and correction (8.3) compared to Monte Carlo's lower scores of 6.4 and 6.2, respectively. Users mention that Soda's normalization features help streamline data processes effectively.
- Reviewers mention that both products have similar ease of setup scores (8.4), but users on G2 report that Soda's user interface is more intuitive, making it easier for new users to get started quickly.
- Users 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 help reduce manual tasks, allowing teams to focus on more strategic initiatives.
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Pricing
Entry-Level Pricing
Monte Carlo
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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
Soda Data Quality Testing & Observability Platform
Free Trial
Soda provides data teams with a scalable, easy way to test and observe data quality. For 45 days, you’ll have full access to Soda – including Soda AI, the generative AI for data quality empowering coders and non-coders alike. Now is the perfect opportunity to ensure your critical business data is tested and trustworthy.
You’ll be able to run checks on the data critical to your business and collaborate with your team to analyze and resolve data quality issues.
We’ve designed an experience that will give you a taste of how Soda empowers data teams to test and deliver data that everyone can trust. We think it’s awesome and we hope you will too!
- Soda AI, the generative AI for data quality translating natural language into production-ready data quality checks.
- SodaCL, a human-readable and -writable language to test and monitor data as-code in CI/CD and data pipelines.
- Soda Library, the Python library and CLI tool for data quality testing with built-in checks and automated suggestions.
Free Trial
Monte Carlo
No trial information availableSoda
Free Trial is available
Ratings
Meets Requirements
8.3
332
8.7
49
Ease of Use
8.3
338
8.5
50
Ease of Setup
8.3
219
8.4
29
Ease of Admin
8.6
127
8.6
22
Quality of Support
9.1
304
8.7
49
Has the product been a good partner in doing business?
9.5
129
8.9
22
Product Direction (% positive)
9.1
327
9.0
49
Features by Category
Functionality
9.1
219
Not enough data
8.8
218
Not enough data
7.8
200
Not enough data
8.3
208
Not enough data
7.7
203
Not enough data
7.5
205
Not enough data
Data Management
8.5
40
Not enough data
8.5
36
Not enough data
8.8
40
Not enough data
7.8
38
Not enough data
Analytics
7.6
38
Not enough data
7.5
36
Not enough data
Monitoring and Management
9.1
41
Not enough data
7.5
37
Not enough data
Cloud Deployment
7.4
33
Not enough data
6.8
31
Not enough data
Generative AI
6.1
25
Not enough data
5.9
25
Not enough data
Functionality
7.3
229
8.0
22
8.8
250
9.2
24
8.2
236
8.1
24
8.1
236
8.8
24
Management
8.8
246
8.6
24
7.8
225
8.3
20
8.3
240
8.6
23
8.0
241
7.5
21
8.2
244
8.5
24
Generative AI
5.9
178
6.1
14
Functionality
8.1
114
8.7
42
6.5
111
Feature Not Available
6.7
108
8.0
41
6.1
105
Feature Not Available
6.4
106
7.9
43
Management
7.4
107
7.7
33
7.4
107
Feature Not Available
7.9
108
8.5
42
7.6
109
7.7
42
7.6
106
8.2
38
Generative AI
5.4
90
5.9
25
5.4
89
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
10.2%
Computer Software
9.7%
Online Media
4.0%
Manufacturing
3.7%
Other
58.2%
Information Technology and Services
21.8%
Computer Software
18.2%
Consulting
16.4%
Financial Services
9.1%
Retail
3.6%
Other
30.9%
Most Helpful Reviews
Monte Carlo
Most Helpful Favorable Review
Lior S.
Verified User in Computer Software
I enjoy the fact we don't need to proactively set up monitors for each new table or important metric in our data warehouse. Monte Carlo by default tracks all your tables in your data warehouse.
Most Helpful Critical Review
Verified User in Computer & Network Security
Mostly, it hard to find usuful information about triggered rule
Soda
Most Helpful Favorable Review
Verified User in Consulting
Easiness of integration Ease of use Fast switch to soda cloud Data contract lots of data quality checks Lots of Soda Cloud features
Most Helpful Critical Review
Mihai S.
Verified User in Internet
It is hard to integrate soda-core with dagster. Both, especially so Dagster changed a lot during the last year and finding up to date documentation is difficult. As integration is the first step I suggest creating more complete integration samples for...
Lior S.
Verified User in Computer Software
I enjoy the fact we don't need to proactively set up monitors for each new table or important metric in our data warehouse. Monte Carlo by default tracks all your tables in your data warehouse.
Verified User in Consulting
Easiness of integration Ease of use Fast switch to soda cloud Data contract lots of data quality checks Lots of Soda Cloud features
Verified User in Computer & Network Security
Mostly, it hard to find usuful information about triggered rule
Mihai S.
Verified User in Internet
It is hard to integrate soda-core with dagster. Both, especially so Dagster changed a lot during the last year and finding up to date documentation is difficult. As integration is the first step I suggest creating more complete integration samples for...
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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