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Compare Astro by Astronomer and Monte Carlo 
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At a Glance
Market Segments
Mid-Market (48.1% of reviews)
Enterprise (50.8% of reviews)
Entry-Level Pricing
No pricing available
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Astro by Astronomer
Star Rating
(136)4.5 out of 5
Market Segments
Mid-Market (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Astro by AstronomerMonte Carlo
Star Rating
(469)4.4 out of 5
Market Segments
Enterprise (50.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansAstro by Astronomer vs Monte Carlo
When assessing the two solutions, reviewers found Astro by Astronomer easier to use, set up, and administer. However, reviewers preferred doing business with Monte Carlo overall.
- Reviewers felt that Astro by Astronomer meets the needs of their business better than Monte Carlo.
- When comparing quality of ongoing product support, reviewers felt that Monte Carlo is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Astro by Astronomer over Monte Carlo.
Pricing
Entry-Level Pricing
Astro by Astronomer
No pricing availableMonte Carlo
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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
Astro by Astronomer
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.9
106
8.3
436
Ease of Use
9.0
109
8.2
443
Ease of Setup
8.7
73
8.2
308
Ease of Admin
8.8
57
8.5
160
Quality of Support
8.9
98
9.0
390
Has the product been a good partner in doing business?
9.0
57
9.3
163
Product Direction (% positive)
9.0
103
8.9
432
Features by Category
Automation
9.0
70
Not enough data
8.9
70
Not enough data
7.9
54
Not enough data
Administration
8.4
66
Not enough data
8.8
67
Not enough data
8.2
64
Not enough data
8.1
60
Not enough data
8.2
64
Not enough data
8.5
62
Not enough data
Functionality
9.0
66
Not enough data
8.5
65
Not enough data
8.5
65
Not enough data
Agentic AI - Workload Automation
7.3
17
Not enough data
7.5
17
Not enough data
7.7
17
Not enough data
7.6
17
Not enough data
6.9
17
Not enough data
6.9
17
Not enough data
6.9
17
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
Data Management
8.5
17
Not enough data
7.5
14
Not enough data
8.1
16
Not enough data
7.6
15
Not enough data
Analytics
7.3
15
Not enough data
Security
7.7
14
Not enough data
8.0
14
Not enough data
8.0
14
Not enough data
Generative AI
5.0
11
Not enough data
5.3
11
Not enough data
Agentic AI - Data Fabric
6.5
9
Not enough data
6.5
10
Not enough data
6.5
10
Not enough data
6.0
10
Not enough data
6.2
10
Not enough data
Data Management
8.5
35
8.5
51
8.2
33
8.4
47
8.5
34
8.6
51
8.6
36
7.9
49
Agentic AI - DataOps Platforms
6.2
11
7.2
6
5.9
11
6.0
5
6.8
11
6.3
5
6.2
11
6.3
5
5.8
11
6.3
5
Analytics
7.5
34
7.8
50
7.3
34
7.7
47
Monitoring and Management
8.2
34
9.2
55
8.0
33
7.6
48
Cloud Deployment
8.7
32
7.4
43
8.4
31
7.0
41
Generative AI
6.7
21
6.2
34
6.7
22
6.1
34
Functionality
8.3
11
7.4
291
7.4
11
8.8
323
8.1
9
8.1
294
7.8
10
8.0
299
Management
7.7
10
8.7
318
7.6
9
7.7
287
8.2
10
8.3
311
7.3
10
8.0
305
7.5
10
8.1
312
Generative AI
5.7
9
5.8
231
Agentic AI - Data Observability
6.1
9
6.1
27
6.5
8
6.2
27
7.6
9
6.7
27
6.7
8
6.4
26
7.7
8
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
Astro by Astronomer and Monte Carlo are categorized as DataOps Platforms and Data Observability
Unique Categories
Astro by Astronomer is categorized as Data Fabric, Workload Automation, and Big Data Integration Platforms
Monte Carlo is categorized as Database Monitoring and Data Quality
Reviews
Reviewers' Company Size
Astro by Astronomer
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
15.8%
Financial Services
12.8%
Computer Software
11.3%
Online Media
6.0%
Retail
5.3%
Other
48.9%
Financial Services
14.2%
Information Technology and Services
11.2%
Computer Software
10.7%
Marketing and Advertising
3.7%
Manufacturing
3.5%
Other
56.7%
Alternatives
Discussions
Astro by Astronomer 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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