Compare IBM Databand and Monte Carlo 
At a Glance
Market Segments
Mid-Market (39.4% of reviews)
Mid-Market (48.0% of reviews)
Entry-Level Pricing
Contact Us 1 GB / Month of Metadata Logged Per Year
Contact Us
IBM Databand
Star Rating
(67)4.4 out of 5
Market Segments
Mid-Market (39.4% of reviews)
Entry-Level Pricing
Contact Us 1 GB / Month of Metadata Logged Per Year
Free Trial is available
Browse all 2 pricing plansMonte 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Databand excels in data quality monitoring with a score of 8.6, while Monte Carlo shines in the same area with a slightly higher score of 8.9, indicating that Monte Carlo may offer more robust features for ensuring data integrity.
- Reviewers mention that IBM Databand provides excellent data observability with a score of 9.3, which is higher than Monte Carlo's score of 8.1, suggesting that Databand may offer better tools for tracking data flow and anomalies.
- G2 users highlight that IBM Databand has a strong quality of support with a score of 8.9, while Monte Carlo outperforms in this area with a score of 9.3, indicating that users may find more responsive and helpful support from Monte Carlo.
- Users on G2 report that IBM Databand's ease of setup is rated at 8.3, which is comparable to Monte Carlo's score of 8.4, suggesting that both products are relatively easy to implement, but Monte Carlo may have a slight edge.
- Reviewers say that IBM Databand offers a better single pane view with a score of 8.3 compared to Monte Carlo's 7.9, indicating that Databand may provide a more comprehensive overview of data management in one interface.
- Users report that while both products have real-time analytics, IBM Databand scores 8.6, significantly higher than Monte Carlo's 7.4, suggesting that Databand may provide more effective tools for real-time data analysis.
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Pricing
Entry-Level Pricing
IBM Databand
Growth
Contact Us
1 GB / Month of Metadata Logged Per Year
- Monitored Pipelines | < 100
- Metadata Logged | Up to 500MB / month
- Alerting | Email. Slack. Pagerduty. Opsgenie
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
Free Trial
IBM Databand
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
8.6
60
8.3
332
Ease of Use
8.6
62
8.3
338
Ease of Setup
8.3
31
8.3
219
Ease of Admin
8.0
23
8.6
127
Quality of Support
8.9
58
9.1
304
Has the product been a good partner in doing business?
8.3
23
9.5
129
Product Direction (% positive)
9.4
58
9.1
327
Features by Category
Data Source Access
8.6
27
Not enough data
8.6
29
Not enough data
8.8
28
Not enough data
Data Interaction
8.3
27
Not enough data
8.5
29
Not enough data
8.4
29
Not enough data
8.8
28
Not enough data
8.7
28
Not enough data
9.0
29
Not enough data
8.6
28
Not enough data
8.6
29
Not enough data
Data Exporting
8.5
27
Not enough data
8.2
28
Not enough data
8.8
29
Not enough data
Generative AI
Feature Not Available
Not enough data
Functionality
Not enough data
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
Data Management
Not enough data
8.5
40
Not enough data
8.5
36
Not enough data
8.8
40
Not enough data
7.8
38
Analytics
Not enough data
7.6
38
Not enough data
7.5
36
Monitoring and Management
Not enough data
9.1
41
Not enough data
7.5
37
Cloud Deployment
Not enough data
7.4
33
Not enough data
6.8
31
Generative AI
Not enough data
6.1
25
Not enough data
5.9
25
Functionality
8.6
46
7.3
229
8.6
45
8.8
250
8.2
45
8.2
236
8.9
46
8.1
236
Management
8.3
45
8.8
246
8.3
42
7.8
225
8.5
44
8.3
240
8.7
42
8.0
241
8.6
44
8.2
244
Generative AI
Feature Not Available
5.9
178
Functionality
Not enough data
8.1
114
Not enough data
6.5
111
Not enough data
6.7
108
Not enough data
6.1
105
Not enough data
6.4
106
Management
Not enough data
7.4
107
Not enough data
7.4
107
Not enough data
7.9
108
Not enough data
7.6
109
Not enough data
7.6
106
Generative AI
Not enough data
5.4
90
Not enough data
5.4
89
Categories
Categories
Shared Categories
IBM Databand and Monte Carlo are categorized as Data Observability
Reviews
Reviewers' Company Size
IBM Databand
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
22.7%
Computer Software
19.7%
Retail
9.1%
Computer & Network Security
7.6%
Financial Services
6.1%
Other
34.8%
Financial Services
14.2%
Information Technology and Services
10.2%
Computer Software
9.7%
Online Media
4.0%
Manufacturing
3.7%
Other
58.2%
Most Helpful Reviews
IBM Databand
Most Helpful Favorable Review
Verified User in Information Technology and Services
One stop solution for data sanity checks. Flawless integration. Exception handling at its very best.
Most Helpful Critical Review
Sambit M.
Verified User in Computer Software
Although Databand AI focuses on advanced technology still UI/UX can be better.
Monte Carlo
Most Helpful Favorable Review
Ethan C.
Verified User in Logistics and Supply Chain
Custom alerts allow users complete flexibility in what they would like to monitor. Their integration with Slack allows us to know when a problem occurs without checking the dashboard constantly. The product team actually listens to feedback and takes...
Most Helpful Critical Review
Verified User in Media Production
Difficult to create more complex monitors
Verified User in Information Technology and Services
One stop solution for data sanity checks. Flawless integration. Exception handling at its very best.
Ethan C.
Verified User in Logistics and Supply Chain
Custom alerts allow users complete flexibility in what they would like to monitor. Their integration with Slack allows us to know when a problem occurs without checking the dashboard constantly. The product team actually listens to feedback and takes...
Sambit M.
Verified User in Computer Software
Although Databand AI focuses on advanced technology still UI/UX can be better.
Verified User in Media Production
Difficult to create more complex monitors
Discussions
IBM Databand 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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