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Compare IBM Databand and Monte Carlo 
At a Glance
Market Segments
Mid-Market (39.4% of reviews)
Enterprise (50.0% 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
Browse all 2 pricing plansMonte Carlo
Star Rating
(406)4.4 out of 5
Market Segments
Enterprise (50.0% 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 significantly higher than Monte Carlo's score of 8.1, suggesting that users may find IBM Databand more effective for tracking data flow and anomalies.
- G2 users highlight that IBM Databand's self-service capabilities score an impressive 8.9, making it easier for users to manage their data without heavy reliance on IT, whereas Monte Carlo's self-service features are less emphasized.
- Users on G2 report that IBM Databand's real-time alerts feature scores 8.6, providing timely notifications, while Monte Carlo's score of 8.3 indicates it may not be as responsive, which could impact users needing immediate insights.
- Reviewers say that IBM Databand's ease of setup is rated at 8.3, which is slightly lower than Monte Carlo's 8.4, suggesting that users may find Monte Carlo a bit easier to implement initially.
- Users report that the quality of support for Monte Carlo is rated at 9.3, which is higher than IBM Databand's score of 8.9, indicating that users may experience better assistance and resources when using Monte Carlo.
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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
381
Ease of Use
8.6
62
8.2
388
Ease of Setup
8.3
31
8.3
254
Ease of Admin
8.0
23
8.6
142
Quality of Support
8.9
58
9.0
341
Has the product been a good partner in doing business?
8.3
23
9.4
143
Product Direction (% positive)
9.4
58
8.9
377
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
8.5
8
Not enough data
Functionality
Not enough data
9.0
246
Not enough data
8.8
245
Not enough data
7.8
225
Not enough data
8.3
233
Not enough data
7.7
229
Not enough data
7.5
230
Agentic AI - Database Monitoring
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
Not enough data
Not enough data
Data Management
Not enough data
8.6
46
Not enough data
8.6
42
Not enough data
8.7
46
Not enough data
7.9
44
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
7.8
44
Not enough data
7.7
42
Monitoring and Management
Not enough data
9.2
47
Not enough data
7.7
43
Cloud Deployment
Not enough data
7.5
38
Not enough data
7.0
36
Generative AI
Not enough data
6.3
29
Not enough data
6.1
29
Functionality
8.6
46
7.3
259
8.6
45
8.8
282
8.2
45
8.1
265
8.9
46
8.1
268
Management
8.3
45
8.7
278
8.3
42
7.8
256
8.5
44
8.2
270
8.7
42
8.0
273
8.6
44
8.2
275
Generative AI
7.3
11
5.9
204
Agentic AI - Data Observability
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
Functionality
Not enough data
8.1
153
Not enough data
6.4
148
Not enough data
6.7
143
Not enough data
6.0
138
Not enough data
6.4
139
Management
Not enough data
7.2
141
Not enough data
7.5
142
Not enough data
7.9
141
Not enough data
7.4
146
Not enough data
7.5
141
Generative AI
Not enough data
5.3
121
Not enough data
5.3
120
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
13.7%
Information Technology and Services
11.4%
Computer Software
11.2%
Pharmaceuticals
3.7%
Online Media
3.5%
Other
56.5%
Most Helpful Reviews
IBM Databand
Most Helpful Favorable Review
Aman V.
Verified User in Hospital & Health Care
Ability to provide monitoring solution for Data , usecases such as anamoly and pipeline monitoring using mix of spark and snowflake which is really good to have.
Most Helpful Critical Review
Verified User in Online Media
The pricing segment could be a bit better and also the latency.
Monte Carlo
Most Helpful Favorable Review
Brenda D.
Verified User in Retail
MonteCarlo has helped us achieve Observability for our pipelines, and it has made debugging/identifying root causes for incidents a lot easier. Lineage tracking for upstream/downstream dependencies as well as Freshness SLIs Monitors are extremely useful....
Most Helpful Critical Review
Verified User in Program Development
We see some limitations still to add all the filters
Aman V.
Verified User in Hospital & Health Care
Ability to provide monitoring solution for Data , usecases such as anamoly and pipeline monitoring using mix of spark and snowflake which is really good to have.
Brenda D.
Verified User in Retail
MonteCarlo has helped us achieve Observability for our pipelines, and it has made debugging/identifying root causes for incidents a lot easier. Lineage tracking for upstream/downstream dependencies as well as Freshness SLIs Monitors are extremely useful....
Verified User in Online Media
The pricing segment could be a bit better and also the latency.
Verified User in Program Development
We see some limitations still to add all the filters
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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