Try our new research platform with insights from 80,000+ expert users

IBM Databand vs Monte Carlo comparison

 

Categories and Ranking

IBM Databand
Ranking in Data Observability
6th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Monte Carlo
Ranking in Data Observability
1st
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Use IBM Databand?
Share your opinion
PR
Provides centralized data observability features and has an easy-to-use user interface.
The product's initial setup is in a daily improvement stage, deploying new plugins for upstream and downstream resources. It takes 25 minutes to complete. The process involves integrating with third-party services for Single Sign-On (SSO). It requires only one executive for maintenance as it has easy-to-use navigation and user interface.
report
Use our free recommendation engine to learn which Data Observability solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Computer Software Company
21%
Financial Services Firm
10%
Manufacturing Company
8%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What do you like most about Monte Carlo?
It makes organizing work easier based on its relevance to specific projects and teams.
What needs improvement with Monte Carlo?
For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history. This feature needs improvement. Its price could be a ...
 

Comparisons

No data available
 

Learn More

 

Overview