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Monte Carlo vs ServiceNow Cloud Observability comparison

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Monte Carlo
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
Data Observability (1st)
ServiceNow Cloud Observability
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
Application Performance Monitoring (APM) and Observability (39th)
 

Mindshare comparison

Monte Carlo and ServiceNow Cloud Observability aren’t in the same category and serve different purposes. Monte Carlo is designed for Data Observability and holds a mindshare of 35.0%, down 39.4% compared to last year.
ServiceNow Cloud Observability, on the other hand, focuses on Application Performance Monitoring (APM) and Observability, holds 0.4% mindshare, up 0.4% since last year.
Data Observability
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

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.
Prashant-Sharma - PeerSpot reviewer
Provides effective observability and offers robust alerting and monitoring capabilities
We use some SDK to integrate like tips in our code, in our Java code or whatever code, rightly, Skylight or whatever. So, the SDK that we use is not very easy to get a hold of. So, a person who is more experienced is able to write proper code so that an operation can have an operation name to set. So, SDK would be improved for developers so that the integration and code will get easier. The support team could be better. Because of the different versions of different tactics of integrating reactive code base, the documentation is not very clear if someone has to be onboard. I would rate the documentation of Lightstep a five out of ten. It could need improvement. Currently, what happens is, suppose in a stream, we have lots of spans. So if there is something I can filter, for example, in a single trace, there are ten calls with it. And if I have to filter, I have to go inside the individual trace to get the call. In future releases, I want to see if it is possible to filter them at a very high stream level. So, for example, I want to filter the calls only from service A, ten calls, and I want to filter only two calls out of ten. So, instead of doing that filter at the trace level, can I do it at a stream level.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It makes organizing work easier based on its relevance to specific projects and teams."
"The ability to create a stream based on different parameters, operation name, service name, URL, tags, and URI part, is one valuable feature."
"The UI is very intuitive."
"The solution Lightstep/ServiceNow has a couple of pretty advanced functionalities to help us investigate a deviation and help the development teams have better observability in the environment using distributed and complex services."
"To a certain extent, it is possible to save on the costs of the product."
 

Cons

"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"The support team could be better. Because of the different versions of different tactics of integrating reactive code base, the documentation is not very clear if someone has to be onboard. I would rate the documentation of Lightstep a five out of ten. It could need improvement."
"The design of this solution is not very intuitive and probably could come with more friendly tips for beginners."
"In terms of licensing, users would want the product to offer them the ability to tailor the tasks offered in the solution to suit their needs."
"The dashboard and graphics must be improved."
 

Pricing and Cost Advice

"The product has moderate pricing."
"The product is expensive. I rate the tool's pricing model an eight out of ten."
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Use our free recommendation engine to learn which Data Observability solutions are best for your needs.
865,164 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
16%
Manufacturing Company
9%
Retailer
8%
Financial Services Firm
8%
Financial Services Firm
19%
Manufacturing Company
14%
Computer Software Company
11%
Retailer
10%
 

Company Size

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

Questions from the Community

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 ...
What needs improvement with LightStep?
There are a lot of workflows and connectors. In terms of licensing, users would want the product to offer them the ability to tailor the tasks offered in the solution to suit their needs.
What is your primary use case for LightStep?
I use the solution in my company since it has multiple tenants available. Basically, what happens in business is that you have a hybrid setup model, and for that, you extensively use a cloud platfo...
 

Also Known As

No data available
LightStep
 

Overview

 

Sample Customers

Information Not Available
InVision, Twilio, Lyft, Yext, DigitalOcean,