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Grafana vs Monte Carlo comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Grafana
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
40
Ranking in other categories
Application Performance Monitoring (APM) and Observability (6th)
Monte Carlo
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
Data Observability (1st)
 

Featured Reviews

AbhishekGupta - PeerSpot reviewer
Oct 8, 2022
Beneficial operational excellence, reliable, and scalable
We are using Grafana for observability dashboards Grafana has helped our organization with observability and operational excellence. Operational excellence is a key part of any organization from a data platform perspective and setting the alerts and monitoring policies on Grafana was easy. The…
PR
Aug 31, 2023
Provides centralized data observability features and has an easy-to-use user interface.
Monte Carlo works as a centralized data tool. We use it for data observability and anomaly detection, which helps identify issues and changes in data flows The product allows us to segment data into domains and categories. It makes organizing work easier based on its relevance to specific…

Quotes from Members

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

Pros

"It is a stable, reliable product."
"Visualisation: It is easy to create beautiful, understanding graphs, snapshots to share the graphs with people who do not have access to Grafana, and templating to create powerful graphs."
"The most important feature of Grafana is its alarm formatting capability."
"It provides a graphical representation and it's clear to see what's happening."
"The best feature was the creation of graphs and trends."
"We like the alert features."
"This solution provides valuable insights into the health of our infrastructure in real time."
"What I found most valuable in Grafana is that it has a lot of integrations and features that I need for data processing and visualization."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"There are not a lot of plugins for financial market monitoring."
"More dashboard is required, out-of-the-box, for OpenNMS."
"The features are complicated and not intuitive."
"I have a problem with Grafana in the area of documentation."
"The solution should include online support."
"There is room for improvement when using multiple dashboards because they can become complicated to keep track of and use."
"Lacks in-depth graphs and sufficient AI."
"If there was an issue on one node, we couldn't drill down and see all the issues on other nodes."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
 

Pricing and Cost Advice

"We use the open-source version of Grafana."
"For me, Grafana is a cheap tool because I don't have to spend much time learning the product since it is a simple solution."
"I give the price an eight out of ten."
"My company uses the open-source version of Grafana, so it's free."
"The solution is expensive."
"I use the open source model so it is free."
"I am using an open-source version"
"Since Grafana is an open-source solution, it is free of cost."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
10%
Retailer
6%
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
 

Questions from the Community

What do you like most about Grafana?
The product's initial setup phase was very easy.
What is your experience regarding pricing and costs for Grafana?
For me, Grafana is a cheap tool because I don't have to spend much time learning the product since it is a simple solution. I don't know if there are different paid versions of the product.
What needs improvement with Grafana?
Grafana could improve by having its own query language. Currently, it uses languages like Prometheus or InfluxDB, which not everyone knows. Their query language should be easier.
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

 

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Sample Customers

Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.
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