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Monte Carlo vs Splunk APM comparison

 

Categories and Ranking

Monte Carlo
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
Data Observability (1st)
Splunk APM
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th)
 

Featured Reviews

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…
Lakshmi Padaga - PeerSpot reviewer
Aug 28, 2024
Collaborates performance metrics with log data to pinpoint the exact cause of issues and offers error detection
Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navigation, like streamlining the user interface to make navigation more intuitive for our users, especially those new to APM, which can enhance usability. We can provide more customization options for dashboards and visualizations to help users tailor the platform to their specific needs. There could be more integration capabilities with a wider range of third-party tools and platforms would also be beneficial. By focusing on these areas, Splunk APM can enhance its value proposition, improve user satisfaction, and better meet the evolving needs of organizations monitoring their application performance.

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."
"Splunk APM helps us to find errors immediately and resolve them."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The most beneficial aspect of Slunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices."
"Splunk APM provides a holistic view of the application. Unlike other APMs, Splunk's service map is quite effective."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"The solution is stable and reliable."
"Detectors are a powerful feature."
"The features are pretty much ready out of the box."
 

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 dashboards are used mainly to visualize information about the infrastructure, but it isn't easy to construct or use the dashboards. While we tried to resolve the issue by calling support, it would be easier if they had an AI co-pilot to identify the problem and help you solve it."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"There is room for improvement in the alerting system, which is complicated and has less documentation available."
"The UI enhancements could be a way to improve the solution in the future."
"Once you see the issues related to the scalability part, you need to understand that it is a warning triangle. After seeing the warning triangle, you need to realize that you cannot trust any of the numbers you see in the chart because it is not a complete, full data set."
"The monitoring of workloads when using SignalFx could be improved."
"Splunk isn't an ideal tool for application performance management due to the extensive setup required."
 

Pricing and Cost Advice

"The product has moderate pricing."
"The pricing is based on several factors, including the scale of deployment."
"The price of Slunk APM is less than some of its competitors."
"The pricing is reasonable."
"It appears to be expensive compared to competitors."
"Splunk APM is expensive."
"Splunk APM is a very cost-efficient solution."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
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Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
10%
Manufacturing Company
8%
Retailer
8%
Financial Services Firm
18%
Computer Software Company
15%
Manufacturing Company
13%
Retailer
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 do you like most about SignalFx?
The most valuable feature is dashboard creation.
What needs improvement with SignalFx?
Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navi...
What is your primary use case for SignalFx?
We use Splunk in APM to monitor our applications. So, we integrated it into our systems to enhance our monitoring and observing capabilities, especially for our microservices. So, we have used Splu...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara