No more typing reviews! Try our Samantha, our new voice AI agent.

ManageEngine IT360 vs Splunk Observability Cloud comparison

Why PeerSpot?
 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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

ManageEngine IT360
Ranking in Network Monitoring Software
85th
Ranking in IT Infrastructure Monitoring
71st
Average Rating
8.4
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
IT Asset Management (24th)
Splunk Observability Cloud
Ranking in Network Monitoring Software
4th
Ranking in IT Infrastructure Monitoring
3rd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
107
Ranking in other categories
Application Performance Monitoring (APM) and Observability (5th), Cloud Monitoring Software (2nd), Container Management (4th), Digital Experience Monitoring (DEM) (3rd)
 

Mindshare comparison

As of October 2026, in the Network Monitoring Software category, the mindshare of ManageEngine IT360 is 0.6%, up from 0.2% compared to the previous year. The mindshare of Splunk Observability Cloud is 1.6%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software Mindshare Distribution
ProductMindshare (%)
Splunk Observability Cloud1.6%
ManageEngine IT3600.6%
Other97.8%
Network Monitoring Software
 

Featured Reviews

ZM
It manager at PTC (Public Telecomuncation Corporation)
Good monitoring and alerting capability, and it is easy to deploy
This solution is good for configuration management. The monitoring capability is easy to use and it can be done without any training. ManageEngine is easy to deploy. It is easy to identify and collect information from all of the nodes on the network. The alerting capability is good and it will send out emails.
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

Quotes from Members

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

Pros

"The monitoring capability is easy to use and it can be done without any training."
"It is easy to identify and collect information from all of the nodes on the network."
"The primary use case of this solution is to manage and to protect the web servers, the mail server, and the website in my company."
"All I know is that when it comes to managing the active directory, ManageEngine is something I consider to be the best."
"Customer Service: Absolutely fantastic."
"The product helps users stay on top of gaining insight into the active directory, permissions and security sets, and user group policy changes."
"The technical support is good."
"I would suggest you use this product as it's easy for administration, and is based on distributed model support."
"After moving to Splunk Observability Cloud, it is almost zero downtime."
"The most valuable features are troubleshooting and optimizing application performance."
"We utilize the APM and auto-detectors, as the core metrics and core alerts are available for us, which are the features of Splunk Observability Cloud that I appreciate the most."
"It has positively impacted my organization in terms of observing different sorts of metrics and tracing across different applications, and it is really helpful."
"The most valuable feature is dashboard creation."
"Since using Splunk Observability Cloud and the Ansible Automation Platform, the overall mean time for resolve has reduced by 30x, averaging from 120 minutes down to 6.2 minutes, and I have potentially avoided 12,000 hours of downtime."
"The Add data feature lets you gather any type of log and easily analyze it, which is easier than using other solutions like ArcSight or Elasticsearch, and we can use these logs with our data processes to explain our situation."
"Splunk Observability Cloud has helped improve my operational performance; previously, we used Elastic for similar purposes, and this has allowed us much more visibility into what we're working on with usable dashboards and metrics, which has been awesome."
 

Cons

"This is because of the lack of available technical knowledge in terms of competence and maximizing the power of the product."
"The ManageEngine features could improve to show graphs of the traffic and network utility."
"The product could use more intelligence, automation and general availability of product information."
"The GUI could be improved."
"We would like to have support for integration with ServiceDesk."
"ManageEngine needs to fix the downtime scheduler for SNMP monitored devices. Alarms are still generated for the devices placed into scheduled maintenance."
"In terms of pricing, I have one issue with Splunk Observability Cloud; in a large-scale organization, it does not have features such as cost optimization or budgeting for observability spend."
"The solution's machine learning deployment is hard and should be made user-friendly."
"The price of this solution is very high and can be improved."
"Enhancements can be made to Splunk Observability Cloud dashboard, particularly the widgets that can help display ROI metrics and streamline setup for detection tuning."
"Splunk Infrastructure Monitoring's data analytics can be improved by including suggestions for various types of continuous monitoring."
"The price has room for improvement."
"The solution should have more sensors regarding fiber intelligence for security measures."
"The cost needs to be re-examined. It's extremely expensive to run."
 

Pricing and Cost Advice

Information not available
"Licensing cost is the biggest argument I get from those divesting from Splunk. There are those within our organization who say we are going to go to other tools since Splunk is too expensive."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
"The solution's pricing is costly."
"Splunk has been fairly expensive, but it has been predictable."
"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."
"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."
"This is an expensive solution."
"The pricing is reasonable."
report
Use our free recommendation engine to learn which Network Monitoring Software solutions are best for your needs.
915,341 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
28%
Comms Service Provider
17%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
11%
Manufacturing Company
9%
Outsourcing Company
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise10
Large Enterprise72
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

Also Known As

IT360
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Khimji Ramdas, RME Global, Bank of Namibia, DORMA, PMSI, National Commodities Exchange, EMA, Redstone, First Source
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about ManageEngine IT360 vs. Splunk Observability Cloud and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.