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StableNet Reviews

Vendor: Infosim
3.8 out of 5

What is StableNet?

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StableNet mindshare

As of September 2025, the mindshare of StableNet in the Network Monitoring Software category stands at 0.2%, up from 0.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
StableNet0.2%
Zabbix11.7%
LibreNMS4.6%
Other83.5%
Network Monitoring Software
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Top industries

By visitors reading reviews
Government
20%
Manufacturing Company
15%
Financial Services Firm
11%
Performing Arts
7%
Comms Service Provider
7%
Energy/Utilities Company
6%
Computer Software Company
4%
Hospitality Company
4%
Construction Company
4%
University
3%
Insurance Company
3%
Educational Organization
3%
Media Company
1%
Mining And Metals Company
1%
Outsourcing Company
1%
Logistics Company
1%
Real Estate/Law Firm
1%
Recreational Facilities/Services Company
1%
Retailer
1%
Aerospace/Defense Firm
1%
Consumer Goods Company
1%

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StableNet Reviews Summary
Author infoRatingReview Summary
Director of Development/Project Manager at Enablers Private Limited4.0We deployed StableNet in Oman and Neom for unified management across various solutions like Cisco and HPE. It excels in configuration backup and performance but needs dashboard improvements. While Datadog is easier, StableNet offers extensive scripting capabilities.
Senior Analyst at Mind3.5I use StableNet for device performance and utilization monitoring. Its best features are reporting, utilization, and network graphs. However, it's expensive. I deploy it using Amazon Web Services but didn't consider other solutions. Return on investment wasn't discussed.
Information Technology Staff at GlobalFoundries4.0StableNet is our primary solution for on-premises network management due to its reliability, customization, and protection features. However, integration with other products and the user-friendliness of its dashboard need improvement to support our hybrid model effectively.