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Data as of Oct 18, 2026Based on 729 AI responses
Reviewed by Dimitry Apollonsky
AI summary
LogicMonitor holds a clear lead, frequently recommended for automated discovery and hybrid-cloud infrastructure visibility. For deep packet capture and low-latency troubleshooting, Wireshark is the usual answer instead.
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | automated hybrid-cloud infrastructure discovery and machine learning-powered alerting | automated hybrid-cloud infrastructure discovery and machine learning-powered alerting | 51% |
| 2 | cloud-native unified observability, synthetic testing, and containerized architectures | cloud-native unified observability, synthetic testing, and containerized architectures | 42% |
| 3 | multi-vendor physical, virtual, and storage infrastructure management | multi-vendor physical, virtual, and storage infrastructure management | 27% |
| 4 | causal AI root-cause analysis across enterprise application stacks | causal AI root-cause analysis across enterprise application stacks | 24% |
| 5 | customizable, open-source enterprise network monitoring without licensing fees | customizable, open-source enterprise network monitoring without licensing fees | 23% |
| 6 | global internet path visualization and enterprise synthetic testing | global internet path visualization and enterprise synthetic testing | 21% |
| 7 | traditional on-premises network topology mapping and storage reporting | traditional on-premises network topology mapping and storage reporting | 21% |
| 8 | sensor-based monitoring across on-premise hardware and network traffic | sensor-based monitoring across on-premise hardware and network traffic | 19% |
| 9 | hybrid, multi-cloud, and SD-WAN network flow observability | hybrid, multi-cloud, and SD-WAN network flow observability | 17% |
| 10 | deep multi-vendor hardware visibility and enterprise flow diagnostics | deep multi-vendor hardware visibility and enterprise flow diagnostics | 14% |
| 11 | 14% | ||
| 12 | 13% | ||
| 13 | 11% | ||
| 14 | 10% | ||
| 15 | 10% |
Weeks of Jul 27 – Sep 6, 2026 · Since Jul 5
Widest split: ManageEngine ITOM, 19% on ChatGPT Search and 31% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| LogicMonitor | 55% | 51% | |
| Datadog | 38% | 46% | |
| ManageEngine ITOM | 19% | 31% | |
| Dynatrace | 22% | 29% | |
| Zabbix | 16% | 23% | |
| ThousandEyes | 21% | 18% | |
| SolarWinds | 26% | 16% | |
| PRTG Network Monitor | 16% | 17% | |
| Kentik | 18% | 18% | |
| SolarWinds Network Performance Monitor | 15% | 14% |
55% of citations point at the ranked brands’ own sites. youtube.com, gartner.com, techradar.com are the most-cited sites outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
What are the best solutions for monitoring the performance and capacity of specific storage array hardware?
Which applications provide performance and capacity monitoring specifically for storage hardware platforms?
Which network and data center monitoring platforms offer observability across hybrid environments while allowing for child-account multi-tenancy?
What are the top-rated monitoring platforms for managed service providers that feature role-based access, integrated billing, and multi-tenant dashboards?
Can you recommend data center and network monitoring platforms that handle hybrid infrastructure and allow for child-account multi-tenancy?
Which tools monitor network devices, storage arrays, and hypervisors in one data center dashboard?
What is the best infrastructure monitoring tool?
What is the best solution for automating the discovery and mapping of our whole IT network?
What are the best software options for fully automated network infrastructure discovery and visualization?
Can you recommend network monitoring platforms that prioritize reducing alert fatigue through deduplication and root-cause analysis?
Which network monitoring solutions are most effective at handling alert fatigue through deduplication and root-cause analysis?
Show me software options for data center network monitoring that feature visual performance dashboards.
I am looking for network monitoring platforms with synthetic testing, flow analysis, and global service dashboards. Which ones should I consider?
What storage monitoring solutions are suitable for a small-scale data center?
Which storage monitoring tools are recommended for smaller data center infrastructures?
Can you suggest monitoring solutions for low-latency data centers that specifically support packet capture and jitter analysis?
Which monitoring platforms are recommended for low-latency data center environments that require packet capture and jitter analysis features?
