AIOps platforms · November 2026 Edition
New Relic Applied Intelligence vs LogicMonitor
Four of fourteen models named New Relic Applied Intelligence first on the direct prompt; two named LogicMonitor. New Relic Applied Intelligence was named by thirteen of the fourteen models and LogicMonitor by eight and New Relic Applied Intelligence carries 45 labels and LogicMonitor 12, so the shares are not directly comparable.
New Relic Applied Intelligence
accepted challengerNamed in one category this edition.
Named in seven categories this edition.
First-choice share12%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#8A position in a field of 15; printed, not drawn.
Labels4512A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, New Relic Applied Intelligence reading right to left. Rank and label count are printed, not drawn.Site24x7 was named alongside these two in eight of the fourteen direct answers. Site24x7 vs New Relic Applied Intelligence · Site24x7 vs LogicMonitor · Datadog vs New Relic Applied Intelligence
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the aiops platforms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
New Relic Applied IntelligenceFirst choices, of fourteen modelsLogicMonitor
Direct421 against New Relic Applied Intelligence
Paraphrase00
Comparative00
Budget-constrained301 against LogicMonitor
Scale-constrained00
Negative002 against New Relic Applied Intelligence · 1 against LogicMonitor
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where New Relic Applied Intelligence and LogicMonitor stood in it.
| Model | DirectNR | ParaphraseNR | ComparativeNR | Budget-constrainedNR | Scale-constrainedNR | NegativeNR |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | NR | NR | ||||
| GPT-5.4 mini | NR | NR | ||||
| Gemini 3.5 Flash | NR | NR | ||||
| Perplexity Sonar | NR | |||||
| Grok 4.20 | NR | NR | NR | NR | NR | |
| Mistral Small | NR | NR | ||||
| DeepSeek V4 Flash | NR | NR | ||||
| Llama 4 Maverick | NR | NR | ||||
| Qwen 3.7 Flash | | NR | NR | |||
| Kimi K2 | NR | NR | NR | NR | ||
| GLM 4.7 FlashX | NR | NR | NR | |||
| MiniMax M2.5 | | |||||
| GPT-6 Luna | NR | NR | ||||
| Muse Glimmer 30B | NR | NR |
NR New Relic Applied Intelligence LogicMonitorNR first choiceNR named as an alternativeNR argued againstblank: not namedEach cell is one answer, New Relic Applied Intelligence on the left and LogicMonitor on the right.
LogicMonitorNR first choiceNR named as an alternativeNR argued againstblank: not namedEach cell is one answer, New Relic Applied Intelligence on the left and LogicMonitor on the right.The direct prompt
The plain question, one answer per model, grouped by where New Relic Applied Intelligence and LogicMonitor stood in it.
New Relic Applied Intelligence first, LogicMonitor an alternative
4 of 14 modelsLogicMonitor was named in the answer but not as the choice, or not at all.Claude Haiku 4.5New Relic Applied Intelligence, PagerDuty AIOps alternatives: BigPanda, LogicMonitor
Grok 4.20New Relic Applied Intelligence, Site24x7 alternatives: Datadog
Mistral SmallNew Relic Applied Intelligence, Site24x7 alternatives: BMC Helix Operations Management, Better Stack
DeepSeek V4 FlashDatadog, New Relic Applied Intelligence alternatives: BigPanda, ScienceLogic SL1, Site24x7
LogicMonitor first, New Relic Applied Intelligence an alternative
2 of 14 modelsNew Relic Applied Intelligence was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashDatadog, LogicMonitor alternatives: Dynatrace, New Relic Applied Intelligence, PagerDuty AIOps
GLM 4.7 FlashXDatadog, LogicMonitor alternatives: New Relic Applied Intelligence, ServiceNow IT Operations Management, Site24x7
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Llama 4 MaverickDatadog alternatives: BigPanda, Dynatrace, Moogsoft, New Relic Applied Intelligence, Splunk
Qwen 3.7 FlashSite24x7 alternatives: BigPanda, LogicMonitor, Moogsoft
MiniMax M2.5Better Stack, Site24x7 alternatives: BigPanda, LogicMonitor, OpsPilot
GPT-6 LunaDatadog alternatives: New Relic Applied Intelligence, PagerDuty AIOps
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniDynatrace alternatives: BigPanda, Moogsoft
Perplexity SonarDatadog alternatives: Coralogix, Dynatrace, OpenObserve, ServiceNow ITOM
Kimi K2PagerDuty AIOps alternatives: BigPanda, IBM Instana, ManageEngine OpManager, Site24x7
Muse Glimmer 30BBetter Stack, ManageEngine OpManager, Site24x7 alternatives: Atera
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
New Relic Applied Intelligence leads by twenty-three points.
New Relic Applied Intelligence23%#2 of 14
LogicMonitor0%#9 of 14Mid-marketThe figures above
New Relic Applied Intelligence leads by nine points.
New Relic Applied Intelligence12%#3 of 15
LogicMonitor4%#8 of 15Enterprise
New Relic Applied Intelligence leads by six points.
New Relic Applied Intelligence6%#4 of 15
LogicMonitor0%#– of 15What the models said about New Relic Applied Intelligence
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Pricing can escalate with full-stack usage, and AI features ... are sometimes seen as "basic"” Grok 4.20 · negative prompt · soft negative
“often struggle with the "black box" nature of their own AI models” GLM 4.7 FlashX · negative prompt · soft negative
“typically heavier/pricier for smaller mid-market teams” Muse Glimmer 30B · direct prompt · soft negative
“New Relic and Site24x7 are frequently recommended due to their balance of features, ease of use, and scalability” Mistral Small · direct prompt · first choice
“New Relic and Site24x7 are excellent starting points, especially with their free tiers or low starting prices.” Mistral Small · budget prompt · first choice
“Start with New Relic's free tier or Site24x7's $10/month plan if you want immediate value with minimal setup.” Kimi K2 · budget prompt · first choice
What the models said about LogicMonitor
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid for tight budgets: ... LogicMonitor” Grok 4.20 · budget prompt · hard negative
“these platforms may still require significant manual tuning and human oversight” GLM 4.7 FlashX · negative prompt · soft negative
“Select Datadog if your culture is DevOps and cloud-native. * Select LogicMonitor if your environment is hybrid IT and ITOps-focused.” Gemini 3.5 Flash · direct prompt · first choice
Also compared
Site24x7 vs New Relic Applied IntelligenceSite24x7 vs LogicMonitorDatadog vs New Relic Applied IntelligenceDatadog vs LogicMonitorNew Relic Applied Intelligence vs PagerDuty AIOpsNew Relic Applied Intelligence vs BigPandaNew Relic Applied Intelligence vs Grafana CloudNew Relic Applied Intelligence vs ManageEngine OpManagerPagerDuty AIOps vs LogicMonitorBigPanda vs LogicMonitorGrafana Cloud vs LogicMonitorManageEngine OpManager vs LogicMonitorAll twenty-eight head-to-head pages and the full aiops standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.