AIOps platforms · November 2026 Edition
BigPanda vs ManageEngine OpManager
Zero of fourteen models named BigPanda first on the direct prompt; one named ManageEngine OpManager. BigPanda was named by fourteen of the fourteen models and ManageEngine OpManager by six and BigPanda carries 44 labels and ManageEngine OpManager 10, so the shares are not directly comparable.
Named in two categories this edition.
Named in seven categories this edition.
First-choice share11%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#7A position in a field of 15; printed, not drawn.
Labels4410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BigPanda 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 BigPanda · Site24x7 vs ManageEngine OpManager · Datadog vs BigPanda
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.
BigPandaFirst choices, of fourteen modelsManageEngine OpManager
Direct01
Paraphrase612 against BigPanda
Comparative00
Budget-constrained001 against BigPanda
Scale-constrained00
Negative005 against BigPanda · 1 against ManageEngine OpManager
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 BigPanda and ManageEngine OpManager stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | | | ||
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | | |
BigPanda ManageEngine OpManager first choice named as an alternative argued againstblank: not namedEach cell is one answer, BigPanda on the left and ManageEngine OpManager on the right.The direct prompt
The plain question, one answer per model, grouped by where BigPanda and ManageEngine OpManager stood in it.
ManageEngine OpManager first, BigPanda not the choice
1 of 14 modelsBigPanda was named in the answer but not as the choice, or not at all.Muse Glimmer 30BBetter Stack, ManageEngine OpManager, Site24x7 alternatives: Atera
Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5New Relic Applied Intelligence, PagerDuty AIOps alternatives: BigPanda, LogicMonitor
GPT-5.4 miniDynatrace alternatives: BigPanda, Moogsoft
DeepSeek V4 FlashDatadog, New Relic Applied Intelligence alternatives: BigPanda, ScienceLogic SL1, Site24x7
Llama 4 MaverickDatadog alternatives: BigPanda, Dynatrace, Moogsoft, New Relic Applied Intelligence, Splunk
Qwen 3.7 FlashSite24x7 alternatives: BigPanda, LogicMonitor, Moogsoft
Kimi K2PagerDuty AIOps alternatives: BigPanda, IBM Instana, ManageEngine OpManager, Site24x7
MiniMax M2.5Better Stack, Site24x7 alternatives: BigPanda, LogicMonitor, OpsPilot
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashDatadog, LogicMonitor alternatives: Dynatrace, New Relic Applied Intelligence, PagerDuty AIOps
Perplexity SonarDatadog alternatives: Coralogix, Dynatrace, OpenObserve, ServiceNow ITOM
Grok 4.20New Relic Applied Intelligence, Site24x7 alternatives: Datadog
Mistral SmallNew Relic Applied Intelligence, Site24x7 alternatives: BMC Helix Operations Management, Better Stack
GLM 4.7 FlashXDatadog, LogicMonitor alternatives: New Relic Applied Intelligence, ServiceNow IT Operations Management, Site24x7
GPT-6 LunaDatadog alternatives: New Relic Applied Intelligence, PagerDuty AIOps
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
Level: the same share of first choices.
BigPanda0%#13 of 14ManageEngine OpManager0%#– of 14Mid-marketThe figures above
BigPanda leads by seven points.
BigPanda11%#5 of 15ManageEngine OpManager4%#7 of 15Enterprise
BigPanda leads by twenty-eight points.
BigPanda28%#1 of 15ManageEngine OpManager0%#– of 15What the models said about BigPanda
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“BigPanda or similar correlation-only tools when you need full lifecycle automation: ... they may still require separate monitoring, ITSM, on-call, and remediation tools” Perplexity Sonar · negative prompt · soft negative
“BigPanda does not support time series metrics metrics collection or analysis... is among the most expensive AIOps platforms” Claude Haiku 4.5 · negative prompt · soft negative
“BigPanda is my top recommendation for a mid-sized B2B company needing strong IT event correlation and noise reduction.” Grok 4.20 · paraphrase prompt · first choice
“BigPanda is the clear leader for mid-market. It was built specifically for this problem.” MiniMax M2.5 · paraphrase prompt · first choice
“I recommend BigPanda as your IT event correlation and noise reduction tool” Mistral Small · paraphrase prompt · first choice
What the models said about ManageEngine OpManager
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Listed in vendor round-ups with lower maturity signals.” Muse Glimmer 30B · negative prompt · soft negative
Also compared
Site24x7 vs BigPandaSite24x7 vs ManageEngine OpManagerDatadog vs BigPandaDatadog vs ManageEngine OpManagerNew Relic Applied Intelligence vs BigPandaNew Relic Applied Intelligence vs ManageEngine OpManagerPagerDuty AIOps vs BigPandaPagerDuty AIOps vs ManageEngine OpManagerBigPanda vs Grafana CloudBigPanda vs LogicMonitorGrafana Cloud vs ManageEngine OpManagerManageEngine 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.