IT AI Index

Index › Vendors › BigPanda · September 2026 Edition

1 category · Named, not ranked

BigPanda

14Judge labels

0First choices

5Negative labels

8 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. BigPanda was named 3 times in Incidents, where incident.io led with 25%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business58 of 60

under the label threshold

Mid-market18 of 53

under the label threshold

Enterprise17 of 52

under the label threshold

In incidents · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named BigPanda for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Incident management and on-call	IT operations and endpoint	0%	18 of 53	0%	3	under 10 labels · led by incident.io at 25%

Movement

This is the first edition on this tier, so no move can be computed for BigPanda yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated BigPanda across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	1	0	1
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	1	0	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative8 labelsNone

Budget-constrained1 labelNone

Scale-constrained1 labelNone

Negative4 labelsNone

First choiceAlternativeMentionNegative14 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Massive scale needing AI alert correlation | BigPanda” Kimi K2 · Incidents · comparative prompt · alternative

“For enterprise-scale AIOps: BigPanda is the go-to.” Mistral Small · Incidents · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as BigPanda, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and BigPanda was named but was not.

ProductSame answerTook the first choice insteadHead to head

PagerDuty14 of 145Not in the top three

incident.io12 of 143Not in the top three

Opsgenie11 of 141Not in the top three

Rootly9 of 141Not in the top three

Jira Service Management8 of 140Not in the top three

Splunk On-Call8 of 140Not in the top three

FireHydrant7 of 140Not in the top three

ServiceNow ITSM6 of 141Not in the top three

ServiceNow5 of 140Not in the top three

xMatters5 of 140Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named BigPanda. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 11 of the 14 answers that named BigPanda and are not a share of its labels.

Domains cited

xurrent.com9

rootly.com8

incident.io7

atlassian.com4

complyjet.com4

hyperping.com4

worldmetrics.org4

augmentcode.com3

betterstack.com3

bigpanda.ioYour site3

Forty-six of the forty-nine domain citations in answers naming BigPanda came from somebody else's page.

Pages cited

xurrent.com/blog/top-incident-management-software8

rootly.com/blog/15-best-incident-response-software-platforms-for-modern-engineering-teams-5

rootly.com/sre/enterprise-incident-management-top-platforms-compared5

complyjet.com/blog/best-incident-management-software4

hyperping.com/blog/best-incident-management-tools4

augmentcode.com/tools/best-incident-management-software3

betterstack.com/community/comparisons/incident-management-tools3

bigpanda.io/compare/moogsoft3

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when BigPanda's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as BigPanda, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at bigpanda.io is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.