IT AI Index
Index Vendors › Datadog APM · September 2026 Edition
Datadog · 2 categories · Named, not ranked

Datadog APM

7Judge labels
2First choices
3Negative labels
5 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Datadog APM was named 2 times in APM and 1 other category, where New Relic led with 54%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In apm · 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 Datadog APM 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Application performance monitoringIT operations and endpoint0%30 of 700%1under 10 labels · led by New Relic at 54%
Error and crash monitoringDeveloper platform0%34 of 44100%1under 10 labels · led by Sentry at 82%

Movement

This is the first edition on this tier, so no move can be computed for Datadog APM 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 Datadog APM across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small10001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500011

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
Direct2 labels1
Paraphrase1 label1
Comparative2 labels1not counted in share
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative7 labels in all, every segment counted; 2 of the 3 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.

“Best for unified cloud observability, offering strong integration with cloud-native environments and a comprehensive feature set” Mistral Small · APM · comparative prompt · first choice

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.

“Considerations: Higher price point, better for larger teams” MiniMax M2.5 · Error monitoring · direct prompt · soft negative

Named alongside

The products named in the same answers as Datadog APM, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datadog APM was named but was not.
ProductSame answerTook the first choice insteadHead to head
New Relic6 of 72Not in the top three
Dynatrace6 of 70Not in the top three
AppDynamics4 of 70Not in the top three
Elastic APM3 of 70Not in the top three
AppSignal2 of 71Not in the top three
Sentry2 of 71Not in the top three
Grafana Cloud2 of 70Not in the top three
Rollbar1 of 71Not in the top three
Azure Monitor Application Insights1 of 70Not in the top three
IBM Instana1 of 70Not 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 Datadog APM. 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 6 of the 7 answers that named Datadog APM and are not a share of its labels.

Domains cited

rollbar.com4
instatus.com3
scoutapm.com3
cubeapm.com2
g2.com2
guideflow.com2
medium.com2
middleware.io2
newrelic.com2
openobserve.ai2

Twenty-four of the twenty-four domain citations in answers naming Datadog APM came from somebody else's page.

Pages cited

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 Datadog APM'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 Datadog APM, 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 datadog.com 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.

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