IT AI Index
Index Vendors › Datadog · September 2026 Edition
6 categories · Ranked

Datadog

649Judge labels
90First choices
285Negative labels
12 of 12Models named it
6Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
36% in Observability for enterprise buyers
Rank 3 of 63 in the mid-market standingcriticized challenger
6 of 12 models made it the first choice on the direct prompt; 38% of its 63 labels there were negative.
By buyer segmentStrongest at enterprise.
In observability · 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 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
Observability platformsIT operations and endpoint23%3 of 6338%63criticized challenger
Infrastructure monitoringIT operations and endpoint13%4 of 6543%54criticized challenger
Application performance monitoringIT operations and endpoint11%3 of 7037%62criticized challenger
Error and crash monitoringDeveloper platform0%44 of 4460%40criticized challenger
Cloud cost managementCloud and infrastructure0%30 of 7917%6under 10 labels · led by Vantage at 54%
LLM gateways and observabilityData platform0%59 of 6350%2under 10 labels · led by LiteLLM at 38%

Movement

This is the first edition on this tier, so no move can be computed for Datadog 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 across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.52210519
GPT-5.4 mini257620
Gemini 3.5 Flash3311623
Perplexity Sonar442616
Grok 4.1 Fast5521022
Mistral Small516315
DeepSeek V4 Flash3311320
Llama 4 Maverick0211518
Qwen 3.7 Flash10121023
Kimi K25121119
GLM 4.7 FlashX443617
MiniMax M2.5433515

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
Direct116 labels40
Paraphrase122 labels35
Comparative122 labels51not counted in share
Budget-constrained79 labelsNone
Scale-constrained88 labels15
Negative122 labels4not counted in share
First choiceAlternativeMentionNegative649 labels in all, every segment counted; 90 of the 145 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.

“Datadog remains a top choice for cloud-native enterprises that want a unified SaaS platform combining APM, infrastructure monitoring, RUM, and security observability” Claude Haiku 4.5 · Observability · comparative prompt · first choice
“Datadog is widely considered the gold standard for full-stack monitoring... If budget is less of a concern and you want speed to value: Choose Datadog.” Qwen 3.7 Flash · Observability · paraphrase prompt · first choice
“Datadog is a dominant SaaS-based observability platform that consolidates metrics, traces, logs, and security in a single, highly polished dashboard.” Gemini 3.5 Flash · APM · comparative prompt · first choice
“Choose Datadog or Dynatrace if: You have budget, want a single vendor for everything, and need deep infrastructure + APM correlation out-of-the-box.” Qwen 3.7 Flash · Observability · 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.

“High Caution: Major Commercial APM Vendors ... Unpredictable pricing - Bills can triple or quadruple at scale” Kimi K2 · APM · negative prompt · hard negative
“Platforms to Approach with Caution ... 1. Datadog ... Unpredictable, rapidly escalating costs” Kimi K2 · Observability · negative prompt · hard negative
“they are generally not recommended for mid-sized B2B companies” Gemini 3.5 Flash · APM · paraphrase prompt · hard negative
“Avoid Datadog if you are a small team without dedicated DevOps” Mistral Small · Error monitoring · negative prompt · hard negative

Named alongside

The products named in the same answers as Datadog, over the 649 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datadog was named but was not.
ProductSame answerTook the first choice insteadHead to head
Dynatrace352 of 64934Not in the top three
Grafana201 of 64946Compare →
Sentry166 of 64970Not in the top three
SigNoz112 of 64917Compare →
Zabbix99 of 6495Not in the top three
AppDynamics97 of 6490Not in the top three
Prometheus93 of 6497Not in the top three
Rollbar93 of 6497Not in the top three
Splunk93 of 6490Not 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. 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 510 of the 649 answers that named Datadog and are not a share of its labels.

Domains cited

gartner.com193
newrelic.com178
cubeapm.com152
middleware.io124
motadata.com119
toolradar.com119
g2.com116
openobserve.ai112
rollbar.com105
uptrace.dev104

1,322 of the 1,322 domain citations in answers naming Datadog 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'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, 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.