IT AI Index
Index Vendors › Datadog Cloud SIEM · September 2026 Edition
Datadog · 2 categories · Ranked

Datadog Cloud SIEM

24Judge labels
0First choices
6Negative labels
11 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.
Best standing
0% in SIEM for small business buyers
Rank 14 of 49 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 29% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In siem · 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 Cloud SIEM 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
SIEM platformsSecurity operations0%14 of 4929%7under 10 labels · led by Microsoft Sentinel at 41%
Log managementIT operations and endpoint0%49 of 59100%1under 10 labels · led by Datadog Log Management at 20%

Movement

This is the first edition on this tier, so no move can be computed for Datadog Cloud SIEM 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 Cloud SIEM 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 Flash02002
Perplexity Sonar00000
Grok 4.1 Fast00011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick01001
Qwen 3.7 Flash01001
Kimi K200011
GLM 4.7 FlashX00011
MiniMax M2.501001

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
Direct3 labelsNone
Paraphrase3 labelsNone
Comparative5 labelsNone
Budget-constrained3 labelsNone
Scale-constrained5 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative24 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.

“If your IT/engineering teams are already using Datadog for observability, adding their security module can be highly cost-effective” Gemini 3.5 Flash · SIEM · scale prompt · alternative
“Provides security analytics built into the observability platform, with pricing based on events analyzed” Llama 4 Maverick · SIEM · budget prompt · alternative
“Best for Tech-Forward / SaaS B2B Companies: Datadog Cloud SIEM or Sumo Logic” Gemini 3.5 Flash · SIEM · paraphrase prompt · alternative
“look at Google Chronicle or Datadog (for observability-style security)” Qwen 3.7 Flash · SIEM · scale 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.

“Observability-first, security-second... weaker as standalone SIEM” Kimi K2 · SIEM · negative prompt · soft negative
“Niche Players: limited vision/execution for broad log management” Grok 4.1 Fast · Logs · negative prompt · soft negative
“Best as a companion rather than a full SIEM replacement” GLM 4.7 FlashX · SIEM · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Datadog Cloud SIEM, over the 24 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datadog Cloud SIEM was named but was not.
ProductSame answerTook the first choice insteadHead to head
Microsoft Sentinel22 of 248Not in the top three
Blumira10 of 244Not in the top three
Elastic Security10 of 241Not in the top three
Wazuh10 of 241Not in the top three
Splunk10 of 240Not in the top three
IBM QRadar9 of 240Not in the top three
Rapid7 InsightIDR8 of 242Not in the top three
Sumo Logic5 of 241Not in the top three
Huntress Managed SIEM5 of 240Not in the top three
Splunk Enterprise Security5 of 240Not 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 Cloud SIEM. 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 16 of the 24 answers that named Datadog Cloud SIEM and are not a share of its labels.

Domains cited

paloaltonetworks.com8
q-sec.com8
reddit.com8
gartner.com7
solutionsinsider.com7
underdefense.com7
nohack.net6
subrosacyber.com6
comparitech.com4
siemcostcalculator.com4

Sixty-five of the sixty-five domain citations in answers naming Datadog Cloud SIEM came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Datadog Cloud SIEM

What the judge wrote, as written, with how often. The vendor table decides that these count as Datadog Cloud SIEM; a claim can dispute any of them.
Datadog 1Datadog SIEM 1
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 Cloud SIEM'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 Cloud SIEM, 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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