Small business▼−4Since September 2026: 10% → 6%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 10% in September 2026
Inside the floor by 7 pointsRank 5 → 9 of 72
8 categories · RankedDatadog
664Judge labels
95First choices
288Negative labels
14 / 14Models named it
8Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
41% in Infra monitoring for enterprise buyers
Rank 1 of 79 in the mid-market standingcriticized challenger
6 of 14 models made it the first choice on the direct prompt; 41% of its 59 labels there were negative.
What the models named instead of Datadog →By buyer segmentStrongest at enterprise.
Small business9 of 74
5%59 labels
criticized challenger
Mid-market1 of 79
28%59 labels
criticized challenger
Enterprise1 of 70
41%73 labels
criticized default
In infra monitoring · 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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Infrastructure monitoring | IT operations and endpoint | 28% | 1 of 79 | 41% | 59 | criticized challenger | ▲+14Since September 2026: 13% → 27%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked. |
| Observability platforms | IT operations and endpoint | 18% | 3 of 80 | 40% | 68 | criticized challenger | ▼−6Since September 2026: 23% → 17%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| AIOps platforms | IT operations and endpoint | 15% | 2 of 93 | 15% | 40 | accepted challenger | |
| Client-side protection | Security operations | 2% | 18 of 120 | 0% | 1 | under 10 labels · led by cside at 13% | |
| Telemetry pipelines | IT operations and endpoint | 2% | 18 of 124 | 54% | 28 | criticized challenger | |
| Data quality and observability | Data platform | 0% | 108 of 110 | 43% | 7 | under 10 labels · led by Metaplane at 31% | |
| Incident management and on-call | IT operations and endpoint | 0% | 34 of 65 | 0% | 1 | under 10 labels · led by incident.io at 32% | |
| Time series databases | Data platform | 0% | 26 of 66 | 0% | 1 | under 10 labels · led by TimescaleDB at 63% |
Movement
Since September 2026, Datadog moved past the floor in one of eight categories: Infra monitoring, +14 points to 27%. It held within the floor in the other seven.
Best category · Infra monitoring · by segment
Mid-market▲+14Since September 2026: 13% → 27%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked.
27%from 13% in September 2026
Cleared the floor by 3 pointsRank 4 → 1 of 69
Enterprise▲+7Since September 2026: 35% → 42%, +7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
42%from 35% in September 2026
Inside the floor by 4 pointsRank 1 of 65, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Infra monitoring | 13% | 27% | ▲+14Since September 2026: 13% → 27%, +14 points. Past the 11-point floor: movement. Read over the models both editions asked. | Moved past the floor | Rank 4 → 1 of 79 |
| AIOps | 0% | 13% | newNew since September 2026: not ranked then, 13% now. | New this edition | Rank 2 of 93, unchanged |
| Observability | 23% | 17% | ▼−6Since September 2026: 23% → 17%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 3 of 80, unchanged |
| Client-side protection | 0% | 3% | newNew since September 2026: not ranked then, 3% now. | New this edition | Rank 18 of 120, unchanged |
| Telemetry pipelines | 0% | 2% | newNew since September 2026: not ranked then, 2% now. | New this edition | Rank 18 of 124, unchanged |
| Data observability | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 108 of 110, unchanged |
| Incidents | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 34 of 65, unchanged |
| Time series DBs | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 26 of 66, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Datadog across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Datadog across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 3 | 5 | 5 | 15 |
| GPT-5.4 mini | 4 | 3 | 2 | 1 | 10 |
| Gemini 3.5 Flash | 3 | 0 | 3 | 12 | 18 |
| Perplexity Sonar | 4 | 1 | 3 | 1 | 9 |
| Grok 4.20 | 5 | 6 | 2 | 11 | 24 |
| Mistral Small | 0 | 1 | 5 | 4 | 10 |
| DeepSeek V4 Flash | 1 | 1 | 4 | 12 | 18 |
| Llama 4 Maverick | 2 | 2 | 4 | 2 | 10 |
| Qwen 3.7 Flash | 8 | 1 | 3 | 8 | 20 |
| Kimi K2 | 4 | 2 | 2 | 9 | 17 |
| GLM 4.7 FlashX | 3 | 4 | 3 | 2 | 12 |
| MiniMax M2.5 | 7 | 2 | 4 | 2 | 15 |
| GPT-6 Luna | 4 | 3 | 1 | 2 | 10 |
| Muse Glimmer 30B | 4 | 6 | 3 | 4 | 17 |
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
Direct138 labels42
Paraphrase99 labels40
Comparative130 labels43not counted in share
Budget-constrained96 labels1
Scale-constrained78 labels12
Negative123 labels4not counted in share
First choiceAlternativeMentionNegative664 labels in all, every segment counted; 95 of the 142 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.
“It is the go-to for SaaS B2B teams already on AWS/Azure/GCP who want rapid onboarding and SaaS management, but it is metered and can get expensive at scale.” Muse Glimmer 30B · Infra monitoring · direct prompt · first choice
“Datadog - The Market Leader ... Choose Datadog if you want the most comprehensive, easy-to-use platform with the broadest integrations” Kimi K2 · Observability · comparative prompt · first choice
“Datadog offers a unified full-stack monitoring platform that collects and correlates data from over 1,000 vendor-backed technologies.” Llama 4 Maverick · Observability · paraphrase prompt · first choice
“Datadog continues to be a leader providing a unified platform... Datadog = broadest SaaS ecosystem with fast setup but SKU-heavy cost” Muse Glimmer 30B · 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.
“By far the most frequently cited platform for cost-related concerns... Unpredictable and complex billing — This is the #1 complaint by a wide margin” DeepSeek V4 Flash · Observability · negative prompt · hard negative
“Avoid: Writing code that sends telemetry directly to third-party APIs (e.g., sending logs straight to Splunk Cloud, Datadog, or Dynatrace APIs).” Qwen 3.7 Flash · Telemetry pipelines · negative prompt · hard negative
“costs escalate rapidly, with log management and APM billed separately ... making it hard to predict monthly costs” Claude Haiku 4.5 · Infra monitoring · negative prompt · hard negative
“~$2,300+ (very expensive) ... you won't face the "sticker shock" that comes with platforms like Datadog” Kimi K2 · Observability · budget prompt · hard negative
Named alongside
The products named in the same answers as Datadog, over the 664 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.ShowHide
Named alongside
The products named in the same answers as Datadog, over the 664 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.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 585 of the 664 answers that named Datadog and are not a share of its labels.
Domains cited
motadata.com273
newrelic.com210
openobserve.ai164
g2.com163
uptrace.dev143
middleware.io141
coralogix.com123
guideflow.com120
cio.economictimes.indiatimes.com112
learn.g2.com112
1,561 of the 1,561 domain citations in answers naming Datadog came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Datadog stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Datadog stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimatesPosition for “infrastructure monitoring tool”
–
not in the top ten
Position for “infrastructure monitoring tools”
5
- Searches for its name, Google
- 74,000 a month (“datadog”)
- AI search demand for its name, est.
- 3,541 a month
- Organic visits to its site
- about 159,408 a month
- Searches its site ranks for
- 16,399 · 2,593 in the top three
- Sites linking to it
- 24,479
- Paid Google search
- 6 searches its ads show for, about 64 clicks and $633 a month (estimate)
In answers
This editionShare of first choices
28%
rank 1 of 79 in infra monitoring
First choices
95
across its categories
- Named in
- 664 answers
- Its own site cited
- in 585 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on datadoghq.com
10,006
subdomains included
Content
3,054
counted in the table below
Documentation
5,063
Product · Integration
116 · 36
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 2,210 | 9 | 2026-09-25 | ||
| News or press | 269 | 3 | 2026-07-16 | ||
| Report or ebook | 181 | 1 | 2026-07-12 | ||
| Conference or event | 153 | 2 | 2026-09-01 | ||
| Case study | 129 | 17 | 2026-09-09 | ||
| Podcast or video | 74 | undated | |||
| Webinar or virtual event | 30 | 0 | 2026-06-24 | ||
| Comparison | 4 | 1 | 2026-08-19 | ||
| Template or tool | 2 | 0 | 2026-06-25 | ||
| Glossary or explainer | 2 | undated |
Most recent
- 2026-09-25Rum product analytics shopify salesforce blog
- 2026-09-23Rum remote configuration blog
- 2026-09-10How we built datadog experiments blog
- 2026-09-09Getgo case study
- 2026-09-02Monitor prompt caching optimize token usage blog
- 2026-09-01Educause26 conference or event
Events in person
Last twelve months
- August 6, 2026Pathrunner: An AWS Privilege Escalation FrameworkArsenal Station 1, Business Hall · spoke
- August 5, 2026When Queues Become Vulnerabilities: Reverse Engineering GCD, XPC Races, and macOS Detection EngineeringOceanside B, Level 2 · spoke
- August 5, 2026Emulate cloud-native attacks with Stratus Red TeamArsenal Station 1, Business Hall · spoke
- August 5, 2026BewAIre: Detecting Malicious Pull Requests at Scale with LLMsPULSE_STAGE/05 · spoke
- August 4, 2026Datadog x Expel x AWS Security Kickoff ReceptionOle Red Las Vegas · took part
- March 26, 2026Rethinking Vulnerability Backlogs: When CVSS Scores Don’t Match RealityAPP-R03 · spoke
- March 25, 2026Breakfast with OCSFIntercontinental · hosted
- March 24, 2026Building an AI SOC Agent for Insights and Accuracysouth Briefing Center Theater · spoke
- March 24, 2026Drinks and DialogueDelarosa · hosted
- March 24, 2026Cloudflare After DarkSPIN SF · took part
- March 23, 2026Datadog and RapDev Happy HourDelarosa · took part
- March 21, 2026Detecting Race Conditions on MacOSAMC Theatre 07 · spoke
- March 21, 2026Turning the Signal: Threat Detection & Hunting Jam SessionAMC Theatre 01 · spoke
- March 21, 2026The Room Where It Happens (Identity Compromise Edition): Behind the Scenes of Okta Attack CampaignsAMC IMAX · spoke
- March 21, 2026When the Supply Chain Hits a Sour NoteAMC Theatre 10 · spoke
- December 4, 2025Paws & Wine Networking Event APJ / EMEASushi Samba - The Venetian, Las Vegas, USA · took part
- December 3, 2025Women in AI BreakfastGjelina - The Venetian, Las Vegas, USA · took part
- December 3, 2025EMEA BreakfastSpritz - The Venetian, Las Vegas, USA · took part
- December 3, 2025Cocktails & ConversationGjelina - The Venetian, Las Vegas, USA · took part
- December 2, 2025After Hours ReceptionChandelier Bar - The Cosmopolitan, Las Vegas, USA · took part
As the event pages on datadoghq.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page datadoghq.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Datadog
What the judge wrote, as written, with how often. The vendor table decides that these count as Datadog; a claim can dispute any of them.
DataDog 2Datadog (Bits AI & Watchdog) 1Datadog (Browser RUM) 1New Relic/Datadog 1
Follow Datadog
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Datadog is its own company.ShowHide
The company
Datadog is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Cloud Monitoring as a Service; AI-powered observability and security; the integrated platform for monitoring & security.
- For
- developers, IT operations teams and business users
- Price stated
- Subscription pricing varies based on usage. datadoghq.com
- Starting price
- 0 datadoghq.com
- Free plan or trial
- Start a free 14-day trial. datadoghq.com
- Integrations claimed
- 1000 datadoghq.com/pricing
- Certifications
- SOC 2PCIHIPAACCPACSA STARDORAEU-US DPFFedRAMP High
- Hosting
- US (US1, US3, US5)US1-FEDEU1AP1AP2UK1
- Customers named
- LG ElectronicsItaúOpenAIFICOMidJourneyPerplexity AIPorsche InformatikAuth0
What Datadog's own pages state, read September 28, 2026: datadoghq.com, datadoghq.com/pricing, trust.datadoghq.com, datadoghq.com/product, datadoghq.com/customers. A claimed page can correct any of 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.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Datadog by email, built from the raw record of the edition. It shows:
- where Datadog is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Datadog, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.
Badges
Wins only: a badge exists where Datadog is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Datadog is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideInfrastructure monitoring
AI models recommend Datadog first in Infrastructure monitoring this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Observability platforms
Datadog is among the products AI models recommend first in Observability platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
AIOps platforms
Datadog is among the products AI models recommend first in AIOps platforms this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.