Datadog is a cloud monitoring and security platform that brings metrics, logs and traces together for observability across infrastructure and applications · datadoghq.com ↗
The standing depends on who is buying. Every model is asked the same questions for each company size.
Site24x7 is first at 27%.
Ranked first, contested: Zabbix has 23%. 6 of 14 models made it the first choice when asked directly.
Ranked first. Next is Dynatrace at 25%.
“Start with Datadog if your team is already deeply invested in AWS/Azure/GCP ecosystems and you value a rich ecosystem of integrations above all else.”Qwen 3.7 Flash · Direct question · first choice
“Datadog: Excellent for hybrid/cloud-native; strong AI (Watchdog for anomalies), full-stack observability... Scalable and user-friendly.”Grok 4.20 · Scale-constrained question · first choice
“All-in-One Cloud SaaS (Fast Setup) | Datadog | Broadest library of integrations, easy correlation between logs and infrastructure.”Gemini 3.5 Flash · Comparative question · first choice
“my default recommendation would be Datadog if you want the strongest all-around balance of speed to deploy, breadth, and ease of use”GPT-5.4 mini · Paraphrase question · first choice
“Avoid: Writing code that sends telemetry directly to third-party APIs (e.g., sending logs straight to Splunk Cloud, Datadog, or Dynatrace APIs)”Mistral Small · Negative question · warning
“Alternatives to Avoid on Tight Budgets: High-end leaders like Datadog or Splunk excel in features but often lead to bill shock”Grok 4.20 · Budget-constrained question · warning
“Avoid Datadog unless you have enterprise budgets and teams — it's overkill-priced for most mid-market B2B operations.”DeepSeek V4 Flash · Direct question · warning
“High Caution: Datadog ... Surprise billing - Complex, à la carte pricing across 40+ products that compounds unpredictably”Kimi K2 · Negative question · warning
The products named in the same answers as Datadog, over the 692 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 401 | 37 | Compare → | |
| 395 | 41 | View → | |
| 280 | 63 | Compare → | |
| 165 | 0 | View → | |
| 137 | 9 | Compare → | |
| 135 | 10 | Compare → | |
| 116 | 1 | View → | |
| 113 | 35 | Compare → | |
| 106 | 16 | Compare → | |
| 99 | 3 | Compare → |
What the models named instead of Datadog →
A side-by-side page exists where both products are among a category's top eight.
Stated on Datadog's own site, not checked by Gane.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 590 of the 692 answers that named Datadog and are not a share of its labels.
1,229 of the 1,229 domain citations in answers naming Datadog came from a third party's page.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 4 | 8 | 2 | 16 |
| GPT-5.4 mini | 3 | 4 | 3 | 1 | 11 |
| Gemini 3.5 Flash | 5 | 2 | 2 | 7 | 16 |
| Perplexity Sonar | 7 | 2 | 3 | 4 | 16 |
| Grok 4.20 | 5 | 6 | 2 | 9 | 22 |
| Mistral Small | 3 | 1 | 6 | 4 | 14 |
| DeepSeek V4 Flash | 4 | 3 | 2 | 8 | 17 |
| Llama 4 Maverick | 3 | 0 | 7 | 3 | 13 |
| Qwen 3.7 Flash | 6 | 7 | 2 | 6 | 21 |
| Kimi K2 | 2 | 3 | 5 | 9 | 19 |
| GLM 4.7 FlashX | 4 | 5 | 4 | 7 | 20 |
| MiniMax M2.5 | 1 | 6 | 5 | 2 | 14 |
| GPT-6 Luna | 4 | 2 | 4 | 3 | 13 |
| Muse Glimmer 30B | 5 | 0 | 4 | 6 | 15 |
| 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 |
As the event pages on datadoghq.com state them, read September 28, 2026.
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.