| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Log management | IT operations and endpoint | 28% | 1 of 73 | 31% | 64 | criticized challenger | ▲+8Since September 2026: 20% → 28%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Logs | 20% | 28% | ▲+8Since September 2026: 20% → 28%, +8 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 73, 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 2 | 1 | 4 |
| GPT-5.4 mini | 2 | 1 | 0 | 2 | 5 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 4 | 6 |
| Perplexity Sonar | 1 | 1 | 1 | 0 | 3 |
| Grok 4.20 | 2 | 0 | 2 | 2 | 6 |
| Mistral Small | 2 | 1 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 2 | 1 | 0 | 3 | 6 |
| Llama 4 Maverick | 1 | 1 | 2 | 0 | 4 |
| Qwen 3.7 Flash | 1 | 2 | 1 | 1 | 5 |
| Kimi K2 | 0 | 0 | 2 | 4 | 6 |
| GLM 4.7 FlashX | 2 | 0 | 1 | 1 | 4 |
| MiniMax M2.5 | 0 | 3 | 1 | 0 | 4 |
| GPT-6 Luna | 0 | 2 | 1 | 1 | 4 |
| Muse Glimmer 30B | 2 | 0 | 1 | 1 | 4 |
Verbatim evidence the judge attached to positive labels.
“I'd generally recommend Datadog Logs if you want the best balance of ease of use, broad integrations, and fast time-to-value.” GPT-5.4 mini · Logs · paraphrase prompt · first choice
“I'd suggest Datadog or ELK Stack as starting points—Datadog if you want simplicity and support” Claude Haiku 4.5 · Logs · paraphrase prompt · first choice
“The best log management platform for a mid-market B2B company is likely to be Datadog Log Management” Llama 4 Maverick · Logs · direct prompt · first choice
“If you want the easiest path and can afford the recurring cost: Go with Datadog.” GLM 4.7 FlashX · Logs · paraphrase prompt · first choice
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.
“Usually not the best for a limited budget: Splunk and often Datadog, because costs tend to rise quickly” GPT-5.4 mini · Logs · budget prompt · hard negative
“Avoid for Tight Budgets: Splunk/Datadog (enterprise pricing starts $100s/mo post-trial).” Grok 4.20 · Logs · budget prompt · hard negative
“Avoid: Datadog, Splunk, and Sumo Logic for tight budgets” DeepSeek V4 Flash · Logs · budget prompt · hard negative
“Datadog - Costs scale rapidly with usage” Kimi K2 · Logs · budget prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 173 of the 195 answers that named Datadog Log Management and are not a share of its labels.
603 of the 603 domain citations in answers naming Datadog Log Management came from somebody else's page.
Pages are listed as the models cited them.
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.
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.
What Datadog Log Management's own pages state, read September 28, 2026: datadoghq.com/logs/log-analysis, datadoghq.com/ja/log-management, datadoghq.com/logs/log-monitoring, datadoghq.com/logs/logging-platform, datadoghq.com/product/log-management. A claimed page can correct any of them.
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 Log Management'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 Log Management, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Datadog Log Management by email, built from the raw record of the edition. It shows:
AI models recommend Datadog Log Management first in Log management 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.
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.