| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| AIOps platforms | IT operations and endpoint | 13% | 3 of 93 | 27% | 49 | criticized challenger | |
| Application performance monitoring | IT operations and endpoint | 2% | 11 of 66 | 48% | 50 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Observability platforms | IT operations and endpoint | 2% | 7 of 80 | 28% | 40 | criticized challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Infrastructure monitoring | IT operations and endpoint | 0% | 69 of 79 | 45% | 38 | criticized challenger | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Website and synthetic monitoring | IT operations and endpoint | 0% | 59 of 67 | 47% | 19 | criticized challenger | |
| Log management | IT operations and endpoint | 0% | 30 of 73 | 25% | 8 | under 10 labels · led by Datadog Log Management at 28% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Network monitoring and management | Network and edge | 0% | 19 of 78 | 14% | 7 | under 10 labels · led by Auvik at 26% | |
| Telemetry pipelines | IT operations and endpoint | 0% | 122 of 124 | 71% | 7 | under 10 labels · led by OpenTelemetry Collector at 37% | |
| Data quality and observability | Data platform | 0% | 95 of 110 | 50% | 2 | under 10 labels · led by Metaplane at 31% | |
| Error and crash monitoring | Developer platform | 0% | 41 of 42 | 100% | 2 | under 10 labels · led by Sentry at 76% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Time series databases | Data platform | 0% | 27 of 66 | 0% | 1 | under 10 labels · led by TimescaleDB at 63% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 2 | 2 | 5 | 5 | 14 |
| GPT-5.4 mini | 2 | 9 | 1 | 2 | 14 |
| Gemini 3.5 Flash | 0 | 4 | 3 | 15 | 22 |
| Perplexity Sonar | 1 | 5 | 3 | 3 | 12 |
| Grok 4.20 | 1 | 6 | 7 | 12 | 26 |
| Mistral Small | 2 | 2 | 8 | 3 | 15 |
| DeepSeek V4 Flash | 1 | 1 | 6 | 7 | 15 |
| Llama 4 Maverick | 1 | 3 | 6 | 2 | 12 |
| Qwen 3.7 Flash | 2 | 7 | 4 | 10 | 23 |
| Kimi K2 | 2 | 3 | 4 | 11 | 20 |
| GLM 4.7 FlashX | 2 | 2 | 4 | 4 | 12 |
| MiniMax M2.5 | 1 | 3 | 3 | 6 | 13 |
| GPT-6 Luna | 1 | 2 | 2 | 1 | 6 |
| Muse Glimmer 30B | 3 | 5 | 7 | 4 | 19 |
Verbatim evidence the judge attached to positive labels.
“Choose Dynatrace if: You want a "all-in-one" solution where you don't need third-party monitors, and you require automated code-level root cause identification.” Qwen 3.7 Flash · AIOps · comparative prompt · first choice
“Dynatrace and BigPanda are often recommended due to their scalability, ease of integration, and strong noise reduction features” Mistral Small · AIOps · paraphrase prompt · first choice
“Dynatrace is the best overall AIOps platform due to its robust features, strong user ratings, and suitability for mid-market needs” Mistral Small · AIOps · direct prompt · first choice
“A practical starting point for most mid-market B2B companies is to trial Dynatrace or Datadog/New Relic for observability-first AIOps” Muse Glimmer 30B · AIOps · direct 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.
“Platforms to Avoid (For Now) ... Dynatrace is exceptionally precise, but its premium pricing and complex configuration require dedicated platform engineering teams” Gemini 3.5 Flash · AIOps · direct 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
“Verdict: Avoid unless you are a large enterprise with a dedicated Site Reliability Engineering (SRE) team” Qwen 3.7 Flash · APM · negative prompt · hard negative
“Dynatrace is expensive at scale ... Memory-based pricing is unintuitive and budget-hostile” Claude Haiku 4.5 · Infra monitoring · negative 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 700 of the 769 answers that named Dynatrace and are not a share of its labels.
1,910 of the 1,910 domain citations in answers naming Dynatrace 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.
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| News or press | 1,870 | 65 | 2026-09-25 | ||
| Report or ebook | 424 | 20 | 2026-09-28 | ||
| Webinar or virtual event | 168 | 20 | 2026-09-25 | ||
| Case study | 131 | 19 | 2026-09-28 | ||
| Blog | 98 | 39 | 2026-09-28 | ||
| Conference or event | 54 | 10 | 2026-09-28 | ||
| Glossary or explainer | 34 | 4 | 2026-09-23 | ||
| Comparison | 23 | 6 | 2026-09-09 | ||
| Template or tool | 1 | undated |
As the event pages on dynatrace.com state them, read September 28, 2026.
Every page dynatrace.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.
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 Dynatrace's own pages state, read September 28, 2026: dynatrace.com, dynatrace.com/pricing, trust.dynatrace.com, dynatrace.com/platform, dynatrace.com/customers. 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 Dynatrace'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 Dynatrace, 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 Dynatrace by email, built from the raw record of the edition. It shows:
Dynatrace 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.
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.