# Application performance monitoring for enterprise buyers: what AI models recommend, September 2026

IT AI Recommendation Index, September 2026 Edition. Asked as "APM tool" and as "application performance monitoring solution", six framings each, to twelve models with search on, on behalf of an enterprise B2B company. Page: https://it-ai-index.com/operations/application-performance-monitoring/enterprise/

**Standing:** Dynatrace leads with 46% of first choices; verdict clear leader. 46 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | Dynatrace | 46% | 21% | 62 |
| 2 | Datadog | 26% | 29% | 58 |
| 3 | New Relic | 11% | 12% | 59 |
| 4 | CubeAPM | 9% | 0% | 10 |
| 5 | AppDynamics | 2% | 24% | 41 |
| 6 | Grafana Cloud | 0% | 0% | 12 |
| 7 | IBM Instana | 0% | 8% | 12 |
| 8 | Elastic APM | 0% | 8% | 12 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: Datadog; alternatives AppDynamics, Dynatrace, New Relic
- GPT-5.4 mini: Dynatrace; alternatives Datadog, New Relic
- Gemini 3.5 Flash: Dynatrace; alternatives Chronosphere, Datadog, Grafana Labs, New Relic
- Perplexity Sonar: Dynatrace; alternatives AppDynamics, Datadog, New Relic
- Grok 4.1 Fast: Datadog, Dynatrace; alternatives AppDynamics, New Relic
- Mistral Small: Datadog, Dynatrace; alternatives AppDynamics, New Relic
- DeepSeek V4 Flash: Datadog; alternatives Dynatrace, New Relic
- Llama 4 Maverick: no first choice
- Qwen 3.7 Flash: Datadog, Dynatrace; alternatives AppDynamics, New Relic
- Kimi K2: Dynatrace; alternatives Datadog, New Relic
- GLM 4.7 FlashX: Datadog, Dynatrace; alternatives Grafana Stack, New Relic
- MiniMax M2.5: Datadog APM, Dynatrace; alternatives Elastic APM, New Relic, Splunk APM

## Sources the answers cite

66 of 72 answers came back with a source list, from 12 of 12 models. Sites named in the most answers:

- newrelic.com: 39 answers, 61 citations
- cubeapm.com: 28 answers, 52 citations
- ardura.consulting: 23 answers, 23 citations
- rollbar.com: 23 answers, 23 citations
- atatus.com: 20 answers, 20 citations
- manageengine.com: 18 answers, 22 citations
- middleware.io: 18 answers, 20 citations
- instatus.com: 18 answers, 18 citations

Pages named in the most answers:

- https://ardura.consulting/blog/apm-tools-comparison-2026 (23 answers)
- https://cubeapm.com/blog/top-apm-tools-features-pricing-usecases (23 answers)
- https://newrelic.com/blog/apm/application-performance-monitoring-tools (23 answers)
- https://newrelic.com/blog/observability/enterprise-apm (23 answers)
- https://rollbar.com/blog/best-apm-tools (23 answers)
- https://instatus.com/blog/apm-tools (18 answers)
- https://middleware.io/blog/apm-tools (18 answers)
- https://reveillesoftware.com/blog/blog/14-best-application-performance-monitoring-apm-tools-2024 (18 answers)
- https://atatus.com/guides/best-apm-tools-for-enterprises (17 answers)
- https://openobserve.ai/blog/top-10-apm-tools (16 answers)

## Warned against

- Datadog: 17 of 58 labels negative. "Notorious for "bill shock": Invoices commonly run 3-12× higher than initial estimates ... Datadog's billing practices and AppDynamics' post-acquisition decline represent the highest current risks" (Kimi K2, negative prompt)
- Dynatrace: 13 of 62 labels negative. "it is also noted for being the most expensive commercial APM at scale and having a monolithic agent model that may conflict with teams that want fine-grained control" (Llama 4 Maverick, negative prompt)
- AppDynamics: 10 of 41 labels negative. "Avoid these if your enterprise is actively migrating to Kubernetes, multi-cloud environments, or serverless workloads." (Gemini 3.5 Flash, negative prompt)
- New Relic: 7 of 59 labels negative. "your seat bill alone will quickly spiral into millions of dollars... However, be aware that forecasting CCUs is more complex" (Gemini 3.5 Flash, budget prompt)

## Record

- Method: https://it-ai-index.com/methodology/
- Raw judge labels and full responses: https://it-ai-index.com/data/
- License: CC BY 4.0. Cite as IT AI Recommendation Index, September 2026 Edition, it-ai-index.com.