# Application performance monitoring for small business 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 a small B2B company. Page: https://it-ai-index.com/operations/application-performance-monitoring/smb/

**Standing:** New Relic leads with 51% of first choices; verdict clear leader. 47 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | New Relic | 51% | 3% | 61 |
| 2 | Datadog | 15% | 62% | 53 |
| 3 | SigNoz | 11% | 3% | 29 |
| 4 | Sentry | 6% | 13% | 31 |
| 5 | Scout APM | 4% | 0% | 19 |
| 6 | Site24x7 | 2% | 0% | 15 |
| 7 | Honeycomb | 2% | 0% | 11 |
| 8 | Grafana Cloud | 2% | 18% | 17 |
| 9 | AppSignal | 0% | 0% | 19 |
| 10 | Elastic APM | 0% | 8% | 12 |
| 11 | AppDynamics | 0% | 80% | 20 |
| 12 | Dynatrace | 0% | 77% | 31 |

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

- Claude Haiku 4.5: no first choice
- GPT-5.4 mini: New Relic; alternatives Grafana Cloud
- Gemini 3.5 Flash: Sentry; alternatives AppSignal, New Relic, SigNoz
- Perplexity Sonar: New Relic; alternatives AppSignal, Datadog, Grafana Cloud, LogRocket
- Grok 4.1 Fast: New Relic; alternatives SigNoz, Site24x7
- Mistral Small: Datadog, New Relic; alternatives AppSignal, OpenObserve
- DeepSeek V4 Flash: Scout APM; alternatives AppSignal, Atatus
- Llama 4 Maverick: Datadog; alternatives Dynatrace, New Relic, SolarWinds AppOptics
- Qwen 3.7 Flash: New Relic; alternatives Datadog, Grafana, Honeycomb, SigNoz
- Kimi K2: New Relic; alternatives Grafana Cloud, Honeycomb, SigNoz, Site24x7
- GLM 4.7 FlashX: New Relic; alternatives Grafana Cloud, Sentry, SigNoz
- MiniMax M2.5: Datadog, Site24x7; alternatives New Relic, Scouter, Stagemonitor

## Sources the answers cite

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

- g2.com: 38 answers, 66 citations
- newrelic.com: 36 answers, 62 citations
- cubeapm.com: 27 answers, 36 citations
- rollbar.com: 27 answers, 27 citations
- scoutapm.com: 26 answers, 50 citations
- openobserve.ai: 26 answers, 27 citations
- reveillesoftware.com: 26 answers, 26 citations
- instatus.com: 25 answers, 27 citations

Pages named in the most answers:

- https://rollbar.com/blog/best-apm-tools (27 answers)
- https://g2.com/categories/application-performance-monitoring-apm/small-business (26 answers)
- https://reveillesoftware.com/blog/blog/14-best-application-performance-monitoring-apm-tools-2024 (26 answers)
- https://cubeapm.com/blog/top-apm-tools-features-pricing-usecases (25 answers)
- https://instatus.com/blog/apm-tools (25 answers)
- https://drizz.dev/post/apm-tools (24 answers)
- https://openobserve.ai/blog/top-10-apm-tools (24 answers)
- https://newrelic.com/blog/apm/application-performance-monitoring-tools (23 answers)
- https://scoutapm.com/blog/best-apm-for-small-teams-2026 (23 answers)
- https://smallbusinesscomputing.com/guides/top-apm-tools (21 answers)

## Warned against

- Dynatrace: 24 of 31 labels negative. "Tools to Avoid or Approach with Caution: Dynatrace: Frequently called out as enterprise-focused and "overkill" for startups/SMBs" (Grok 4.1 Fast, negative prompt)
- AppDynamics: 16 of 20 labels negative. "then AppDynamics and Instana — mainly because of usage-based pricing blowups, enterprise-oriented licensing models" (DeepSeek V4 Flash, negative prompt)
- Datadog: 33 of 53 labels negative. "Tools to Avoid or Be Cautious About ... Datadog - Biggest concern: Usage-based pricing can skyrockets unexpectedly" (MiniMax M2.5, negative prompt)
- Sentry: 4 of 31 labels negative. "Sentry, which is considered expensive for small projects, with limited plan options and high entry costs." (Llama 4 Maverick, negative 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.