# Honeycomb: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 50 judge labels across 5 categories by 14 of 14 models. Page: https://www.gane.ai/index/it/vendors/honeycomb

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Observability platforms](https://www.gane.ai/index/it/operations/observability-platforms/index.md) | 2% | 6 | 0% | 29 |
| [Application performance monitoring](https://www.gane.ai/index/it/operations/application-performance-monitoring/index.md) | 0% | 13 | 9% | 11 |
| [Telemetry pipelines](https://www.gane.ai/index/it/operations/telemetry-pipelines/index.md) | 0% | 20 | 0% | 8 |
| [Error and crash monitoring](https://www.gane.ai/index/it/developer/error-and-crash-monitoring/index.md) | 0% | 28 | 0% | 1 |
| [Infrastructure monitoring](https://www.gane.ai/index/it/operations/infrastructure-monitoring/index.md) | 0% | 41 | 0% | 1 |

## What the models said for it

- "I'd suggest Grafana Cloud or Honeycomb as the starting point" (Kimi K2, Observability)
- "For High-Cardinality & Developer-Centric APM: Honeycomb (predictable event-based pricing, excellent for distributed tracing)" (Gemini 3.5 Flash, Observability)
- "The Engineering-First Choice: Honeycomb ... Trade-off: It lacks some of the "batteries included" infrastructure features" (Qwen 3.7 Flash, Observability)
- "Overkill for small teams, but excellent for solving complex, intermittent latency issues in large-scale architectures." (Qwen 3.7 Flash, Telemetry pipelines)

## And against it

- "be cautious about Datadog/New Relic/Honeycomb when cost predictability or data residency dominates" (Perplexity Sonar, APM)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 2 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 7 | 1 | 0 | 8 |
| Perplexity Sonar | 0 | 3 | 0 | 1 | 4 |
| Grok 4.20 | 0 | 1 | 5 | 0 | 6 |
| Mistral Small | 0 | 0 | 2 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 1 | 0 | 3 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 4 | 0 | 0 | 4 |
| Kimi K2 | 1 | 3 | 2 | 0 | 6 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 1 | 3 | 0 | 4 |
| Muse Glimmer 30B | 0 | 0 | 4 | 0 | 4 |

## Sources returned with these answers

The sites and pages cited by the answers that named Honeycomb, from 105 of the 140 answers that named it (only the models that return a source list).

### Domains cited

- newrelic.com: 43
- grafana.com: 30
- honeycomb.io: 28 (its own site)
- github.com: 27
- coralogix.com: 26
- dotcom-monitor.com: 23
- splunk.com: 20
- g2.com: 19
- sherlocks.ai: 19
- atatus.com: 17

### Pages cited

- https://dotcom-monitor.com/blog/best-observability-tools: 17
- https://sherlocks.ai/blog/how-to-choose-observability-platform-2026: 16
- https://coralogix.com/guides/observability/observability-platforms: 14
- https://last9.io/blog/best-observability-tools: 14
- https://honeycomb.io/pricing: 11
- https://newrelic.com/blog/observability/enterprise-apm: 11
- https://g2.com/articles/best-observability-tools: 10
- https://netdata.cloud/resources/best-application-performance-monitoring-tools: 10

## In its own words

What Honeycomb's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: AI-Ready Observability Platform (https://honeycomb.io/)
- For: Engineering teams (https://honeycomb.io/)
- Price stated: Free, Pro, and Enterprise (https://www.honeycomb.io/pricing)
- Starting price: 150 (https://www.honeycomb.io/pricing)
- Free plan or trial: Start for free (https://honeycomb.io/)
- Integrations claimed: 40 (https://www.honeycomb.io/platform)
- Certifications: SOC 2 Type II, GDPR, HIPAA, EU-US DPF, UK Extension to EU-US DPF, Swiss-US DPF, CCPA
- Customers named: Slack, Intercom, Dropbox, Homeaglow, HiPages, Zeta Global, Fenris Creations, tastytrade

## What it publishes

Every page honeycomb.io exposes, read 2026-09-29: 1826 addresses. By kind, pages and the last 90 days:

- blog: 718 pages, 27 in the last 90 days, latest 2026-09-21
- case study: 58 pages, 3 in the last 90 days, latest 2026-08-06
- webinar or virtual event: 78 pages, 2 in the last 90 days, latest 2026-08-26
- conference or event: 77 pages, 13 in the last 90 days, latest 2026-09-25
- report or ebook: 49 pages, 1 in the last 90 days, latest 2026-07-08
- comparison: 15 pages, 3 in the last 90 days, latest 2026-09-08
- template or tool: 1 pages, 0 in the last 90 days, latest 2024-09-20
- glossary or explainer: 16 pages, 1 in the last 90 days, latest 2026-08-17
- podcast or video: 73 pages, 2 in the last 90 days, latest 2026-09-03
- news or press: 4 pages, 0 in the last 90 days, latest 2026-03-12
- Recent: 2026-09-25 conference or event: Battleshipsforjackhenry https://www.honeycomb.io/events/battleshipsforjackhenry
- Recent: 2026-09-21 blog: How adaptive tail sampling works https://www.honeycomb.io/blog/how-adaptive-tail-sampling-works
- Recent: 2026-09-14 blog: How canvas powers ai agent development feedback loop https://www.honeycomb.io/blog/how-canvas-powers-ai-agent-development-feedback-loop
- Recent: 2026-09-11 conference or event: Ai in finance fall https://www.honeycomb.io/events/ai-in-finance-fall
- Recent: 2026-09-09 blog: Ai norms values part 3 things we hold true https://www.honeycomb.io/blog/ai-norms-values-part-3-things-we-hold-true
- Recent: 2026-09-08 comparison: Wide events vs three pillars ai observability costs https://www.honeycomb.io/blog/wide-events-vs-three-pillars-ai-observability-costs

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.