# HyperDX: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 2 judge labels across 2 categories by 1 of 14 models. Page: https://www.gane.ai/index/it/vendors/hyperdx

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Observability platforms](https://www.gane.ai/index/it/operations/observability-platforms/index.md) | 0% | 31 | 0% | 1 |
| [Telemetry pipelines](https://www.gane.ai/index/it/operations/telemetry-pipelines/index.md) | 0% | 43 | 0% | 1 |

## What the models said for it

- "HyperDX or SigNoz (Cloud): Developer-friendly, open-source-first platforms that offer low-cost startup tiers" (Gemini 3.5 Flash, Telemetry pipelines)
- "SigNoz / HyperDX (ClickHouse-backed unified observability)" (Gemini 3.5 Flash, Observability)

## By model

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

## Sources returned with these answers

The sites and pages cited by the answers that named HyperDX, from 3 of the 8 answers that named it (only the models that return a source list).

### Domains cited

- reddit.com: 3
- struct.ai: 3
- apica.io: 2
- atlan.com: 2
- datakitchen.io: 2
- github.com: 2
- groundcover.com: 2
- kanerika.com: 2
- tracekit.dev: 2
- algoscale.com: 1

### Pages cited

- https://struct.ai/articles/cheaper-datadog-competitors-startups: 3
- https://apica.io/blog/how-to-choose-the-best-observability-tools: 2
- https://datakitchen.io/answers/best-free-open-source-data-quality-observability-tools-2026: 2
- https://datakitchen.io/answers/lowest-overhead-data-monitoring-for-startups: 2
- https://github.com/openobserve/openobserve: 2
- https://groundcover.com/guides/observability-platforms-cost-predictability: 2
- https://kanerika.com/blogs/data-observability-tools: 2
- https://reddit.com/r/devops/comments/13luhnt/what_are_good_options_for_observability_for_tiny: 2

## In its own words

What HyperDX's own pages state, read 2026-10-06. Stated by the vendor, not checked by the index.

- Positioning: Affordable full-stack production debugging & monitoring. (https://hyperdx.io/)
- For: high-velocity engineering teams (https://hyperdx.io/)
- Price stated: $0.40 per GB
$0 per User
$0 per Host (https://hyperdx.io/)
- Starting price: 0.40 (https://hyperdx.io/)
- Free plan or trial: Get Started for Free (https://hyperdx.io/)
- Certifications: SOC 2 Type II

## What it publishes

Every page hyperdx.io exposes, read 2026-10-05: 1 addresses. By kind, pages and the last 90 days:


## 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.