# Bigeye: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 40 judge labels across 1 category by 13 of 14 models. Page: https://www.gane.ai/index/it/vendors/bigeye

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data quality and observability](https://www.gane.ai/index/it/it-data/data-quality-and-observability/index.md) | 4% | 6 | 28% | 40 |

## What the models said for it

- "Bigeye is the most cited mid-market-friendly option with transparent per-table pricing and auto metric generation." (Muse Glimmer 30B, Data observability)
- "Want cross-stack incident detection and lineage? Start with Monte Carlo and Bigeye." (GPT-6 Luna, Data observability)
- "Bigeye or Acceldata for hybrid support and pipeline‑layer visibility." (GLM 4.7 FlashX, Data observability)
- "Mid-market focus | $$$ | SLA-driven monitoring, strong for your size" (Kimi K2, Data observability)

## And against it

- "Avoid if on a Tight Budget ... Bigeye (~$45K+/year)" (DeepSeek V4 Flash, Data observability)
- "can be a good fit, but it is positioned as an enterprise-grade platform; its docs and vendor materials emphasize enterprise use cases more than budget-first adoption" (GPT-5.4 mini, Data observability)
- "Emerging or niche tools (e.g., older mentions of Bigeye, Acceldata, Databand): These have fewer public complaints but mixed adoption." (Grok 4.20, Data observability)
- "Enterprise platforms like Monte Carlo, Acceldata, or Bigeye often cost tens of thousands of dollars per year." (Gemini 3.5 Flash, Data observability)

## By model

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

## Sources returned with these answers

The sites and pages cited by the answers that named Bigeye, from 111 of the 120 answers that named it (only the models that return a source list).

### Domains cited

- research.isg-one.com: 60
- g2.com: 47
- datakitchen.io: 35
- montecarlo.ai: 28
- kanerika.com: 26
- atlan.com: 24
- algoscale.com: 23
- metaplane.dev: 23
- getorchestra.io: 22
- bigeye.com: 21 (its own site)

### Pages cited

- https://research.isg-one.com/buyers-guide/analytics_and_data/data_observability/2024: 49
- https://research.isg-one.com/market-perspectives/isg-buyers-guide-for-data-observability-classifies-and-rates-software-providers: 27
- https://kanerika.com/blogs/data-observability-tools: 26
- https://algoscale.com/data-engineering/best-data-observability-tools: 23
- https://atlan.com/know/data-observability-tools: 21
- https://datamation.com/big-data/data-observability-tools: 18
- https://research.oz.spotlightar.com/reports/magic-quadrant-observability-platforms-2024/leaders: 18
- https://ciopages.com/buyer-guides/data-quality-observability: 17

## In its own words

What Bigeye's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: Bigeye is the data and AI trust platform for large enterprises. (https://bigeye.com/)
- For: large enterprises (https://bigeye.com/)
- Certifications: EU AI Act, ISO 42001, SOC 2 Type II, ISO 27001
- Hosting: AWS
- Customers named: NOV, Freedom Mortgage, Zoom, Udacity, JustAnswer, SimpleRose, Impira, Crux

## What it publishes

Every page bigeye.com exposes, read 2026-10-05: 1159 addresses. By kind, pages and the last 90 days:

- blog: 259 pages, 0 in the last 90 days, latest 2026-03-24
- case study: 11 pages, 0 in the last 90 days, latest 2026-01-27
- webinar or virtual event: 34 pages, 2 in the last 90 days, latest 2026-10-01
- conference or event: 28 pages, 1 in the last 90 days, latest 2026-09-23
- comparison: 15 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 190 pages, 0 in the last 90 days, latest undated
- podcast or video: 1 pages, 0 in the last 90 days, latest undated
- news or press: 2 pages, 0 in the last 90 days, latest undated
- Recent: 2026-10-01 webinar or virtual event: Operationalize your data program with bigeye share https://www.bigeye.com/webinars/operationalize-your-data-program-with-bigeye-share
- Recent: 2026-09-23 conference or event: Ai leaders dinner big data london 2026 https://www.bigeye.com/events/ai-leaders-dinner-big-data-london-2026
- Recent: 2026-08-19 webinar or virtual event: Reducing ai agent costs at enterprise scale https://www.bigeye.com/webinars/reducing-ai-agent-costs-at-enterprise-scale
- Recent: 2026-06-17 conference or event: Data ai leaders dinner databricks https://www.bigeye.com/events/data-ai-leaders-dinner-databricks
- Recent: 2026-06-02 conference or event: Data ai leaders dinner snowflake summit https://www.bigeye.com/events/data-ai-leaders-dinner-snowflake-summit
- Recent: 2026-04-22 conference or event: Data ai leaders dinner data decoded https://www.bigeye.com/events/data-ai-leaders-dinner-data-decoded

## 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.