Data quality and observability · RankedBigeye
Bigeye is a data quality and data observability product · bigeye.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Metaplane is first at 40%.
Metaplane is first at 23%. 1 of 14 models made it the first choice when asked directly.
Monte Carlo is first at 43%.
Why models recommend it
“Bigeye is the most cited mid-market-friendly option with transparent per-table pricing and auto metric generation.”Muse Glimmer 30B · Direct question · first choice
“Want cross-stack incident detection and lineage? Start with Monte Carlo and Bigeye.”GPT-6 Luna · Comparative question · first choice
“Bigeye or Acceldata for hybrid support and pipeline‑layer visibility.”GLM 4.7 FlashX · Comparative question · first choice
“Mid-market focus | $$$ | SLA-driven monitoring, strong for your size”Kimi K2 · Scale-constrained question · first choice
What gives them pause
“Avoid if on a Tight Budget ... Bigeye (~$45K+/year)”DeepSeek V4 Flash · Budget-constrained question · warning
“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 · Budget-constrained question · warning
“Emerging or niche tools (e.g., older mentions of Bigeye, Acceldata, Databand): These have fewer public complaints but mixed adoption.”Grok 4.20 · Negative question · warning
“Enterprise platforms like Monte Carlo, Acceldata, or Bigeye often cost tens of thousands of dollars per year.”Gemini 3.5 Flash · Budget-constrained question · warning
Also on the shortlist
The products named in the same answers as Bigeye, over the 120 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 112 | 31 | Compare → | |
| 79 | 14 | Compare → | |
| 63 | 22 | Compare → | |
| 62 | 3 | View → | |
| 62 | 3 | Compare → | |
| 56 | 0 | View → | |
| 38 | 2 | View → | |
| 30 | 0 | View → | |
| 30 | 0 | View → | |
| 29 | 5 | Compare → |
What the models named instead of Bigeye →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Bigeye's own site, not checked by Gane.
- For
- large enterprises
- 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
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 111 of the 120 answers that named Bigeye and are not a share of its labels.
Domains cited
288 of the 309 domain citations in answers naming Bigeye came from a third party's page.
Pages cited
Pages are listed as the models cited them.
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 |
What it publishes
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 259 | 0 | 2026-03-24 | Observability, ETL | |
| Glossary or explainer | 190 | undated | ETL, Data catalogs | ||
| Webinar or virtual event | 34 | 2 | 2026-10-01 | ||
| Conference or event | 28 | 1 | 2026-09-23 | ||
| Comparison | 15 | undated | ETL, Observability | ||
| Case study | 11 | 0 | 2026-01-27 | ||
| News or press | 2 | undated | |||
| Podcast or video | 1 | undated |
Most recent
- 2026-10-01Operationalize your data program with bigeye share webinar or virtual event
- 2026-09-23Ai leaders dinner big data london 2026 conference or event
- 2026-08-19Reducing ai agent costs at enterprise scale webinar or virtual event
- 2026-06-17Data ai leaders dinner databricks conference or event
- 2026-06-02Data ai leaders dinner snowflake summit conference or event
- 2026-04-22Data ai leaders dinner data decoded conference or event
Events in person
- September 23, 2026AI Leaders Dinner at Big Data LondonIdalia At Pillar Hall, 5 Olympia Way London W14 0EY, London, United Kingdom · hosted
As the event pages on bigeye.com state them, read October 5, 2026.
How it is countedHide how it is counted
Every page bigeye.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.