# Collibra Data Quality & Observability: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 16 judge labels across 1 category by 11 of 14 models. Page: https://www.gane.ai/index/it/vendors/collibra-data-quality-observability

## 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) | 0% | 33 | 31% | 16 |

## What the models said for it

- "Alternatives with fewer red flags: Tools like Anomalo or Collibra sometimes get mentioned positively for governance" (Grok 4.20, Data observability)
- "Choose Collibra or Atlan when the central problem is ownership and governance of quality signals." (Perplexity Sonar, Data observability)
- "OvalEdge and Collibra lead for enterprises that need governance and quality unified in one platform" (Claude Haiku 4.5, Data observability)
- "Governance-first orgs that need quality tied to policy enforcement" (Qwen 3.7 Flash, Data observability)

## And against it

- "What I'd Avoid for Mid-Sized B2B | Informatica / Collibra / SAP / Oracle" (Kimi K2, Data observability)
- "Avoid pure enterprise tools (e.g., Acceldata, Collibra)" (Grok 4.20, Data observability)
- "Avoid buying them solely for lightweight monitoring." (Perplexity Sonar, Data observability)
- "Implementation and licensing are enterprise-grade and could be overkill for small teams" (Claude Haiku 4.5, 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 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.20 | 0 | 1 | 1 | 1 | 3 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |

## Sources returned with these answers

The sites and pages cited by the answers that named Collibra Data Quality & Observability, from 39 of the 41 answers that named it (only the models that return a source list).

### Domains cited

- research.isg-one.com: 21
- atlan.com: 13
- g2.com: 13
- datakitchen.io: 12
- acceldata.io: 9
- ciopages.com: 9
- kanerika.com: 9
- ovaledge.com: 9
- integrate.io: 8
- montecarlo.ai: 8

### Pages cited

- https://research.isg-one.com/buyers-guide/analytics_and_data/data_observability/2024: 17
- https://research.isg-one.com/market-perspectives/isg-buyers-guide-for-data-observability-classifies-and-rates-software-providers: 12
- https://atlan.com/know/data-observability-tools: 9
- https://ciopages.com/buyer-guides/data-quality-observability: 9
- https://kanerika.com/blogs/data-observability-tools: 9
- https://synq.io/blog/the-10-best-data-observability-tools-in-2025: 7
- https://algoscale.com/data-engineering/best-data-observability-tools: 6
- https://integrate.io/blog/top-data-observability-tools: 6

## In its own words

What Collibra Data Quality & Observability's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: Connect to your data ecosystem with 100+ out-of-the-box integrations. (https://www.collibra.com/products/integrations-apis/integrations)
- Integrations claimed: 100 (https://www.collibra.com/products/integrations-apis/integrations)
- Certifications: SOC 1, SOC 2, ISO 27001, ISO 27017, ISO 27018, ISO 42001, FedRAMP, ITAR
- Customers named: SAP, McDonald’s, Toyota Motor Europe, HEINEKEN, L’Oréal

## What it publishes

Every page collibra.com exposes, read 2026-10-05: 5469 addresses. By kind, pages and the last 90 days:

- blog: 911 pages, 0 in the last 90 days, latest undated
- case study: 41 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 6 pages, 1 in the last 90 days, latest 2026-08-12
- conference or event: 241 pages, 0 in the last 90 days, latest undated
- report or ebook: 5 pages, 0 in the last 90 days, latest 2026-03-10
- comparison: 5 pages, 2 in the last 90 days, latest 2026-09-10
- template or tool: 7 pages, 0 in the last 90 days, latest 2026-06-30
- glossary or explainer: 33 pages, 0 in the last 90 days, latest 2026-06-17
- podcast or video: 59 pages, 2 in the last 90 days, latest 2026-08-04
- news or press: 53 pages, 0 in the last 90 days, latest undated
- Recent: 2026-09-10 comparison: Context vs control why you need both https://www.collibra.com/blog/context-vs-control-why-you-need-both
- Recent: 2026-08-12 webinar or virtual event: Data lineage read apis mcp server lineage on demand https://www.collibra.com/blog/data-lineage-read-apis-mcp-server-lineage-on-demand
- Recent: 2026-08-05 comparison: Data sharing agreements vs data contracts two different promises around data https://www.collibra.com/blog/data-sharing-agreements-vs-data-contracts-two-different-promises-around-data
- Recent: 2026-08-04 podcast or video: Foundations for fast ai deployment in telecommunications https://www.collibra.com/podcasts/foundations-for-fast-ai-deployment-in-telecommunications
- Recent: 2026-07-28 podcast or video: From catching up to leading why ai governance must think five steps ahead https://www.collibra.com/podcasts/from-catching-up-to-leading-why-ai-governance-must-think-five-steps-ahead
- Recent: 2026-06-30 template or tool: Ai audit readiness a checklist for models agents and your first ai audit https://www.collibra.com/blog/ai-audit-readiness-a-checklist-for-models-agents-and-your-first-ai-audit

## 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.