# Great Expectations: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 37 judge labels across 2 categories by 13 of 14 models. Page: https://www.gane.ai/index/it/vendors/great-expectations

## 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% | 5 | 22% | 36 |
| [ETL and ELT](https://www.gane.ai/index/it/it-data/etl-and-elt/index.md) | 0% | 59 | 0% | 1 |

## What the models said for it

- "Best ultra-budget option: Great Expectations or Soda Core for basic data quality checks" (GPT-5.4 mini, Data observability)
- "Start with GX Core or Soda Core for data quality testing" (MiniMax M2.5, Data observability)
- "Best if the company has strong Python engineering skills and wants an open-source, highly customizable framework; however, the team must manage deployment" (Perplexity Sonar, Data observability)
- "Great Expectations and Soda Core lead for data engineering teams that embed validation in CI/CD pipelines" (Claude Haiku 4.5, Data observability)

## And against it

- "Best avoided if you need real-time monitoring or handle large datasets, due to scalability limitations." (Mistral Small, Data observability)
- "Open-source data quality engines (like Great Expectations or Soda) ... self-hosting and maintaining them at scale requires significant engineering bandwidth." (Gemini 3.5 Flash, Data observability)
- "Steep setup for production... documentation gaps for advanced use cases... Some users abandon it for custom solutions" (Grok 4.20, Data observability)
- "great as an open-source testing framework, but be cautious if you expect a turnkey observability product" (GPT-5.4 mini, Data observability)

## By model

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

## Sources returned with these answers

The sites and pages cited by the answers that named Great Expectations, from 85 of the 95 answers that named it (only the models that return a source list).

### Domains cited

- research.isg-one.com: 37
- g2.com: 33
- datakitchen.io: 27
- atlan.com: 22
- datastackindex.com: 22
- algoscale.com: 21
- montecarlo.ai: 20
- kanerika.com: 18
- metaplane.dev: 18
- ciopages.com: 15

### Pages cited

- https://research.isg-one.com/buyers-guide/analytics_and_data/data_observability/2024: 28
- https://algoscale.com/data-engineering/best-data-observability-tools: 21
- https://atlan.com/know/data-observability-tools: 17
- https://kanerika.com/blogs/data-observability-tools: 17
- https://research.isg-one.com/market-perspectives/isg-buyers-guide-for-data-observability-classifies-and-rates-software-providers: 17
- https://ciopages.com/buyer-guides/data-quality-observability: 13
- https://dotcom-monitor.com/blog/best-observability-tools: 11
- https://g2.com/categories/data-observability/small-business: 11

## In its own words

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

- Positioning: GX Core is an open source framework for testing, validating, and documenting data quality across modern data pipelines, workflows, and teams. (https://greatexpectations.io/)
- For: data practitioners (https://greatexpectations.io/)
- Free plan or trial: GX Core will always remain free. (https://greatexpectations.io/)
- Integrations claimed: 8 (https://greatexpectations.io/)
- Customers named: LOGEX, THINKMD, Vimeo, Heineken, Rent the Runway, Provectus, Avanade, Calm

## What it publishes

Every page greatexpectations.io exposes, read 2026-09-29: 1995 addresses. By kind, pages and the last 90 days:

- blog: 243 pages, 0 in the last 90 days, latest undated
- case study: 18 pages, 0 in the last 90 days, latest 2021-03-24
- webinar or virtual event: 16 pages, 0 in the last 90 days, latest 2021-01-22
- conference or event: 11 pages, 1 in the last 90 days, latest 2026-08-17
- report or ebook: 73 pages, 0 in the last 90 days, latest undated
- comparison: 12 pages, 0 in the last 90 days, latest 2026-03-02
- glossary or explainer: 66 pages, 0 in the last 90 days, latest undated
- news or press: 2 pages, 0 in the last 90 days, latest undated
- Recent: 2026-08-17 conference or event: 2392 https://discourse.greatexpectations.io/t/gx-roadmap-community-meetup/2392
- Recent: 2026-03-02 comparison: 2340 https://discourse.greatexpectations.io/t/tupleazureblobstorage-alternatives/2340
- Recent: 2025-02-04 comparison: 2083 https://discourse.greatexpectations.io/t/is-there-any-alternative-for-gx-v1-data-profiler/2083
- Recent: 2024-11-25 conference or event: 2007 https://discourse.greatexpectations.io/t/december-workshops/2007
- Recent: 2024-10-11 conference or event: 1945 https://discourse.greatexpectations.io/t/october-community-meetup-10-15/1945
- Recent: 2024-10-08 comparison: 1933 https://discourse.greatexpectations.io/t/validation-with-checkpoint-vs-batch/1933

## 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.