Great Expectations is a data quality tool used for pipeline validation · greatexpectations.io ↗
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%. 0 of 14 models made it the first choice when asked directly.
Monte Carlo is first at 43%.
“Best ultra-budget option: Great Expectations or Soda Core for basic data quality checks”GPT-5.4 mini · Budget-constrained question · first choice
“Start with GX Core or Soda Core for data quality testing”MiniMax M2.5 · Budget-constrained question · first choice
“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 · Paraphrase question · alternative
“Great Expectations and Soda Core lead for data engineering teams that embed validation in CI/CD pipelines”Claude Haiku 4.5 · Comparative question · alternative
“Best avoided if you need real-time monitoring or handle large datasets, due to scalability limitations.”Mistral Small · Negative question · warning
“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 · Negative question · warning
“Steep setup for production... documentation gaps for advanced use cases... Some users abandon it for custom solutions”Grok 4.20 · Negative question · warning
“great as an open-source testing framework, but be cautious if you expect a turnkey observability product”GPT-5.4 mini · Negative question · warning
The products named in the same answers as Great Expectations, over the 95 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 76 | 21 | Compare → | |
| 73 | 17 | Compare → | |
| 62 | 4 | Compare → | |
| 50 | 19 | Compare → | |
| 45 | 0 | View → | |
| 44 | 2 | View → | |
| 36 | 1 | View → | |
| 28 | 5 | Compare → | |
| 26 | 0 | View → | |
| 23 | 0 | View → |
What the models named instead of Great Expectations →
A side-by-side page exists where both products are among a category's top eight.
Stated on Great Expectations's own site, not checked by Gane.
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 →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 85 of the 95 answers that named Great Expectations and are not a share of its labels.
233 of the 233 domain citations in answers naming Great Expectations came from a third party's page.
Pages are listed as the models cited them.
| 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 |
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 243 | undated | |||
| Report or ebook | 73 | undated | |||
| Glossary or explainer | 66 | undated | |||
| Case study | 18 | 0 | 2021-03-24 | ||
| Webinar or virtual event | 16 | 0 | 2021-01-22 | ||
| Comparison | 12 | 0 | 2026-03-02 | ||
| Conference or event | 11 | 1 | 2026-08-17 | ||
| News or press | 2 | undated |
Every page greatexpectations.io 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 September 29, 2026.