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Index › IT › Products › Datafold · November 2026 Edition
2 categories · Ranked

Datafold

Datafold is a data quality and observability tool that provides data diffing, testing and monitoring, with CI/CD integration for pull requests · datafold.com ↗

#17Best rank (enterprise)
11/14Models named it
1First choices
3Warnings
November 2026 Edition · all company sizes counted.
Ranked inData catalogs and governance #13Data quality and observability #17 enterprise

Why models recommend it

“Option A: Modern Agile Tools (Recommended) *Examples: Atlan, Monte Carlo, Datafold, Immuta.*”Qwen 3.7 Flash · Scale-constrained question · first choice
“Specifically strong if you use CI/CD (GitHub Actions/GitLab).”Qwen 3.7 Flash · Scale-constrained question · alternative
“Catch problems before they hit production | Datafold”Qwen 3.7 Flash · Comparative question · alternative
“Datafold: testing / diffing / transformation assurance.”GPT-5.4 mini · Comparative question · alternative

What gives them pause

“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
“can be a good fit for diffing and analytical data validation, but be cautious if you need broad, always-on observability”GPT-5.4 mini · Negative question · warning

Also on the shortlist

The products named in the same answers as Datafold, over the 25 answers that named it, and how often each was the first choice instead.

ProductNamed togetherPicked instead
Monte Carlo
2412View →
Bigeye
210View →
Soda
194View →
Anomalo
170View →
Great Expectations
150View →
Acceldata
140View →
Metaplane
134View →
Sifflet
110View →
Informatica Intelligent Data Management Cloud
90View →
Ataccama ONE
80View →

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Datafold's own site, not checked by Gane.

For
data teams
Price stated
Transparent pricing based on # of objects, timeline and quality contractually ensured.
Certifications
SOC 2, HIPAA, GDPR
Hosting
AWS, GCP, Azure
Customers named
CHG Healthcare, Faire, Eventbrite, Rocket Money, AstraZeneca, Evri, Typeform, Moody's
Visit datafold.com ↗

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

The sites and pages the answers that named Datafold came back with. A fact about retrieval, not a cause of the answer.

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 21 of the 25 answers that named Datafold and are not a share of its labels.

Domains cited

research.isg-one.com14
datakitchen.io8
datastackindex.com8
g2.com8
integrate.io7
dqlabs.ai5
getorchestra.io5
techtarget.com5
vibereference.com5
algoscale.com4

Sixty-nine of the sixty-nine domain citations in answers naming Datafold came from a third party's page.

Pages cited

research.isg-one.com/buyers-guide/analytics_and_data/data_observability/202412
research.isg-one.com/market-perspectives/isg-buyers-guide-for-data-observability-classifie10
integrate.io/blog/top-data-observability-tools7
techtarget.com/news/7-expert-recommended-data-observability-tools/8420885
vibereference.com/backend-and-data/data-observability-platforms5
algoscale.com/data-engineering/best-data-observability-tools4
ciopages.com/buyer-guides/data-quality-observability4
datamation.com/big-data/data-observability-tools4

Pages are listed as the models cited them.

By model

How each model answered on Datafold across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500101
GPT-5.4 mini01012
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000112
Mistral Small00000
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash12003
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

What it publishes

Addresses on datafold.com
573
subdomains included
Content
263
counted in the table below
Documentation
196
Product · Integration
0 · 21
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog17902026-05-08ETL
Case study24undated
Conference or event2202023-05-11
Comparison1602025-06-27
Glossary or explainer1202025-02-18Data catalogs
Podcast or video402024-04-01
Template or tool202025-01-07
News or press2undated
Webinar or virtual event1undated
Report or ebook102023-09-22

Most recent

How it is countedHide how it is counted

Every page datafold.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.