IT AI Index

Index › Products › Datafold · October 2026 Edition

1 category · Named, not ranked

Datafold

17Judge labels

1First choices

1Negative labels

7 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Datafold was named 3 times in Data observability, where Metaplane led with 31%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business15 of 101

under the label threshold

Mid-market32 of 110

under the label threshold

Enterprise22 of 101

under the label threshold

In data observability · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Datafold for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Data quality and observability	Data platform	0%	32 of 110	0%	3	under 10 labels · led by Metaplane at 31%

Movement

This is the first edition on this tier, so no move can be computed for Datafold yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Datafold across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

ShowHide

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	1	0	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	2	2

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative5 labels1not counted in share

Budget-constrained4 labelsNone

Scale-constrained5 labels1

Negative1 labelNone

First choiceAlternativeMentionNegative17 labels in all, every segment counted; 1 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Data diffing, testing, and observability; CI/CD integration for PRs.” Grok 4.1 Fast · Data observability · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Datafold, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Datafold was named but was not.

ShowHide

ProductSame answerTook the first choice insteadHead to head

Monte Carlo16 of 177Not among the top eight

Metaplane12 of 172Not among the top eight

Soda11 of 173Not among the top eight

Great Expectations11 of 171Not among the top eight

Bigeye10 of 172Not among the top eight

Acceldata7 of 170Not among the top eight

Anomalo7 of 170Not among the top eight

Elementary6 of 171Not among the top eight

Atlan4 of 171Not among the top eight

Sifflet4 of 170Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Datafold. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 14 of the 17 answers that named Datafold and are not a share of its labels.

Domains cited

atlan.com10

datamation.com8

guideflow.com7

ir.com6

basedash.com5

dataobservability.ai5

openobserve.ai5

ovaledge.com5

airbyte.com4

cubeapm.com4

Fifty-nine of the fifty-nine domain citations in answers naming Datafold came from somebody else's page.

Pages cited

atlan.com/know/data-observability-tools8

datamation.com/big-data/data-observability-tools8

guideflow.com/blog/data-observability-software7

ir.com/guides/top-observability-tools-comparison-2026-smbs-vs-enterprise-platforms6

research.isg-one.com/buyers-guide/analytics_and_data/data_observability/20244

augmentcode.com/tools/best-observability-platforms3

basedash.com/blog/best-data-quality-tools-compared-20263

coralogix.com/guides/observability/observability-platforms3

Pages are listed as the models cited them.

Search and answers

datafold.com is not in Google's top ten for any of the category's searches. In the answers, Datafold takes 0% of first choices and Metaplane takes 31%.

ShowHide

In search

Google, US estimates

Position for “data observability platform”

–

not in the top ten

Position for “best data observability platform”

–

not in the top ten

Searches for its name, Google: 390 a month (“datafold”)
AI search demand for its name, est.: 5 a month
Organic visits to its site: about 2,397 a month
Searches its site ranks for: 809 · 45 in the top three
Sites linking to it: 1,528
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

17 ads · 17 text · 0 shown in the last 30 days

First shown February 2025, as Datafold Inc, verified.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 32 of 110 in data observability

Segment leader

31%

Metaplane

First choices: 1 across its categories
Named in: 17 answers
Its own site cited: in 14 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

ShowHide

Addresses on datafold.com

573

subdomains included

Content

263

counted in the table below

Documentation

196

Product · Integration

0 · 21

Kind	Pages	Last 90 days	Latest	Categories named
Blog	179	0	2026-05-08	ETL
Case study	24	undated
Conference or event	22	0	2023-05-11
Comparison	16	0	2025-06-27
Glossary or explainer	12	0	2025-02-18	Data catalogs
Podcast or video	4	0	2024-04-01
Template or tool	2	0	2025-01-07
News or press	2	undated
Webinar or virtual event	1	undated
Report or ebook	1	0	2023-09-22

Most recent

2026-05-089 ways to screw up data migration blog
2026-04-13Datafold joins databricks delivery provider program blog
2026-04-03The modern data stack open source edition blog
2026-03-19Informatica to databricks migration guide blog
2026-03-19Informatica to snowflake migration guide blog
2026-03-19Ssis to snowflake migration guide blog

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.

Follow Datafold

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Datafold is its own company.

ShowHide

In its own words

Stated by the vendor, not checked

Positioning: The data engineering automation platform. AI-powered migrations delivered in weeks with guaranteed outcomes, plus data quality tools for CI/CD testing, monitoring, and AI agent integrations via MCP.
datafold.com
For: data teams
datafold.com
Price stated: Transparent pricing based on # of objects, timeline and quality contractually ensured. datafold.com
Certifications: SOC 2HIPAAGDPR
Hosting: AWSGCPAzure
Customers named: CHG HealthcareFaireEventbriteRocket MoneyAstraZenecaEvriTypeformMoody's
Not stated on the pages read: Starting price, free plan or trial, integrations

What Datafold's own pages state, read October 5, 2026: datafold.com, datafold.com/pricing, datafold.com/case-studies, datafold.com/partners. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Datafold's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Datafold, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Datafold by email, built from the raw record of the edition. It shows:

where Datafold is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name Datafold, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.