Every category where a model named PostgreSQL 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 warehouse and reverse ETL for marketing	GTM data and infrastructure	1%	7 of 83	0%	8	under 10 labels · led by Hightouch at 40%	▲+1Since September 2026: 0% → 1%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.
Data management platforms	GTM data and infrastructure	0%	89 of 159	0%	1	under 10 labels · led by Segment at 37%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, PostgreSQL held within the floor in all two categories: no change cleared 11 points.

Best category · Warehouse & ETL · by segment

Small business▲+1Since September 2026: 0% → 1%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.

1%from 0% in September 2026

Inside the floor by 10 pointsRank 19 → 11 of 92

Mid-market▲+1Since September 2026: 0% → 1%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.

1%from 0% in September 2026

Inside the floor by 10 pointsRank 17 → 7 of 81

EnterprisegoneNot named this edition; 0% in September 2026.

0%from 0% in September 2026

Inside the floor by 11 pointsNot ranked

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
Warehouse & ETL	0%	1%	▲+1Since September 2026: 0% → 1%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 17 → 7 of 83
DMP	0%	0%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 126 → 89 of 159

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

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

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	1	0	1
GPT-5.4 mini	0	0	1	1
Gemini 3.5 Flash	0	1	0	1
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	2	1	3
Mistral Small	0	1	1	2
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	1	0	0	1
MiniMax M2.5	0	0	0	0
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	0	0	0

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

Paraphrase3 labels1

Comparative4 labelsNone

Budget-constrained7 labels1

Scale-constrained3 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative22 labels in all, every segment counted; 2 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.

“PostgreSQL is the industry standard for open-source data warehousing.” GLM 4.7 FlashX · Warehouse & ETL · budget prompt · first choice

“For marketing datasets with under 50 million rows, standard PostgreSQL is highly performant and incredibly cheap.” Gemini 3.5 Flash · Warehouse & ETL · budget prompt · alternative

“another budget-friendly option, especially if you prefer open-source and have in-house technical expertise” Mistral Small · Warehouse & ETL · budget prompt · alternative

“DuckDB or PostgreSQL: Free, local/open-source. Great for <10 GB data.” Grok 4.1 Fast · Warehouse & ETL · budget 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 PostgreSQL, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and PostgreSQL was named but was not.

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ProductSame answerTook the first choice insteadHead to head

BigQuery19 of 2214Not among the top eight

Census19 of 225Not among the top eight

Hightouch18 of 2213Not among the top eight

Snowflake17 of 224Not among the top eight

Airbyte14 of 221Not among the top eight

RudderStack Reverse ETL12 of 221Not among the top eight

Fivetran11 of 220Not among the top eight

dbt10 of 220Not among the top eight

Amazon Redshift8 of 220Not among the top eight

Databricks SQL Warehouse7 of 220Not 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 PostgreSQL. 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 17 of the 22 answers that named PostgreSQL and are not a share of its labels.

Domains cited

improvado.io12

guideflow.com8

airbyte.com6

empirium.io6

leadjourney.io5

supermetrics.com5

zoho.com5

aboutmartech.com4

checkthat.ai4

funnel.io4

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

Pages cited

improvado.io/blog/best-reverse-etl-tools8

guideflow.com/blog/reverse-etl-tools7

empirium.io/blog/marketing-data-warehouse6

airbyte.com/top-etl-tools-for-sources/reverse-etl-tools5

leadjourney.io/blog/best-marketing-data-warehouse5

supermetrics.com/blog/marketing-data-warehousing5

zoho.com/dataprep/top-reverse-etl-tools.html5

aboutmartech.com/blog/reverse-etl-tools4

Pages are listed as the models cited them.

Search and answers

postgresql.org is not in Google's top ten for any of the category's searches. In the answers, PostgreSQL takes 1% of first choices and Hightouch takes 40%.

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In search

Google, US estimates

Position for “marketing data warehouse and reverse etl stack”

–

not in the top ten

Position for “best marketing data warehouse and reverse etl stack”

–

not in the top ten

Searches for its name, Google: 74,000 a month (“postgresql”)
AI search demand for its name, est.: 14,143 a month
Organic visits to its site: about 465,585 a month
Searches its site ranks for: 70,688 · 7,508 in the top three
Sites linking to it: 57,157
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on Google

None found in Google's ad transparency records for the US

In answers

This edition

Share of first choices

rank 7 of 83 in Warehouse & ETL

Segment leader

40%

Hightouch

First choices: 2 across its categories
Named in: 22 answers
Its own site cited: in 17 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 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

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Addresses on postgresql.org

29,700

subdomains included

Content

1,018

counted in the table below

Documentation

28,592

Product · Integration

8 · 0

Kind	Pages	Last 90 days	Latest
News or press	959	undated
Conference or event	31	1	2026-08-07
Comparison	12	0	2025-11-13
Glossary or explainer	8	7	2026-09-24
Report or ebook	5	undated
Podcast or video	3	0	2024-07-22

Most recent

2026-09-24Glossary glossary or explainer
2026-08-13Glossary glossary or explainer
2026-08-13Glossary glossary or explainer
2026-08-13Glossary glossary or explainer
2026-08-13Glossary glossary or explainer
2026-08-13Glossary glossary or explainer

Events in person

Upcoming

November 24, 2026PostgreSQL Conference Poland – PGConf.PL 2026Gdansk, Poland
November 27, 2026PostgreSQL Conference Japan 2026Chuo-ku, Japan

Last twelve months

September 30, 2026 to October 2, 2026Postgres Summit US 2026Convene 555 Broadway, New York, United States · attended

As the event pages on postgresql.org state them, read September 28, 2026.

How it is countedHide how it is counted

Every page postgresql.org 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.

Names read as PostgreSQL

What the judge wrote, as written, with how often. The vendor table decides that these count as PostgreSQL; a claim can dispute any of them.

Postgres (self-hosted or managed) 1

Follow PostgreSQL

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

PostgreSQL.

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On record

Wikidata

Website: postgresql.org
Founded: 1996

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata

In its own words

Stated by the vendor, not checked

Positioning: The world's most advanced open source database.
postgresql.org
Not stated on the pages read: Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers

What PostgreSQL's own pages state, read September 28, 2026: postgresql.org, postgresql.org/support/security, postgresql.org/download/products/1. 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 PostgreSQL'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 PostgreSQL, 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 PostgreSQL by email, built from the raw record of the edition. It shows:

where PostgreSQL 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 PostgreSQL, 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.