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Index › Products › PostgreSQL · October 2026 Edition
6 categories · Ranked

PostgreSQL

106Judge labels
9First choices
21Negative labels
14 / 14Models named it
6Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
5% in NoSQL for small business buyers
Rank 9 of 66 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 58% of its 12 labels there were negative.
What the models named instead of PostgreSQL →
By buyer segmentRead the same way at every buyer size.
In time series dbs · 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 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Time series databasesData platform2%9 of 6658%12criticized challenger
NoSQL databasesData platform2%6 of 730%11accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Managed relational databasesData platform0%53 of 8233%3under 10 labels · led by Amazon RDS at 45%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Data warehousesData platform0%12 of 260%2under 10 labels · led by Snowflake at 49%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
ETL and ELTData platform0%51 of 750%1under 10 labels · led by Fivetran at 40%newNew since September 2026: not ranked then, 0% now.
Streaming platformsData platform0%94 of 98100%1under 10 labels · led by Confluent Cloud at 39%newNew since September 2026: not ranked then, 0% now.

Movement

This is the first edition on this tier, so no move can be computed for PostgreSQL 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 PostgreSQL across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501113
GPT-5.4 mini13004
Gemini 3.5 Flash11013
Perplexity Sonar00022
Grok 4.2000022
Mistral Small00011
DeepSeek V4 Flash01001
Llama 4 Maverick01001
Qwen 3.7 Flash11013
Kimi K201102
GLM 4.7 FlashX02103
MiniMax M2.501102
GPT-6 Luna01001
Muse Glimmer 30B00112

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
Direct20 labels1
Paraphrase13 labels1
Comparative3 labelsNone
Budget-constrained18 labels3
Scale-constrained12 labels4
Negative40 labels9not counted in share
First choiceAlternativeMentionNegative106 labels in all, every segment counted; 9 of the 18 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.

“Start with PostgreSQL + TimescaleDB if your scale is modest. It minimizes new tooling and hiring complexity.” GPT-5.4 mini · Time series DBs · budget prompt · first choice
“Before choosing any NoSQL database, ask yourself: "Why can't I use PostgreSQL?"” Gemini 3.5 Flash · NoSQL · negative prompt · first choice
“If your data is highly normalized and relational ... stick to Postgres.” Qwen 3.7 Flash · NoSQL · scale prompt · first choice
“modern trends suggest looking at PostgreSQL (specifically with JSONB) as the ultimate hybrid solution” Qwen 3.7 Flash · NoSQL · direct 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.

“they are not optimized for large volumes... making them poor choices for serious time series workloads” Mistral Small · Time series DBs · negative prompt · hard negative
“Databases Posing as Event Streams ... databases are not optimized for this pattern” Gemini 3.5 Flash · Streaming · negative prompt · hard negative
“PostgreSQL, MySQL, and SQL Server are fine for *small-scale* time-series workloads, but ... they become a poor fit as ingest volume, retention, and query complexity grow.” Perplexity Sonar · Time series DBs · negative prompt · soft negative
“General-purpose databases like PostgreSQL or MySQL can handle time-series workloads at small scale, but performance degrades” Claude Haiku 4.5 · Time series DBs · negative prompt · soft negative

Named alongside

The products named in the same answers as PostgreSQL, over the 106 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
Apache Cassandra32 of 1060Not among the top eight
ClickHouse Cloud26 of 1060Not among the top eight
MySQL25 of 1060Not 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 82 of the 106 answers that named PostgreSQL and are not a share of its labels.

Domains cited

guideflow.com36
tigerdata.com35
questdb.com26
aws.amazon.com24
us.fitgap.com23
influxdata.com22
clickhouse.com21
sourceforge.net17
mongodb.com16
dev.to14

234 of the 234 domain citations in answers naming PostgreSQL came from somebody else's page.

Pages cited

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 2% of first choices and TimescaleDB takes 63%.
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In search

Google, US estimates
Position for “time series database”
–
not in the top ten
Position for “time series databases”
–
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
2%
rank 9 of 66 in time series dbs
Segment leader
63%
TimescaleDB
First choices
9 across its categories
Named in
106 answers
Its own site cited
in 82 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
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
News or press959undated
Conference or event3112026-08-07
Comparison1202025-11-13
Glossary or explainer872026-09-24
Report or ebook5undated
Podcast or video302024-07-22

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
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.
PostgreSQL with JSONB 3Postgres 2Azure SQL Database / Azure Database for MySQL / PostgreSQL 1PostgreSQL (specifically with JSONB) 1PostgreSQL + TimescaleDB 1PostgreSQL/MySQL on managed platforms 1Postgres + managed warehouse-like setup 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 is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
The world's most advanced open source database.
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.
The subscriber app

A verification link goes to your work email; an address at postgresql.org is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.