Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 12 → 14 of 92
dbt Labs · 4 categories · Rankeddbt
119Judge labels
1First choices
3Negative labels
13 / 14Models named it
4Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
0% in Warehouse & ETL for mid-market buyers
Rank 11 of 83 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 3% of its 36 labels there were negative.
What the models named instead of dbt →By buyer segmentRead the same way at every buyer size.
Small business14 of 99
0%38 labels
accepted challenger
Mid-market11 of 83
0%36 labels
accepted challenger
Enterprise13 of 82
0%26 labels
accepted challenger
In warehouse & etl · 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 dbt 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 | 0% | 11 of 83 | 3% | 36 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 0% | 50 of 159 | 0% | 3 | 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. |
| Identity resolution | GTM data and infrastructure | 0% | 58 of 140 | 0% | 2 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 121 of 142 | 0% | 1 | under 10 labels · led by Amplitude at 18% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, dbt held within the floor in all four categories: no change cleared 11 points.
Best category · Warehouse & ETL · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 14 → 11 of 81
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 10 → 13 of 79
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Warehouse & ETL | 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 14 → 11 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 31 → 50 of 159 |
| Identity | 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 83 → 58 of 140 |
| Customer intel | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 121 of 142, unchanged |
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 dbt across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated dbt across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 4 | 0 | 0 | 4 |
| Gemini 3.5 Flash | 0 | 5 | 1 | 0 | 6 |
| Perplexity Sonar | 0 | 2 | 1 | 0 | 3 |
| Grok 4.1 Fast | 0 | 3 | 1 | 0 | 4 |
| Mistral Small | 0 | 3 | 0 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 2 | 0 | 4 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 5 | 0 | 1 | 6 |
| Kimi K2 | 0 | 2 | 0 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 2 | 0 | 0 | 2 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 4 | 0 | 0 | 4 |
| Muse Glimmer 30B | 0 | 2 | 0 | 0 | 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
Direct28 labelsNone
Paraphrase26 labelsNone
Comparative11 labelsNone
Budget-constrained25 labels1
Scale-constrained22 labelsNone
Negative7 labels1not counted in share
First choiceAlternativeMentionNegative119 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.
“A SQL-based transformation workflow such as dbt can provide version control, tests, documentation, and deployment practices” GPT-6 Luna · Warehouse & ETL · scale prompt · alternative
“dbt Core gives you transformation modeling without paying for a warehouse-specific transformation product” GPT-5.4 mini · Warehouse & ETL · budget prompt · alternative
“Transformation or modeling tools such as dbt help clean and structure that data for analysis” Perplexity Sonar · Warehouse & ETL · comparative prompt · alternative
“dbt Core is the industry-standard transformation tool and it is completely free.” Qwen 3.7 Flash · 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.
“Do not buy Fivetran or dbt Cloud until you hit a revenue threshold” Qwen 3.7 Flash · Warehouse & ETL · budget prompt · hard negative
Named alongside
The products named in the same answers as dbt, over the 113 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and dbt was named but was not.ShowHide
Named alongside
The products named in the same answers as dbt, over the 113 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and dbt was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 dbt. 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 97 of the 113 answers that named dbt and are not a share of its labels.
Domains cited
improvado.io55
hightouch.com46
guideflow.com33
aboutmartech.com26
airbyte.com25
leadjourney.io23
cdp.com22
zoho.com22
coffee.ai18
fivetran.com18
288 of the 288 domain citations in answers naming dbt came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
getdbt.com is not in Google's top ten for any of the category's searches. In the answers, dbt takes 0% of first choices and Hightouch takes 40%.ShowHide
Search and answers
getdbt.com is not in Google's top ten for any of the category's searches. In the answers, dbt takes 0% of first choices and Hightouch takes 40%.
ShowHideIn search
Google, US estimatesPosition 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
- not counted (“dbt”)
- AI search demand for its name, est.
- 5,590 a month
- Organic visits to its site
- about 75,753 a month
- Searches its site ranks for
- 9,242 · 904 in the top three
- Sites linking to it
- 7,361
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 11 of 83 in Warehouse & ETL
Segment leader
40%
Hightouch
- First choices
- 1 across its categories
- Named in
- 113 answers
- Its own site cited
- in 97 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
ShowHide
What it publishes
ShowHideAddresses on getdbt.com
3,652
subdomains included
Content
1,079
counted in the table below
Documentation
1,233
Product · Integration
20 · 1
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Conference or event | 555 | 0 | 2026-06-07 | ||
| Webinar or virtual event | 176 | undated | |||
| Blog | 165 | undated | |||
| Report or ebook | 83 | 35 | 2026-09-29 | ||
| Case study | 61 | 0 | 2025-04-17 | ||
| Comparison | 22 | 1 | 2026-08-27 | ||
| Glossary or explainer | 10 | undated | |||
| Template or tool | 3 | 1 | 2026-09-04 | ||
| Podcast or video | 3 | 0 | 2022-02-25 | ||
| News or press | 1 | undated |
Most recent
- 2026-09-29Athena report or ebook
- 2026-09-29Azure synapse analytics report or ebook
- 2026-09-29Bigquery report or ebook
- 2026-09-29Databricks report or ebook
- 2026-09-29Redshift report or ebook
- 2026-09-29Snowflake report or ebook
Events in person
Last twelve months
- September 11, 2026【招待制】Snowflake World Tour Tokyo 特別企画：Fivetran ＋ dbt 屋形船ディナークルーズ中金 船宿 · took part
- September 9, 2026【対面式】 dbt platform ハンズオンワークショップ東京ガーデンテラス紀尾井町 紀尾井カンファレンス · hosted
- July 27, 2026Snowflakeへの移行を成功に導く— マイナビが語る dbt 導入のリアルSnowflake 東京オフィス · took part
As the event pages on getdbt.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page getdbt.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 September 29, 2026.
Names read as dbt
What the judge wrote, as written, with how often. The vendor table decides that these count as dbt; a claim can dispute any of them.
dbt (data build tool) 6dbt Core 5dbt Cloud 3dbt (Data Build Tool) 2dbt Core / dbt Cloud 1
Follow dbt
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
dbt-core is the company behind dbt.ShowHide
The company
dbt-core is the company behind dbt.
ShowHideOn record
Wikidata- Website
- getdbt.com
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 open standard for modern, AI-ready data transformation
- For
- data teams
- Price stated
- Free Developer plan. Starter at $100/seat/month. Custom Enterprise options. getdbt.com/pricing
- Starting price
- 100 getdbt.com/pricing
- Free plan or trial
- Create a free account getdbt.com
- Integrations claimed
- 6 getdbt.com
- Certifications
- SOC 2 Type IIISO 27001:2022ISO 27017ISO 27018ISO 42001GDPRCCPAISO 27701
- Hosting
- United StatesGermanyAustraliaJapanUnited KingdomIreland
- Customers named
- SweetgreenBilt RewardsNasdaqHubSpotJetBlueSafetyCultureMcDonald'sSiemens
What dbt's own pages state, read September 28, 2026: getdbt.com, getdbt.com/pricing, trust.getdbt.com, getdbt.com/product/ai, getdbt.com/case-studies. 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 dbt'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 dbt, 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 dbt by email, built from the raw record of the edition. It shows:
- where dbt 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 dbt, 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.