AI Indexes
GTM AI Index
Index › Products › Databricks SQL Warehouse · October 2026 Edition
1 category · Ranked

Databricks SQL Warehouse

84Judge labels
1First choices
22Negative labels
14 / 14Models named it
1Category
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
1% in Warehouse & ETL for enterprise buyers
Rank 15 of 83 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 23% of its 26 labels there were negative.
What the models named instead of Databricks SQL Warehouse →
By buyer segmentRead the same way at every buyer size.
Small business99 of 99
0%17 labels
criticized challenger
Mid-market15 of 83
0%26 labels
accepted challenger
Enterprise6 of 82
1%41 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 Databricks SQL Warehouse 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
Data warehouse and reverse ETL for marketingGTM data and infrastructure0%15 of 8323%26accepted challenger=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, Databricks SQL Warehouse held within the floor in its one category: no change cleared 11 points.

Best category · Warehouse & ETL · by segment

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 93 → 92 of 92
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 18 of 81, unchanged
Enterprise▲+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 12 → 6 of 79

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Warehouse & ETL0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 18 → 15 of 83

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 Databricks SQL Warehouse across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500202
GPT-5.4 mini01203
Gemini 3.5 Flash01023
Perplexity Sonar00202
Grok 4.2000325
Mistral Small00011
DeepSeek V4 Flash01012
Llama 4 Maverick01001
Qwen 3.7 Flash01102
Kimi K200101
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna00101
Muse Glimmer 30B01102

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
Direct13 labelsNone
Paraphrase15 labelsNone
Comparative20 labelsNone
Budget-constrained5 labels1
Scale-constrained21 labelsNone
Negative10 labelsNone
First choiceAlternativeMentionNegative84 labels in all, every segment counted; 1 of the 1 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.

“Best for: Advanced marketing teams that rely heavily on data science, custom machine learning models” Gemini 3.5 Flash · Warehouse & ETL · comparative prompt · alternative
“Best For: Marketing teams that need to perform advanced machine learning modeling” GLM 4.7 FlashX · Warehouse & ETL · comparative prompt · alternative
“Best for: Teams building advanced analytics/ML pipelines alongside warehousing” DeepSeek V4 Flash · Warehouse & ETL · comparative prompt · alternative
“Snowflake, BigQuery, Redshift, or Databricks - Cloud data warehouses” Llama 4 Maverick · Warehouse & ETL · 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.

“Avoid for tight budgets: ... Databricks (pricey for what small marketing teams need)” DeepSeek V4 Flash · Warehouse & ETL · budget prompt · hard negative
“*Avoid (usually):* Databricks (historically too complex for marketing-first use cases” Gemini 3.5 Flash · Warehouse & ETL · scale prompt · hard negative
“Avoid: Databricks (too complex/expensive for a mid-sized marketing team)” Gemini 3.5 Flash · Warehouse & ETL · paraphrase prompt · hard negative
“Databricks shines for ML/churn models but overkill (and pricier at 2x Snowflake) if your team isn't data-science heavy” Grok 4.20 · Warehouse & ETL · paraphrase prompt · soft negative

Named alongside

The products named in the same answers as Databricks SQL Warehouse, over the 84 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks SQL Warehouse was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Snowflake84 of 8443Not among the top eight
Hightouch82 of 8464Not among the top eight
BigQuery82 of 8424Not among the top eight
Census75 of 8421Not among the top eight
Amazon Redshift49 of 840Not among the top eight
Fivetran45 of 841Not among the top eight
RudderStack Reverse ETL40 of 843Not among the top eight
dbt34 of 840Not among the top eight
Airbyte31 of 840Not among the top eight
Polytomic20 of 842Not 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 Databricks SQL Warehouse. 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 72 of the 84 answers that named Databricks SQL Warehouse and are not a share of its labels.

Domains cited

improvado.io50
hightouch.com38
guideflow.com35
leadjourney.io26
aboutmartech.com24
airbyte.com23
supermetrics.com20
basedash.com19
funnel.io19
zoho.com19

273 of the 273 domain citations in answers naming Databricks SQL Warehouse came from somebody else's page.

Pages cited

improvado.io/blog/best-reverse-etl-tools37
guideflow.com/blog/reverse-etl-tools35
leadjourney.io/blog/best-marketing-data-warehouse26
airbyte.com/top-etl-tools-for-sources/reverse-etl-tools22
aboutmartech.com/blog/reverse-etl-tools21
supermetrics.com/blog/marketing-data-warehousing19
zoho.com/dataprep/top-reverse-etl-tools.html19
basedash.com/blog/best-reverse-etl-tools-compared-202618

Pages are listed as the models cited them.

Search and answers

databricks.com is not in Google's top ten for any of the category's searches. In the answers, Databricks SQL Warehouse takes 0% of first choices and Hightouch takes 40%.
ShowHide

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
260 a month (“databricks sql warehouse”)
AI search demand for its name, est.
32 a month
Organic visits to its site
about 689,756 a month
Searches its site ranks for
43,327 · 6,682 in the top three
Sites linking to it
33,328
Paid Google search
33 searches its ads show for, about 570 clicks and $34,664 a month (estimate)
Ads on GoogleDetailLess
120+ ads · 88 text, 27 image, 5 video · 120 shown in the last 30 days

First shown September 2024, as Databricks, Inc, verified. Ads started 2025-10 to 2026-09: 110 in the year, 10 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 15 of 83 in Warehouse & ETL
Segment leader
40%
Hightouch
First choices
1 across its categories
Named in
84 answers
Its own site cited
in 72 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
Addresses on databricks.com
24,115
subdomains included
Content
6,867
counted in the table below
Documentation
6,978
Product · Integration
243 · 13
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog3,030102026-09-28CDP
Conference or event2,76602026-06-15CDP
Report or ebook47302023-06-01CDP
Webinar or virtual event27702020-08-01
Glossary or explainer23202020-01-01CDP
Comparison4102022-03-01
Case study3902019-02-01
News or press602021-07-01
Podcast or video202021-04-01
Template or tool1undated

Events in person

Last twelve months

As the event pages on databricks.com state them, read September 28, 2026.

How it is countedHide how it is counted

Every page databricks.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. Of its titles that name a category, most name CDP (17); 0 name the category the models place it in. 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 Databricks SQL Warehouse

What the judge wrote, as written, with how often. The vendor table decides that these count as Databricks SQL Warehouse; a claim can dispute any of them.
Databricks 23Databricks (Lakehouse) 1Databricks / Lakehouse 1Databricks SQL 1

Follow Databricks SQL Warehouse

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

Databricks is the company behind Databricks SQL Warehouse.
ShowHide

On record

Wikidata
Headquarters
San Francisco, United States
Founded
2013
Employees
about 4,000 (2022)

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

In its own words

Stated by the vendor, not checked
Positioning
a compute resource that lets you query and explore data on Databricks
docs.databricks.com/aws/en/compute/sql-warehouse
Price stated
For pricing for each warehouse type and a detailed feature comparison, see Databricks SQL. docs.databricks.com/aws/en/compute/sql-warehouse/warehouse-types
Not stated on the pages read
Starting price, free plan or trial, integrations, certifications, hosting, customers

What Databricks SQL Warehouse's own pages state, read October 5, 2026: docs.databricks.com/aws/en/compute/sql-warehouse, docs.databricks.com/aws/en/compute/sql-warehouse/create, docs.databricks.com/aws/en/compute/sql-warehouse/monitor, docs.databricks.com/aws/en/compute/sql-warehouse/real-time, docs.databricks.com/aws/en/compute/sql-warehouse/warehouse-types. 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 Databricks SQL Warehouse'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 Databricks SQL Warehouse, 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 Databricks SQL Warehouse by email, built from the raw record of the edition. It shows:

  • where Databricks SQL Warehouse 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 Databricks SQL Warehouse, 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 databricks.com 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.