Every category where a model named Databricks SQL 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
Data warehouses	Data platform	0%	11 of 41	0%	9	under 10 labels · led by Snowflake at 47%

Movement

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

By model

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

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	2	2
GPT-5.4 mini	2	1	3
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	1	1
Grok 4.1 Fast	0	0	0
Mistral Small	0	1	1
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	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

Direct4 labelsNone

Paraphrase3 labelsNone

Comparative14 labelsNone

Budget-constrained0 labelsNone

Scale-constrained7 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative31 labels in all, every segment counted; 0 of the 0 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.

“Databricks SQL if your "warehouse" also needs to handle data engineering, ML, and lakehouse-style workloads in one platform.” GPT-5.4 mini · Data warehouses · direct prompt · alternative

“look at Databricks SQL” GPT-5.4 mini · Data warehouses · 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 Databricks SQL, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks SQL was named but was not.

ProductSame answerTook the first choice insteadHead to head

Snowflake31 of 3111Not in the top three

Google BigQuery30 of 315Not in the top three

Amazon Redshift30 of 311Not in the top three

Azure Synapse Analytics16 of 310Not in the top three

ClickHouse Cloud12 of 310Not in the top three

Microsoft Fabric9 of 310Not in the top three

MotherDuck6 of 312Not in the top three

Firebolt4 of 310Not in the top three

Oracle Autonomous Data Warehouse3 of 310Not in the top three

IBM Db2 Warehouse2 of 310Not in the top three

A head-to-head page exists where both products are in a category's top three. 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. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 25 of the 31 answers that named Databricks SQL and are not a share of its labels.

Domains cited

atlan.com11

clickhouse.com11

fortegrp.com11

ovaledge.com11

domo.com9

double.cloud7

motherduck.com7

checkthat.ai6

datamation.com6

recordlydata.com6

Eighty-five of the eighty-five domain citations in answers naming Databricks SQL came from somebody else's page.

Pages cited

atlan.com/best-cloud-data-warehouses11

clickhouse.com/resources/engineering/top-5-cloud-data-warehouses11

fortegrp.com/insights/best-cloud-data-warehouse11

ovaledge.com/blog/cloud-data-warehouse-solutions11

domo.com/learn/article/best-data-warehouse-platforms9

double.cloud/blog/posts/2024/09/cloud-data-warehouse-solutions6

recordlydata.com/blog/the-state-of-cloud-data-warehouses-2024-edition6

scnsoft.com/data/data-warehouse/cloud6

Pages are listed as the models cited them.

Names read as Databricks SQL

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

Databricks SQL Warehouse 4

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'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, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at databricks.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.