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Subcategory · AI Citation Index

Data Warehouse

Snowflake and Databricks lead 148-brand data warehouse space; scores volatile, consensus thin across 173 AI prompts.

173 discovery queries · 185 head-to-heads · refreshed Oct 16, 2026

Discovery stage

The shortlist

Across 173 buyer-style "Data Warehouse" queries

Snowflake appears in 112 of 173 prompts (64.7% shortlist rate, 370 mentions) and Databricks follows in 105 (60.7%, 291 mentions). Google BigQuery and Google Cloud place third and fourth with 54.3% and 45.1% rates, while legacy Oracle and Teradata capture 31.8% and 21.4% respectively. Only 19 brands achieve consensus across models; the long tail of 148 vendors fragments dramatically.

2%19%37%55%73%Coverage — share of discovery prompts where the brand surfaces48%59%71%82%94%Engine diversity

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions
Tracked acrossChatGPT,Gemini,Claude

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Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1Snowflake
9/9
2Databricks
8/9
3Google BigQuery
8/9
4Matillion
8/9
5SAP
7/9
1Databricks
6/8
2Snowflake
6/8
3Matillion
4/8
4Data Platform
3/8
5Google Cloud
3/8
1Snowflake
7/7
2Google BigQuery
6/7
3Databricks
6/7
4Microsoft
6/7
5Google Cloud
5/7
1Google BigQuery
7/7
2Google Cloud
7/7
3Snowflake
7/7
4Databricks
7/7
5Microsoft
5/7
1Snowflake
6/6
2Databricks
6/6
3Google BigQuery
5/6
4Matillion
5/6
5Google Cloud
5/6
1Snowflake
6/6
2Google BigQuery
6/6
3Databricks
6/6
4Microsoft
6/6
5Google Cloud
5/6
1Snowflake
5/5
2Databricks
5/5
3Matillion
5/5
4Google BigQuery
4/5
5Oracle
3/5
1Snowflake
4/4
2Databricks
4/4
3Google BigQuery
4/4
4Google Cloud
4/4
5Microsoft
4/4
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · data-warehouse

Evaluation stage

Head-to-head

How often AI cites each brand across uniform category evaluation prompts · median 6/100

Snowflake and Databricks tie at 46-point average evaluation scores across 28 head-to-head queries each. Google BigQuery trails narrowly at 44 points over 27 comparisons. Microsoft Fabric lags at 33 points, and the median evaluation score category-wide sits at just 6, signaling weak differentiation below the top tier.

0255075100Evaluation citation rate — % of category evaluation prompts citing this brand07142128Evaluation prompts cited inmedian citation ratemedian exposure

Hover or click a logo to see brand details

X = evaluation citation rate · Y = evaluation prompts cited in · Bubble size = citation exposure
Median citation rate 6/100

Each brand's score is the share of category evaluation prompts where AI cited them across all four engines — the same prompt pool for every brand. Brands above the median citation rate have stronger presence in evaluation-stage queries.

Citation sources

Where AI pulls citations from

481 citations captured across Data Warehouse prompt runs.

Vendor pages

145

Product, help, and marketing pages from tracked vendors

Independent sources

137

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top Data Warehouse questions

Most-cited prompts across the buyer journey. Click any prompt to see the actual URLs AI engines link to.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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