# Databricks SQL Warehouse: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 23 judge labels across 1 category by 13 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/databricks-sql-warehouse

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data warehouse and reverse ETL for marketing](https://www.gane.ai/index/gtm/gtm-data/data-warehouse-reverse-etl/index.md) | 0% | 101 | 43% | 23 |

## What the models said for it

- "If you are doing a lot of AI/ML alongside marketing analytics, Databricks is the rising star... but the UI is steeper for non-engineers" (GLM 4.7 FlashX, Warehouse & ETL)
- "If you rely heavily on AI/ML for churn prediction and personalized recommendations: Go with Databricks (Lakehouse)" (Gemini 3.5 Flash, Warehouse & ETL)
- "Databricks also offers generous free credits for startups via their partner programs." (Qwen 3.7 Flash, Warehouse & ETL)
- "Databricks is strongest when data science and AI are central" (Perplexity Sonar, Warehouse & ETL)

## And against it

- "❌ Databricks / Spark-based Lakehouses (Delta Lake, Apache Iceberg setups) ... Why to avoid: Databricks is built primarily for machine learning practitioners" (Gemini 3.5 Flash, Warehouse & ETL)
- "Avoid: ... Databricks (overkill unless you're heavy on AI/ML or Spark workloads)" (Grok 4.20, Warehouse & ETL)
- "Using Snowflake, BigQuery, or Databricks directly for marketing activation... they offer zero native activation" (Qwen 3.7 Flash, Warehouse & ETL)
- "Marketing teams often struggle with its complexity, Spark dependency, and higher costs for simple SQL analytics" (Grok 4.20, Warehouse & ETL)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 2 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 1 | 3 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 3 | 4 |
| Mistral Small | 0 | 1 | 0 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 1 | 2 |
| Kimi K2 | 0 | 0 | 0 | 2 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |

## Sources returned with these answers

The sites and pages cited by the answers that named Databricks SQL Warehouse, from 64 of the 79 answers that named it (only the models that return a source list).

### Domains cited

- hightouch.com: 34
- skyvia.com: 25
- aboutmartech.com: 23
- datachannel.co: 22
- improvado.io: 20
- funnel.io: 18
- hevodata.com: 17
- rudderstack.com: 17
- gane.ai/index: 15
- astera.com: 13

### Pages cited

- https://datachannel.co/blogs/top-reverse-etl-tools-2024: 19
- https://skyvia.com/blog/best-reverse-etl-tools: 18
- https://hevodata.com/etl-tools/reverse-etl: 15
- https://aboutmartech.com/blog/reverse-etl-tools: 13
- https://astera.com/type/blog/reverse-etl-tools: 13
- https://leadjourney.io/blog/best-marketing-data-warehouse: 13
- https://hightouch.com/platform/reverse-etl: 11
- https://improvado.io/blog/best-reverse-etl-tools: 11

## The company

Databricks; http://databricks.com/; San Francisco, United States; founded 2013; about 4,000 employees (2022). From Wikidata, fetched 2026-09-14.

## In its own words

What Databricks SQL Warehouse's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: a compute resource that lets you query and explore data on Databricks (https://docs.databricks.com/aws/en/compute/sql-warehouse)
- For: Most users (https://docs.databricks.com/aws/en/compute/sql-warehouse)
- Price stated: For pricing for each warehouse type and a detailed feature comparison, see Databricks SQL. (https://docs.databricks.com/aws/en/compute/sql-warehouse/warehouse-types)

## What it publishes

Every page databricks.com exposes, read 2026-09-29: 24115 addresses. By kind, pages and the last 90 days:

- blog: 3030 pages, 10 in the last 90 days, latest 2026-09-28
- case study: 39 pages, 0 in the last 90 days, latest 2019-02-01
- webinar or virtual event: 277 pages, 0 in the last 90 days, latest 2020-08-01
- conference or event: 2766 pages, 0 in the last 90 days, latest 2026-06-15
- report or ebook: 473 pages, 0 in the last 90 days, latest 2023-06-01
- comparison: 41 pages, 0 in the last 90 days, latest 2022-03-01
- template or tool: 1 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 232 pages, 0 in the last 90 days, latest 2020-01-01
- podcast or video: 2 pages, 0 in the last 90 days, latest 2021-04-01
- news or press: 6 pages, 0 in the last 90 days, latest 2021-07-01
- Recent: 2026-09-28 blog: How databricks rolls out frontier models 14000 employees day 1 https://www.databricks.com/blog/how-databricks-rolls-out-frontier-models-14000-employees-day-1
- Recent: 2026-09-28 blog: Lakebase search state art full text and vector search postgres https://www.databricks.com/blog/lakebase-search-state-art-full-text-and-vector-search-postgres
- Recent: 2026-09-28 blog: Manufacturing data and ai connecting product value chain https://www.databricks.com/blog/manufacturing-data-and-ai-connecting-product-value-chain
- Recent: 2026-09-28 blog: How roll out genie one step step enterprise playbook https://www.databricks.com/blog/how-roll-out-genie-one-step-step-enterprise-playbook
- Recent: 2026-09-28 blog: Helping marketing data engineering same word different meaning https://www.databricks.com/blog/helping-marketing-data-engineering-same-word-different-meaning
- Recent: 2026-09-25 blog: Data dialogue how sp global energy made its structured data estate conversational databricks https://www.databricks.com/blog/data-dialogue-how-sp-global-energy-made-its-structured-data-estate-conversational-databricks

## Record

- Method: https://www.gane.ai/index/gtm/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/gtm.