# Databricks Lakehouse: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 11 judge labels across 1 category by 9 of 14 models. Page: https://www.gane.ai/index/gtm/vendors/databricks-lakehouse

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Data management platforms](https://www.gane.ai/index/gtm/gtm-data/data-management-platforms/index.md) | 0% | 23 | 9% | 11 |

## What the models said for it

- "Choose Snowflake or Databricks if your primary challenge is analytical processing speed" (Gemini 3.5 Flash, DMP)
- "Choose Databricks if your team is engineering-heavy and focused on AI/ML workflows." (Qwen 3.7 Flash, DMP)
- "Choose Databricks if you're doing heavy ML, engineering, or need an open architecture." (DeepSeek V4 Flash, DMP)
- "Databricks: strongest for data engineering, ML/AI, streaming, and large-scale Spark-based processing." (GPT-5.4 mini, DMP)

## And against it

- "Databricks 17.1 reached end of support in February 2026, meaning vendor support is unavailable and updates are no longer applied—you should upgrade" (Claude Haiku 4.5, DMP)

## By model

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

## Sources returned with these answers

The sites and pages cited by the answers that named Databricks Lakehouse, from 38 of the 39 answers that named it (only the models that return a source list).

### Domains cited

- guideflow.com: 11
- g2.com: 10
- techrepublic.com: 10
- ness.com: 9
- estuary.dev: 8
- barc.com: 7
- erstudio.com: 7
- fortegrp.com: 7
- gane.ai/index: 7
- improvado.io: 7

### Pages cited

- https://guideflow.com/blog/data-management-platform: 11
- https://techrepublic.com/article/best-data-management-software: 10
- https://estuary.dev/blog/data-management-tools: 8
- https://fortegrp.com/insights/top-19-data-management-tools-platforms-in-the-usa: 7
- https://ness.com/blog/enterprise-data-management-platforms: 7
- https://barc.com/reviews/data-tools: 6
- https://improvado.io/blog/enterprise-data-management-tools: 6
- https://domo.com/learn/article/best-data-management-platforms: 5

## 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 Lakehouse's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: Unify your data, analytics and AI (https://www.databricks.com/product/data-lakehouse)
- For: Whether you’re a startup or global enterprise, Databricks is built to meet the demands of your business at any scale. (https://www.databricks.com/product/data-lakehouse)
- Price stated: Usage-based pricing keeps spending in check (https://www.databricks.com/product/databricks-lakehouse)
- Free plan or trial: Try for free (https://www.databricks.com/product/data-lakehouse)
- Hosting: AWS, Azure, GCP, SAP

## 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.