Databricks · 1 category · Named, not rankedDatabricks Lakehouse Federation
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data virtualization | Data platform | 0% | 33 of 99 | 0% | 1 | under 10 labels · led by Denodo at 28% |
Movement
By model
How each model treated Databricks Lakehouse Federation across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“The Low-Friction Ecosystem Option: Databricks Lakehouse Federation” Gemini 3.5 Flash · Data virtualization · paraphrase 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.
Named alongside
The products named in the same answers as Databricks Lakehouse Federation, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Databricks Lakehouse Federation was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 2 of the 2 answers that named Databricks Lakehouse Federation and are not a share of its labels.
Domains cited
Nine of the eleven domain citations in answers naming Databricks Lakehouse Federation came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
databricks.com ranks 5 on Google for the category's searches. In the answers, Databricks Lakehouse Federation takes 0% of first choices and Denodo takes 28%.ShowHide
Search and answers
In search
Google, US estimates- Its company's site
- databricks.com shared with Databricks's other products; the figures are the site's
- 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)
In answers
This edition- First choices
- 0 across its categories
- Named in
- 2 answers
- Its own site cited
- in 2 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.
Follow Databricks Lakehouse Federation
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 Lakehouse Federation.ShowHide
The company
On record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- The Databricks query federation platform. It provides governed, read-only access to external data through Unity Catalog foreign catalogs, with automatic query pushdown and fine-grained access controls at the table level.
- Free plan or trial
- public preview waitlist databricks.com/resources/ebook/lakehouse-federation-databricks
- Not stated on the pages read
- Who it is for, price, starting price, integrations, certifications, hosting, customers
What Databricks Lakehouse Federation's own pages state, read October 6, 2026: docs.databricks.com/aws/en/query-federation, databricks.com/resources/ebook/lakehouse-federation-databricks, kb.databricks.com/en_US/dbsql/redshift-queries-using-lakehouse-federation-taking-longer-than-expected, kb.databricks.com/en_US/unity-catalog/error-creating-tables-on-foreign-catalogs-in-databricks-lakehouse-federation, kb.databricks.com/en_US/data-sources/using-like-statement-causing-slower-performance-in-lakehouse-federation-query. A claimed page can correct any of them.
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 Lakehouse Federation'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 Lakehouse Federation, 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 Lakehouse Federation by email, built from the raw record of the edition. It shows:
- where Databricks Lakehouse Federation 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 Lakehouse Federation, 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.