Data virtualization · Named, not rankedDatabricks Lakehouse Federation
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Databricks Lakehouse Federation has 6.
Why models recommend it
“Databricks Lakehouse Federation is a strong default.”GPT-5.4 mini · Paraphrase question · first choice
“Databricks is also worth evaluating, especially if you have a free tier project”Claude Haiku 4.5 · Budget-constrained question · alternative
“Databricks Free Edition (built‑in virtualization)”GLM 4.7 FlashX · Budget-constrained question · alternative
What gives them pause
“Microsoft Fabric or Databricks used as "pure" virtualization by default... can create unnecessary platform, storage, and skills overhead”Perplexity Sonar · Negative question · warning
Also on the shortlist
The products named in the same answers as Databricks Lakehouse Federation, over the 11 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 8 | 2 | View → | |
| 5 | 3 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 1 | View → | |
| 4 | 0 | View → | |
| 3 | 1 | View → | |
| 2 | 1 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Databricks Lakehouse Federation's own site, not checked by Gane.
- Free plan or trial
- public preview waitlist
- Also from Databricks
- Databricks Lakeflow, Databricks Lakeflow Jobs, Databricks Mosaic AI, Databricks SQL, Databricks SQL / Lakehouse, Databricks Unity AI Gateway and 1 more
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 11 of the 11 answers that named Databricks Lakehouse Federation and are not a share of its labels.
Domains cited
Thirty-four of the thirty-nine domain citations in answers naming Databricks Lakehouse Federation came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |