Source page
flexera.com/blog/finops/databricks-sql-warehouse-types/
https://flexera.com/blog/finops/databricks-sql-warehouse-types/ as a canonical citation page in Rank.ai's public AI answer benchmark.
#4
Best position, on Most-cited pages in Data Platforms answers
1
Board it ranks on
At a glance
What we know about flexera.com/blog/finops/databricks-sql-warehouse-types/
Its published ranks, facts, evidence and relationships in one place. A value that was not published stays blank.
- Boards
- 1
- Metrics
- 7
- Published observations
- 14
- Primary sources
- 1
Facts
The latest value of each metric
100% confidence · as of Sep 20, 2026 · Source: Rank.ai Data Platforms Prompt Benchmark, grade A| Metric | Value |
|---|---|
| Best citation position | 2 positionmeasured |
| Cited answers | 2 answersmeasured |
| Cited-answer coverage | 5.56 percentderived |
| Engine breadth | 2 enginesmeasured |
| Mean citation position | 3.5 positionderived |
| Median citation position | 3.5 positionderived |
| Prompt breadth | 1 promptsmeasured |
Rankings
Where flexera.com/blog/finops/databricks-sql-warehouse-types/ ranks
Every published position, as of Sep 20, 2026 · 100% confidence.
| Rank | Board | Score | Movement | Explain |
|---|---|---|---|---|
| 4 | Most-cited pages in Data Platforms answers | 5.56 | 8 ranks gained | Why this rank on Most-cited pages in Data Platforms answers |
Why this rank
flexera.com/blog/finops/databricks-sql-warehouse-types/ on Most-cited pages in Data Platforms answers
Snapshot of Sep 20, 2026, 12:00 AM UTC · Link to this snapshot
Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot.
Ranks privacy-safe canonical citation pages in the complete public prompt benchmark without additional provider calls.
4
Rank on this board
5.556 percent
Score
36
Answers behind the score
100% confidence · 1 of 1 components evidenced
What the score is built from
1 of 1 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Page answer coverage | 5.555556 | 5.556 |
Moved up since the previous snapshot
+8 places- Position numerator13 to 7-6
- Page best position6 to 2-4
- Page mean position6.5 to 3.5-3
- Page median position6.5 to 3.5-3
- Answer denominator36 to 360
- Engine denominator3 to 30
- Position denominator2 to 20
- Prompt denominator12 to 120
- Page answer coverage5.556 to 5.5560
- Page cited answer2 to 20
- Page engine breadth2 to 20
- Page prompt breadth1 to 10
Where each number comes from
7 public recordsCited-answer coveragePage answer coverage · observed Sep 20, 2026, 12:00 AM UTC5.556 percent100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Best citation positionPage best position · observed Sep 20, 2026, 12:00 AM UTC2 position100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Cited answersPage cited answer · observed Sep 20, 2026, 12:00 AM UTC2 answers100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["360885b6-888c-4b84-b234-d98f3fbb248d","c72e77cb-1a63-447c-8ddb-8a30e3ebeb15","29e083f8-ff77-403d-9fd6-dcb93a67968b","5967da8a-0bb3-4c6f-ac82-cfabf774acc3","1686db53-6be4-4b90-9eb2-3f7df9f68389","3ab75670-79be-492c-8c80-f821ab00da2e","f898d076-6a23-4b06-a14d-de866de2c86d","8e361cdf-daa2-49f0-b643-4a410e8d9ae8","4e012623-ba28-4686-9f7a-34e82b1ea929","0fc840b7-d1d9-4960-a465-9562aaef8e2b","d1e24599-d01f-4cf1-9263-cd5515f38ab5","03f9920c-2ce4-4d67-81d9-05c625ff1862","d4751102-3faa-4eb3-8e1b-47e89eaa9862","20988919-d331-4cb0-aa13-d89105ae8016","d217cf56-b58d-4e4b-abac-50b32e68745f","cad206cd-350f-47d4-b557-57e66c7d5a31","2876054a-d15d-4059-a32c-6ae11c717ae2","19dfa956-fb61-4d80-a20c-1fe42303e16c","692ec6b6-0fd2-4b69-84a5-38cd27799136","7de9d72b-4ee1-404b-870c-063835484001","d02e5cd9-2619-4dc3-9c2a-72770f8e085f","49e1169c-302e-4ba4-bd55-41d52ba81405","9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","78b36eae-87c4-4e87-a962-eafe0857dee8","41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","2276f5fb-99ae-4ced-b55d-49e19fc85bff","3051fdf0-02e7-45ce-bb05-669043d3f24e","c29edf74-1c49-40c8-883d-2bb5cabfb3c8","75363fb3-42d1-49b3-a5f2-6bfdfe8186f7","39f5fc8b-c9e3-46b8-b73a-f2e293cd0ce7","c9a5dcc9-0dbb-46c0-81eb-228e08235345","8db98431-8234-49e2-a380-d6db57d3f86f","dec78d6b-790f-43a5-94f4-616cebd10345","521e6c4d-b5ac-48c7-ab12-2cdfd7e7032f"],"benchmarkVersion":"4-data-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Engine breadthPage engine breadth · observed Sep 20, 2026, 12:00 AM UTC2 engines100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Mean citation positionPage mean position · observed Sep 20, 2026, 12:00 AM UTC3.5 position100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Median citation positionPage median position · observed Sep 20, 2026, 12:00 AM UTC3.5 position100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Prompt breadthPage prompt breadth · observed Sep 20, 2026, 12:00 AM UTC1 prompts100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["360885b6-888c-4b84-b234-d98f3fbb248d","c72e77cb-1a63-447c-8ddb-8a30e3ebeb15","29e083f8-ff77-403d-9fd6-dcb93a67968b","5967da8a-0bb3-4c6f-ac82-cfabf774acc3","1686db53-6be4-4b90-9eb2-3f7df9f68389","3ab75670-79be-492c-8c80-f821ab00da2e","f898d076-6a23-4b06-a14d-de866de2c86d","8e361cdf-daa2-49f0-b643-4a410e8d9ae8","4e012623-ba28-4686-9f7a-34e82b1ea929","0fc840b7-d1d9-4960-a465-9562aaef8e2b","d1e24599-d01f-4cf1-9263-cd5515f38ab5","03f9920c-2ce4-4d67-81d9-05c625ff1862","d4751102-3faa-4eb3-8e1b-47e89eaa9862","20988919-d331-4cb0-aa13-d89105ae8016","d217cf56-b58d-4e4b-abac-50b32e68745f","cad206cd-350f-47d4-b557-57e66c7d5a31","2876054a-d15d-4059-a32c-6ae11c717ae2","19dfa956-fb61-4d80-a20c-1fe42303e16c","692ec6b6-0fd2-4b69-84a5-38cd27799136","7de9d72b-4ee1-404b-870c-063835484001","d02e5cd9-2619-4dc3-9c2a-72770f8e085f","49e1169c-302e-4ba4-bd55-41d52ba81405","9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","78b36eae-87c4-4e87-a962-eafe0857dee8","41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","2276f5fb-99ae-4ced-b55d-49e19fc85bff","3051fdf0-02e7-45ce-bb05-669043d3f24e","c29edf74-1c49-40c8-883d-2bb5cabfb3c8","75363fb3-42d1-49b3-a5f2-6bfdfe8186f7","39f5fc8b-c9e3-46b8-b73a-f2e293cd0ce7","c9a5dcc9-0dbb-46c0-81eb-228e08235345","8db98431-8234-49e2-a380-d6db57d3f86f","dec78d6b-790f-43a5-94f4-616cebd10345","521e6c4d-b5ac-48c7-ab12-2cdfd7e7032f"],"benchmarkVersion":"4-data-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Evidence
Figures and their sources
The latest reading of 7 figures for flexera.com/blog/finops/databricks-sql-warehouse-types/, all at 100% confidence, read Sep 20, 2026. Open a row's source for where it was found and how it was read.
| Metric | Value | Kind | Evidence |
|---|---|---|---|
| Prompt breadthPeriod to Sep 21, 2026 · 2 readings | 1prompts | measured | View source
|
| Median citation positionPeriod to Sep 21, 2026 · 2 readings | 3.5position | derived | View source
|
| Engine breadthPeriod to Sep 21, 2026 · 2 readings | 2engines | measured | View source
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| Best citation positionPeriod to Sep 21, 2026 · 2 readings | 2position | measured | View source
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| Cited-answer coveragePeriod to Sep 21, 2026 · 2 readings | 5.6% | derived | View source
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| Cited answersPeriod to Sep 21, 2026 · 2 readings | 2answers | measured | View source
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| Mean citation positionPeriod to Sep 21, 2026 · 2 readings | 3.5position | derived | View source
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See how often AI names you.
Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.
- Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
- Who gets namedEvery competitor in the answers, most named first.
- The pages AI readsThe sources behind each answer.
- Three fixesWhat to fix first, with a brief for the first article.