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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Public recommendation prompt in the Rank.ai Data Platforms benchmark.
A current roll-up of published ranks, normalized facts, primary evidence, and entity relationships. No missing value is inferred.
| Metric | Value | As of | Evidence | Confidence |
|---|---|---|---|---|
| public_prompt_insightsCross-engine brand disagreement | 65.56 percentderived | Jul 27, 2026 | Rank.ai Data Platforms Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct citation URLs | 16 urlsmeasured | Jul 27, 2026 | Rank.ai Data Platforms Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct reviewed brands surfaced | 6 brandsmeasured | Jul 27, 2026 | Rank.ai Data Platforms Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsLeading-brand engine consensus | 100 percentderived | Jul 27, 2026 | Rank.ai Data Platforms Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsReviewed-brand presence events | 10 presence_eventsmeasured | Jul 27, 2026 | Rank.ai Data Platforms Prompt Benchmark ↗Grade A | 100% |
Every currently published position, joined to its snapshot, confidence, and methodology version.
| Rank | Leaderboard | Score | Movement | Confidence | As of | Method | Open explanation |
|---|---|---|---|---|---|---|---|
| #1 | Data Platforms Prompt Brand Leadersdata-platforms-prompt-brand-leaders | 100 | — | 100% | Jul 27, 2026 | v1-parent-973ba1005aa91ec7 | Explain → |
| #6 | Data Platforms Engine Disagreement by Promptdata-platforms-prompt-engine-disagreement | 65.56 | — | 100% | Jul 27, 2026 | v1-parent-973ba1005aa91ec7 | Explain → |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 10 | 0% | — | 1 | available |
| public prompt citation urls | 16 | 0% | — | 1 | available |
| public prompt distinct reviewed brands | 6 |
5 published observations for Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.. Open a row for the source, evidence location, extraction method, and quality state.
| Metric | Value | Kind | As of | Confidence | Evidence |
|---|---|---|---|---|---|
| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 65.5556percent | derived | Jul 27, 2026 | 100% | View source
|
| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 6brands | measured | Jul 27, 2026 | 100% | View source
|
| 0% |
| — |
| 1 |
| available |
| public prompt engine disagreement | 65.555556 | 0% | — | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
{"promptSlug":"best-lakehouse-ai-ml","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["3005d418-83e8-4c71-b1fc-3178bc144f4f","f51c4476-f3b7-4570-9128-3173335fcb35","109aa8fc-1dc1-4444-b699-c87b68e9006f"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-lakehouse-ai-ml","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["3005d418-83e8-4c71-b1fc-3178bc144f4f","f51c4476-f3b7-4570-9128-3173335fcb35","109aa8fc-1dc1-4444-b699-c87b68e9006f"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-lakehouse-ai-ml","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["3005d418-83e8-4c71-b1fc-3178bc144f4f","f51c4476-f3b7-4570-9128-3173335fcb35","109aa8fc-1dc1-4444-b699-c87b68e9006f"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-lakehouse-ai-ml","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["3005d418-83e8-4c71-b1fc-3178bc144f4f","f51c4476-f3b7-4570-9128-3173335fcb35","109aa8fc-1dc1-4444-b699-c87b68e9006f"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-lakehouse-ai-ml","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["3005d418-83e8-4c71-b1fc-3178bc144f4f","f51c4476-f3b7-4570-9128-3173335fcb35","109aa8fc-1dc1-4444-b699-c87b68e9006f"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"best-lakehouse-ai-ml","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["3005d418-83e8-4c71-b1fc-3178bc144f4f","f51c4476-f3b7-4570-9128-3173335fcb35","109aa8fc-1dc1-4444-b699-c87b68e9006f"],"parentSnapshotId":"f40337c9-0e3c-4141-8e5c-1e8d9ba2ecf8","providerMatrixVersion":"64232fd32583"}| Distinct citation URLspublic-prompt-citation-urls | 16urls | measured | Jul 27, 2026 | 100% | View source
|
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| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
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| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 10presence_events | measured | Jul 27, 2026 | 100% | View source
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