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Data platforms

Data platforms engine disagreement by prompt

12 prompts ranked by how differently the three model APIs answer them.
Recorded Sep 20, 2026Rotating scheduleSource: Rank.ai's prompt benchmark: fixed buying questions put to the OpenAI, Anthropic and Google model APIs, with Rank.ai's web searchHow this board is measuredCSV / JSON

100.0%

Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving. ranks first

Cross engine brand disagreement

12

Prompts ranked

Sep 20

Snapshot recorded

2026 · Rotating schedule

3

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 12 prompts by cross engine brand disagreement

Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving. leads at 100.0%; the middle of the board sits at 70.8%.

Ahead of second place
5.6%
Held by the top three
31%
Middle of the board
70.8%
Rank, name and cross engine brand disagreementMiddle 70.8%
  1. 1Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving.100.0%
  2. 2Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.94.4%
  3. 3Which serverless data warehouse is best for bursty workloads, minimal administration, elastic scaling, and usage-based pricing?88.9%
  4. 4Which cloud data platforms are best for a global enterprise that needs high-concurrency analytics, workload isolation, governance, and predictable performance?83.3%
  5. 5Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.83.3%
  6. 6Which data platforms work best with open table formats and object storage while preserving interoperability, catalog governance, and query performance?75.0%
  7. 7How should a buyer compare data-platform total cost across storage, compute, data movement, concurrency, idle capacity, support, and administration?66.7%
  8. 8Create a proof-of-concept scorecard for data platforms using ingestion, transformation, mixed queries, governance, recovery, and cost-control tests.66.7%
  9. 9Which criteria expose data-platform migration complexity, egress cost, proprietary interfaces, skills risk, workload portability, and vendor lock-in?66.7%
  10. 10Which data platform is strongest for multi-cloud governance, fine-grained access control, lineage, data sharing, privacy, and regulatory compliance?66.7%
  11. 11What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost?61.7%
  12. 12Recommend a platform for real-time event streaming, stream processing, low-latency analytics, data contracts, and operational reliability.50.0%

The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.

leading brand consensus: 33.333333 on 5 of 12 rows · leading brand owned citation coverage: 33.333333 on 7 of 12 rows · 3 checks behind each row.

Data platforms engine disagreement by prompt current rankings
RankNameCross engine brand disagreementPresence eventsCitation URLSDistinct reviewed brandsChangeWhy
01Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving.100.0%2162 8This rankRun it
02Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.94.4%7176 1This rankRun it
03Which serverless data warehouse is best for bursty workloads, minimal administration, elastic scaling, and usage-based pricing?88.9%8146 1This rankRun it
04Which cloud data platforms are best for a global enterprise that needs high-concurrency analytics, workload isolation, governance, and predictable performance?83.3%9136 2This rankRun it
05Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.83.3%936 2ShowingRun it
06Which data platforms work best with open table formats and object storage while preserving interoperability, catalog governance, and query performance?75.0%7124 This rankRun it
07How should a buyer compare data-platform total cost across storage, compute, data movement, concurrency, idle capacity, support, and administration?66.7%2142 2This rankRun it
08Create a proof-of-concept scorecard for data platforms using ingestion, transformation, mixed queries, governance, recovery, and cost-control tests.66.7%202 4This rankRun it
09Which criteria expose data-platform migration complexity, egress cost, proprietary interfaces, skills risk, workload portability, and vendor lock-in?66.7%1111 2This rankRun it
10Which data platform is strongest for multi-cloud governance, fine-grained access control, lineage, data sharing, privacy, and regulatory compliance?66.7%1151 2This rankRun it
11What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost?61.7%9115 10This rankRun it
12Recommend a platform for real-time event streaming, stream processing, low-latency analytics, data contracts, and operational reliability.50.0%6154 2This rankRun it

Compare brands

One brand against up to three competitors, answer by answer

12 questions × 3 model APIs · recorded Sep 20, 2026
Run a question live
Compared 4 of 4

22.2%

of these answers name or cite Snowflake

8 of 36 answers

22.9%

Its share of the compared brands' appearances

1

Answers citing its own site

3 links to its domains

3 of 3

Model APIs that name it

The compared brands across the filtered answers
BrandNamed or citedAgainst primaryShare of comparedMentionsAnswers citing itLinks to its siteModel APIs
Databricksdatabricks.com27.8%10 of 36+5.6 pts28.6%18662 of 3
Google BigQuerycloud.google.com25.0%9 of 36+2.8 pts25.7%17113 of 3
Amazon Redshiftaws.amazon.com22.2%8 of 360.0 pts22.9%8332 of 3
Snowflakesnowflake.com22.2%8 of 36Primary22.9%19133 of 3

Every answer

Which compared brands each answer names

12 questions · 36 answers · a blank cell names none of the compared brands
Compared brands named in each answer, by question and model API
QuestionOpenAIopenai/gpt-4o-miniAnthropicanthropic/claude-haiku-4-5Geminigoogle/gemini-2.5-flash
01Which cloud data platforms are best for a global enterprise that needs high-concurrency analytics, workload isolation, governance, and predictable performance?Recommendation
Snowflake, cited 3DatabricksGoogle BigQueryAmazon Redshift
5 sourcesd3bf4f82
None named
0 sources05a6775c
SnowflakeGoogle BigQueryAmazon Redshift
8 sources5c2110ca
02Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.Recommendation
SnowflakeDatabricks, cited 1
8 sourcesfe11be1c
None named
0 sources9f7c1f69
DatabricksGoogle BigQuery, cited 1
9 sources7f483494
03Which serverless data warehouse is best for bursty workloads, minimal administration, elastic scaling, and usage-based pricing?Recommendation
Databricks, cited 1Google BigQueryAmazon Redshift
6 sources2389d440
None named
0 sourcese4036521
Databricks, cited 1Amazon Redshift, cited 1
9 sources1d14962e
04Recommend a platform for real-time event streaming, stream processing, low-latency analytics, data contracts, and operational reliability.Recommendation
None named
6 sourcesb19498d3
None named
0 sources7359a238
Databricks, cited 1Amazon Redshift, cited 1
10 sources4ea53c82
05Which data platforms work best with open table formats and object storage while preserving interoperability, catalog governance, and query performance?Recommendation
None named
7 sources5cd5eae3
None named
0 sourcesbacbe394
Databricks, cited 1
9 sources37a49ad0
06Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving.Recommendation
Amazon Redshift, cited 1
7 sourcesc8ea8e7f
None named
0 sourcese10b0802
None named
9 sources60a7f3c3
07Which data platform is strongest for multi-cloud governance, fine-grained access control, lineage, data sharing, privacy, and regulatory compliance?Recommendation
None named
6 sources77b8d251
None named
0 sourcesb3dd0bc3
Databricks, cited 1
9 sourcescb62ce33
08What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost?Recommendation
Google BigQuery
7 sources509e84aa
Snowflake
0 sourcesc8246fb4
SnowflakeGoogle BigQueryAmazon Redshift
5 sources16aa7c7e
09Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.Commercial comparison
SnowflakeDatabricksGoogle BigQueryAmazon Redshift
3 sources78aa81ad
None named
0 sourcesc9123048
SnowflakeDatabricksGoogle BigQuery
0 sources0326bddb
10How should a buyer compare data-platform total cost across storage, compute, data movement, concurrency, idle capacity, support, and administration?Commercial comparison
None named
7 sources02225812
None named
0 sourcesa3d1b880
None named
8 sourcese2211b43
11Create a proof-of-concept scorecard for data platforms using ingestion, transformation, mixed queries, governance, recovery, and cost-control tests.Commercial comparison
None named
0 sources9db2a35f
SnowflakeGoogle BigQuery
0 sourcesbe458853
None named
0 sources3337e223
12Which criteria expose data-platform migration complexity, egress cost, proprietary interfaces, skills risk, workload portability, and vendor lock-in?Commercial comparison
None named
7 sources99d4b872
None named
0 sourcesea066f48
None named
4 sources268855ca

Sources

The sites these answers cite

Each site is read from the cited address itself.
Sites cited in the filtered answers
SiteAnswers citing itDistinct pagesModel APIsBest position
youtube.com8721
reddit.com6621
motherduck.com5522
dremio.com5422
databricks.com4421
ibm.com4421
rank.ai4421
linkedin.com3321
medium.com3312
ovaledge.com3323
arxiv.org2221
striim.com2221
aws.amazon.com2222
confluent.io2222
couchbase.com2212
montecarlo.ai2222
lumenalta.com2224
athena-solutions.com2225
gartner.com2225
domo.com2226

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.data-platforms-2026-07-27 / 4-data-platforms-2026-07-27-models-64232fd32583

Why this rank

Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth. on Data Platforms Engine Disagreement by Prompt

Snapshot of Sep 20, 2026, 12:00 AM UTC · Link to this snapshot

Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.

5

Rank on this board

83.333 percent

Score

3

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.'s score
ComponentValueContribution
Engine disagreement83.33333383.333

Moved up since the previous snapshot

+2 places
  1. Leading brand consensus33.333 to 66.667
    +33.333
  2. Leading brand owned citation gap33.333 to 66.667
    +33.333
  3. Engine disagreement66.667 to 83.333
    +16.667
  4. Presence events3 to 9
    +6
  5. Citation URLS0 to 3
    +3
  6. Distinct reviewed brands3 to 6
    +3
  7. Leading brand owned citation coverage0 to 0
    0

Where each number comes from

7 public records
  • Reviewed-brand presence eventsPresence events · observed Sep 20, 2026, 12:00 AM UTC9 presence_events100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct citation URLsCitation URLS · observed Sep 20, 2026, 12:00 AM UTC3 urls100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 20, 2026, 12:00 AM UTC6 brands100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Cross-engine brand disagreementEngine disagreement · observed Sep 20, 2026, 12:00 AM UTC83.333 percent100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand engine consensusLeading brand consensus · observed Sep 20, 2026, 12:00 AM UTC66.667 percent100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 20, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation opportunityLeading brand owned citation gap · observed Sep 20, 2026, 12:00 AM UTC66.667 percentage_points100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"data-platform-buying-criteria","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["41f14ffa-0bac-41b4-9607-44faa10247f0","5f7cd97b-9ac4-4cee-be99-6f1de1b79cec","78b36eae-87c4-4e87-a962-eafe0857dee8"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
    Open the source
Public Data Platforms prompt leaders, engine disagreement, and citation opportunity, version 2-parent-973ba1005aa91ec784 observations · 1 source · quality passed
Snapshot
434b0698-74bb-42b6-8ee8-d30d58c80a77
Data hash
e93a77ebb308e80ac158ea7e3020d50a720e6d6f9a26840b4095f635695c4c82
Method hash
3a84039c3fa853795aa12cbf2713b579d3b6ad27cece1661922cdd65a68ef3db

More in Data platforms

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Data platform rank

Reviewed data platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.

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.