Reviewed data platforms ranked by how often answers to the category's recommendation questions name or cite them, across three model APIs.
Data platforms
Data platforms prompt brand leaders
12 prompts ranked by how many of the three model APIs name the same leader.
100.0%
What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost? ranks first
Leading brand engine consensus
12
Prompts ranked
Sep 20
Snapshot recorded
2026 · Rotating schedule
3
Answers behind each row
From the OpenAI, Anthropic and Google model APIs
All 12 prompts by leading brand engine consensus
What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost? leads at 100.0%; the middle of the board sits at 66.7%.
- Ahead of second place
- 0%
- Held by the top three
- 38%
- Middle of the board
- 66.7%
- Below half the leader
- 5 of 12
Rank, name and leading brand engine consensusMiddle 66.7%
- 1What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost?100.0%
- 2Recommend a platform for real-time event streaming, stream processing, low-latency analytics, data contracts, and operational reliability.100.0%
- 3Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.66.7%
- 4Which serverless data warehouse is best for bursty workloads, minimal administration, elastic scaling, and usage-based pricing?66.7%
- 5Which cloud data platforms are best for a global enterprise that needs high-concurrency analytics, workload isolation, governance, and predictable performance?66.7%
- 6Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.66.7%
- 7Which data platforms work best with open table formats and object storage while preserving interoperability, catalog governance, and query performance?66.7%
- 8Recommend a data platform for operational AI applications that need fresh application data, vector search, transactions, and low-latency serving.33.3%
- 9How should a buyer compare data-platform total cost across storage, compute, data movement, concurrency, idle capacity, support, and administration?33.3%
- 10Create a proof-of-concept scorecard for data platforms using ingestion, transformation, mixed queries, governance, recovery, and cost-control tests.33.3%
- 11Which criteria expose data-platform migration complexity, egress cost, proprietary interfaces, skills risk, workload portability, and vendor lock-in?33.3%
- 12Which data platform is strongest for multi-cloud governance, fine-grained access control, lineage, data sharing, privacy, and regulatory compliance?33.3%
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 owned citation coverage: 33.333333 on 7 of 12 rows · 3 checks behind each row · 100% confidence across rows.
Compare brands
One brand against up to three competitors, answer by answer
12 questions × 3 model APIs · recorded Sep 20, 2026
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
| Brand | Named or cited | Against primary | Share of compared | Mentions | Answers citing it | Links to its site | Model APIs |
|---|---|---|---|---|---|---|---|
| Databricksdatabricks.com | 27.8%10 of 36 | +5.6 pts | 28.6% | 18 | 6 | 6 | 2 of 3 |
| Google BigQuerycloud.google.com | 25.0%9 of 36 | +2.8 pts | 25.7% | 17 | 1 | 1 | 3 of 3 |
| Amazon Redshiftaws.amazon.com | 22.2%8 of 36 | 0.0 pts | 22.9% | 8 | 3 | 3 | 2 of 3 |
| Snowflakesnowflake.com | 22.2%8 of 36 | Primary | 22.9% | 19 | 1 | 3 | 3 of 3 |
Every answer
Which compared brands each answer names
12 questions · 36 answers · a blank cell names none of the compared brands
| Question | OpenAIopenai/gpt-4o-mini | Anthropicanthropic/claude-haiku-4-5 | Geminigoogle/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 sources d3bf4f82 | None named 0 sources 05a6775c | SnowflakeGoogle BigQueryAmazon Redshift 8 sources 5c2110ca |
| 02Recommend a data lakehouse for analytics, machine learning, generative AI, open data formats, notebooks, and production model workflows.Recommendation | SnowflakeDatabricks, cited 1 8 sources fe11be1c | None named 0 sources 9f7c1f69 | DatabricksGoogle BigQuery, cited 1 9 sources 7f483494 |
| 03Which serverless data warehouse is best for bursty workloads, minimal administration, elastic scaling, and usage-based pricing?Recommendation | Databricks, cited 1Google BigQueryAmazon Redshift 6 sources 2389d440 | None named 0 sources e4036521 | Databricks, cited 1Amazon Redshift, cited 1 9 sources 1d14962e |
| 04Recommend a platform for real-time event streaming, stream processing, low-latency analytics, data contracts, and operational reliability.Recommendation | None named 6 sources b19498d3 | None named 0 sources 7359a238 | Databricks, cited 1Amazon Redshift, cited 1 10 sources 4ea53c82 |
| 05Which data platforms work best with open table formats and object storage while preserving interoperability, catalog governance, and query performance?Recommendation | None named 7 sources 5cd5eae3 | None named 0 sources bacbe394 | Databricks, cited 1 9 sources 37a49ad0 |
| 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 sources c8ea8e7f | None named 0 sources e10b0802 | None named 9 sources 60a7f3c3 |
| 07Which data platform is strongest for multi-cloud governance, fine-grained access control, lineage, data sharing, privacy, and regulatory compliance?Recommendation | None named 6 sources 77b8d251 | None named 0 sources b3dd0bc3 | Databricks, cited 1 9 sources cb62ce33 |
| 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 sources 509e84aa | Snowflake 0 sources c8246fb4 | SnowflakeGoogle BigQueryAmazon Redshift 5 sources 16aa7c7e |
| 09Compare modern data platforms on performance, concurrency, openness, governance, developer experience, AI readiness, reliability, and ecosystem depth.Commercial comparison | SnowflakeDatabricksGoogle BigQueryAmazon Redshift 3 sources 78aa81ad | None named 0 sources c9123048 | SnowflakeDatabricksGoogle BigQuery 0 sources 0326bddb |
| 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 sources 02225812 | None named 0 sources a3d1b880 | None named 8 sources e2211b43 |
| 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 sources 9db2a35f | SnowflakeGoogle BigQuery 0 sources be458853 | None named 0 sources 3337e223 |
| 12Which criteria expose data-platform migration complexity, egress cost, proprietary interfaces, skills risk, workload portability, and vendor lock-in?Commercial comparison | None named 7 sources 99d4b872 | None named 0 sources ea066f48 | None named 4 sources 268855ca |
Sources
The sites these answers cite
Each site is read from the cited address itself.
| Site | Answers citing it | Distinct pages | Model APIs | Best position |
|---|---|---|---|---|
| youtube.com | 8 | 7 | 2 | 1 |
| reddit.com | 6 | 6 | 2 | 1 |
| motherduck.com | 5 | 5 | 2 | 2 |
| dremio.com | 5 | 4 | 2 | 2 |
| databricks.com | 4 | 4 | 2 | 1 |
| ibm.com | 4 | 4 | 2 | 1 |
| rank.ai | 4 | 4 | 2 | 1 |
| linkedin.com | 3 | 3 | 2 | 1 |
| medium.com | 3 | 3 | 1 | 2 |
| ovaledge.com | 3 | 3 | 2 | 3 |
| arxiv.org | 2 | 2 | 2 | 1 |
| striim.com | 2 | 2 | 2 | 1 |
| aws.amazon.com | 2 | 2 | 2 | 2 |
| confluent.io | 2 | 2 | 2 | 2 |
| couchbase.com | 2 | 2 | 1 | 2 |
| montecarlo.ai | 2 | 2 | 2 | 2 |
| lumenalta.com | 2 | 2 | 2 | 4 |
| athena-solutions.com | 2 | 2 | 2 | 5 |
| gartner.com | 2 | 2 | 2 | 5 |
| domo.com | 2 | 2 | 2 | 6 |
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
What data platform should a startup or small analytics team choose for fast setup, simple operations, familiar SQL, and controlled early-stage cost? on Data Platforms Prompt Brand Leaders
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.
1
Rank on this board
100 percent
Score
3
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 |
|---|---|---|
| Leading brand consensus | 100 | 100 |
Moved up since the previous snapshot
+1 places- Engine disagreement95.238 to 61.667-33.571
- Leading brand owned citation coverage0 to 33.333+33.333
- Leading brand consensus66.667 to 100+33.333
- Distinct reviewed brands7 to 5-2
- Presence events8 to 9+1
- Citation URLS10 to 11+1
- Leading brand owned citation gap66.667 to 66.6670
Where each number comes from
7 public recordsReviewed-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":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
Distinct citation URLsCitation URLS · observed Sep 20, 2026, 12:00 AM UTC11 urls100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 20, 2026, 12:00 AM UTC5 brands100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
Cross-engine brand disagreementEngine disagreement · observed Sep 20, 2026, 12:00 AM UTC61.667 percent100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
Leading-brand engine consensusLeading brand consensus · observed Sep 20, 2026, 12:00 AM UTC100 percent100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 20, 2026, 12:00 AM UTC33.333 percent100% confidence
- Source
- Rank.ai Data Platforms Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"promptSlug":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
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":"startup-small-team-data-platform","corpusVersion":"data-platforms-2026-07-27","runArtifactIds":["9250031e-c201-4d08-97df-6574d8aadc0a","ea86f3b0-b5e5-47cd-9ce2-bddc28493fbc","49e1169c-302e-4ba4-bd55-41d52ba81405"],"parentSnapshotId":"c7011ebb-7703-42dc-b378-c1c99e48412d","providerMatrixVersion":"64232fd32583"}
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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.
