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Data platforms

Most cited domains in data platforms answers

93 sites ranked by how often AI answers cite 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

22.2%

youtube.com ranks first

Cited answer coverage

93

Sites ranked

of 95 tracked; the rest are below the quality bar

Sep 20

Snapshot recorded

2026 · Rotating schedule

36

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

Follow changes

All 93 sites by cited answer coverage

youtube.com leads at 22.2%; the middle of the board sits at 2.8%.

Ahead of second place
5.6%
Held by the top three
13%
Middle of the board
2.8%
Below half the leader
86 of 93
Highest 22.2%Middle 2.8%
1. youtube.com: 22.2%2. reddit.com: 16.7%3. dremio.com: 13.9%4. motherduck.com: 13.9%5. ibm.com: 11.1%6. databricks.com: 11.1%7. rank.ai: 11.1%8. ovaledge.com: 8.3%9. linkedin.com: 8.3%10. medium.com: 8.3%11. teradata.com: 5.6%12. definite.app: 5.6%13. striim.com: 5.6%14. arxiv.org: 5.6%15. confluent.io: 5.6%16. montecarlo.ai: 5.6%17. flexera.com: 5.6%18. aws.amazon.com: 5.6%19. solved.scality.com: 5.6%20. datalakehousehub.com: 5.6%21. gartner.com: 5.6%22. lumenalta.com: 5.6%23. tinybird.co: 5.6%24. athena-solutions.com: 5.6%25. domo.com: 5.6%26. mimacom.com: 5.6%27. learn.microsoft.com: 5.6%28. couchbase.com: 5.6%29. onehouse.ai: 5.6%30. docs.databricks.com: 2.8%31. elvenite.se: 2.8%32. larksuite.com: 2.8%33. mlconference.ai: 2.8%34. plotstudio.ai: 2.8%35. stackable.tech: 2.8%36. aerospike.com: 2.8%37. atscale.com: 2.8%38. clickhouse.com: 2.8%39. everpuredata.com: 2.8%40. in-com.com: 2.8%41. quora.com: 2.8%42. researchgate.net: 2.8%43. rudderstack.com: 2.8%44. secoda.co: 2.8%45. snowflake.com: 2.8%46. fin.ai: 2.8%47. groundcover.com: 2.8%48. quicklaunchanalytics.com: 2.8%49. reply.com: 2.8%50. rilldata.com: 2.8%51. scalecomputing.com: 2.8%52. transcend.io: 2.8%53. blog.twingdata.com: 2.8%54. boomi.com: 2.8%55. cloud.google.com: 2.8%56. community.databricks.com: 2.8%57. facebook.com: 2.8%58. maculasys.com: 2.8%59. research.com: 2.8%60. unitrends.com: 2.8%61. velodb.io: 2.8%62. zilliz.com: 2.8%63. alatech.medium.com: 2.8%64. cratedb.com: 2.8%65. fortegrp.com: 2.8%66. incorta.com: 2.8%67. pinecone.io: 2.8%68. privacera.com: 2.8%69. usercentrics.com: 2.8%70. aimagazine.com: 2.8%71. blog.dreamfactory.com: 2.8%72. cyberhaven.com: 2.8%73. ispirer.com: 2.8%74. oracle.com: 2.8%75. revefi.com: 2.8%76. sas.com: 2.8%77. singlestore.com: 2.8%78. vardhmanandroid2015.medium.com: 2.8%79. article.sapub.org: 2.8%80. dbvis.com: 2.8%81. docs.aws.amazon.com: 2.8%82. hbs.net: 2.8%83. lifebit.ai: 2.8%84. nops.io: 2.8%85. spice.ai: 2.8%86. firebolt.io: 2.8%87. insider.govtech.com: 2.8%88. silk.us: 2.8%89. vastdata.com: 2.8%90. cloudera.com: 2.8%91. dualitytech.com: 2.8%92. min.io: 2.8%93. pingcap.com: 2.8%
Rank 1One bar per published rowRank 93

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.

answers citing it: 1 on 64 of 93 rows · engines: 1 on 67 of 93 rows · 36 checks behind each row.

Most cited domains in data platforms answers current rankings
RankNameCited answer coverageBest positionTypical positionChangeWhy
01youtube.com22.2%14.5 2This rank
02reddit.com16.7%14 6This rank
03dremio.com13.9%24 2This rank
04motherduck.com13.9%24 1This rank
05ibm.com11.1%11 6This rank
06databricks.com11.1%12.5 18This rank
07rank.ai11.1%12.5 2This rank
08ovaledge.com8.3%34 4This rank
09linkedin.com8.3%15 16This rank
10medium.com8.3%23 8This rank
11teradata.com5.6%11.5 7This rank
12definite.app5.6%12—This rank
13striim.com5.6%12 3This rank
14arxiv.org5.6%13—This rank
15confluent.io5.6%23 2This rank
16montecarlo.ai5.6%23 69This rank
17flexera.com5.6%23.5 5This rank
18aws.amazon.com5.6%24.5 26This rank
19solved.scality.com5.6%34.5 20This rank
20datalakehousehub.com5.6%35—This rank
21gartner.com5.6%55 15This rank
22lumenalta.com5.6%46 8This rank
23tinybird.co5.6%66 18This rank
24athena-solutions.com5.6%56.5 44This rank
25domo.com5.6%66.5 12This rank
26mimacom.com5.6%36.5 26This rank
27learn.microsoft.com5.6%67.5—This rank
28couchbase.com5.6%22.5—This rank
29onehouse.ai5.6%77.5 22This rank
30docs.databricks.com2.8%11—This rank
31elvenite.se2.8%11—This rank
32larksuite.com2.8%11—This rank
33mlconference.ai2.8%11 2This rank
34plotstudio.ai2.8%11—This rank
35stackable.tech2.8%11 4This rank
36aerospike.com2.8%22 15This rank
37atscale.com2.8%22—This rank
38clickhouse.com2.8%22—This rank
39everpuredata.com2.8%22—This rank
40in-com.com2.8%22—This rank
41quora.com2.8%22—This rank
42researchgate.net2.8%22 19This rank
43rudderstack.com2.8%22 23This rank
44secoda.co2.8%22—This rank
45snowflake.com2.8%13—This rank
46fin.ai2.8%33—This rank
47groundcover.com2.8%33—This rank
48quicklaunchanalytics.com2.8%33—This rank
49reply.com2.8%33 34This rank
50rilldata.com2.8%33—This rank
51scalecomputing.com2.8%33—This rank
52transcend.io2.8%33—This rank
53blog.twingdata.com2.8%44 4This rank
54boomi.com2.8%44—This rank
55cloud.google.com2.8%44 36This rank
56community.databricks.com2.8%44—This rank
57facebook.com2.8%44 9This rank
58maculasys.com2.8%44—This rank
59research.com2.8%44 6This rank
60unitrends.com2.8%44—This rank
61velodb.io2.8%44—This rank
62zilliz.com2.8%44 19This rank
63alatech.medium.com2.8%55—This rank
64cratedb.com2.8%55—This rank
65fortegrp.com2.8%55 12This rank
66incorta.com2.8%55—This rank
67pinecone.io2.8%55—This rank
68privacera.com2.8%55—This rank
69usercentrics.com2.8%55 57This rank
70aimagazine.com2.8%66—This rank
71blog.dreamfactory.com2.8%66 4This rank
72cyberhaven.com2.8%66—This rank
73ispirer.com2.8%66—Showing
74oracle.com2.8%66—This rank
75revefi.com2.8%66 4This rank
76sas.com2.8%66 40This rank
77singlestore.com2.8%66 39This rank
78vardhmanandroid2015.medium.com2.8%66—This rank
79article.sapub.org2.8%77 3This rank
80dbvis.com2.8%77—This rank
81docs.aws.amazon.com2.8%77—This rank
82hbs.net2.8%77—This rank
83lifebit.ai2.8%77—This rank
84nops.io2.8%77—This rank
85spice.ai2.8%77—This rank
86firebolt.io2.8%88 37This rank
87insider.govtech.com2.8%88—This rank
88silk.us2.8%88—This rank
89vastdata.com2.8%88 5This rank
90cloudera.com2.8%99 45This rank
91dualitytech.com2.8%99—This rank
92min.io2.8%99 39This rank
93pingcap.com2.8%99 2This rank

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

ispirer.com on Most-cited domains 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, comparable prior ranking.

Ranks URL-derived citation hostnames in the complete public prompt benchmark without additional provider calls.

73

Rank on this board

2.778 percent

Score

36

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 ispirer.com's score
ComponentValueContribution
Answer coverage2.7777782.778

New in this snapshot

No change in rank

entity_not_ranked_in_prior_snapshot

No component moved since the previous snapshot.

Where each number comes from

7 public records
  • Cited-answer coverageAnswer coverage · observed Sep 20, 2026, 12:00 AM UTC2.778 percent100% 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"}
    Open the source
  • Best citation positionBest position · observed Sep 20, 2026, 12:00 AM UTC6 position100% 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"}
    Open the source
  • Cited answersCited answer · observed Sep 20, 2026, 12:00 AM UTC1 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"}
    Open the source
  • Distinct citation URLsDistinct URL · observed Sep 20, 2026, 12:00 AM UTC1 URLs100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
  • Engine breadthEngine breadth · observed Sep 20, 2026, 12:00 AM UTC1 engines100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
  • Mean citation positionMean position · observed Sep 20, 2026, 12:00 AM UTC6 position100% 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"}
    Open the source
  • Median citation positionMedian position · observed Sep 20, 2026, 12:00 AM UTC6 position100% confidence
    Source
    Rank.ai Data Platforms Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
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    Open the source
Public Data Platforms answer source visibility, version 2-parent-973ba1005aa91ec7651 observations · 1 source · quality passed
Snapshot
5a5e8ccd-1629-4ca6-9aa3-0c293b32546b
Data hash
1a2261ac0b18ffa97027cb0850837ef6b902ada826a37d2f85a8bba9b4d20b6d
Method hash
d38bfaeb8b4335341dd728dbbbc7ffc6c9ac1d991553e7ef0a17c2ee58fbfc92

More in Data platforms

Cloud warehouses, lakehouses, streaming systems, and operational data platforms ranked across a fixed enterprise buying corpus.

3 boards
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.