Data warehouses
Asked as “cloud data warehouse”, and as “analytical data warehouse platform”, on behalf of a mid-market B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
62%
Clear leader
62Snowflake33Google BigQuery04ClickHouse Cloud02others
62% of first choices, clear leader.
Since October 2026▲+13Since October 2026: 49% → 62%, +13 points. Past the 11-point floor: movement.Snowflake held the lead, +13 points on 49%, past the floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Google BigQuery69%Clear leader▲+6Since October 2026: 63% → 69%, +6 points. Inside the 11-point floor: within noise.Standing →Mid-market
Snowflake62%Clear leader▲+13Since October 2026: 49% → 62%, +13 points. Past the 11-point floor: movement.This pageEnterpriseSnowflake70%Clear leader▲+8Since October 2026: 62% → 70%, +8 points. Inside the 11-point floor: within noise.Standing →
Google BigQuery69%Clear leader▲+6Since October 2026: 63% → 69%, +6 points. Inside the 11-point floor: within noise.Standing →Mid-marketSnowflake62%Clear leader▲+13Since October 2026: 49% → 62%, +13 points. Past the 11-point floor: movement.This pageEnterpriseSnowflake70%Clear leader▲+8Since October 2026: 62% → 70%, +8 points. Inside the 11-point floor: within noise.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Snowflake62%24%78endorsed leader▲+13Since October 2026: 49% → 62%, +13 points. Past the 11-point floor: movement.49% → 62%
Snowflake62%24%78endorsed leader▲+13Since October 2026: 49% → 62%, +13 points. Past the 11-point floor: movement.49% → 62%02Google BigQuery Lab in the set33%13%78endorsed leader▼−14Since October 2026: 47% → 33%, −14 points. Past the 11-point floor: movement.47% → 33%
Google BigQuery Lab in the set33%13%78endorsed leader▼−14Since October 2026: 47% → 33%, −14 points. Past the 11-point floor: movement.47% → 33%03
ClickHouse Cloud4%12%26accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise.2% → 4%
ClickHouse Cloud4%12%26accepted challenger▲+2Since October 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise.2% → 4%Show the five products at 0%, ordered by negative rate
05
Databricks SQL0%22%55accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Databricks SQL0%22%55accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%07
Azure Synapse Analytics0%20%25accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Azure Synapse Analytics0%20%25accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08
MotherDuck0%20%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
MotherDuck0%20%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%04
Amazon Redshift0%14%76accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Amazon Redshift0%14%76accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%06Microsoft Fabric Data Warehouse0%8%25accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google BigQuery is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice one time of 4; the other thirteen models sixteen times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
Head to head
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405M06
0708Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative80%
Key
01Snowflake62%
Snowflake62%02Google BigQuery33%
Google BigQuery33%03ClickHouse Cloud4%
ClickHouse Cloud4%04Amazon Redshift0%
Amazon Redshift0%05Databricks SQL0%
Databricks SQL0%06Microsoft Fabric Data Warehouse0%
07Azure Synapse Analytics0%
Azure Synapse Analytics0%08MotherDuck0%
MotherDuck0%What they warned about
Ten of fourteen models held their first choice under the paraphrase. Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Snowflake24%
19 of 78 labels negative · 13 of 14 models
“Tools like Snowflake, BigQuery, and Redshift are optimized for structured business intelligence (BI) and reporting. However, using them for operational workloads...can lead to performance issues and escalating costs.” Mistral Small, negative prompt
Amazon Redshift14%
11 of 76 labels negative · 10 of 14 models · 1 hard negative
“Avoid Redshift (unless you're an AWS-only shop with DBA resources)” DeepSeek V4 Flash, negative prompt
Google BigQuery13%
10 of 78 labels negative · 10 of 14 models
“Tools like Snowflake, BigQuery, and Redshift are optimized for structured business intelligence (BI) and reporting.” Mistral Small, negative prompt
Databricks SQL22%
12 of 55 labels negative · 9 of 14 models
“if your team only needs simple SQL querying, basic reporting, and standard BI dashboards, Databricks can introduce unnecessary engineering complexity” Gemini 3.5 Flash, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
69 of 84 answers in this category came back with a source list, from 13 of 14 models: citations where the model returns them, or the search results it consulted. 753 links across 220 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 1 model searched through a gateway that returned no source list on this edition. 30 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
36 answers · 62 citations · 11 models
vendor site · Atlan22 answers · 22 citations · 7 models
21 answers · 22 citations · 9 models
vendor site · Fivetran18 answers · 19 citations · 9 models
vendor site · LinkedIn15 answers · 20 citations · 6 models
vendor site · Google14 answers · 27 citations · 7 models
14 answers · 17 citations · 9 models
14 answers · 14 citations · 8 models
12 answers · 12 citations · 8 models
vendor site · G211 answers · 14 citations · 6 models
vendor site · Panoply11 answers · 11 citations · 6 models
vendor site · GitHub10 answers · 13 citations · 5 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
22 answers · 7 models
19 answers · 9 models
17 answers · 8 models
14 answers · 7 models
12 answers · 8 models
11 answers · 6 models
11 answers · 8 models
10 answers · 7 models
10 answers · 7 models
9 answers · 6 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best cloud data warehouse”, “cloud data warehouse”, “cloud data warehouses”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Snowflake snowflake.com | 62% | 226 | 368,000 | 37,077 | 718,749 | 118 | ||
| Google BigQuery cloud.google.com Google BigQuery 33%, Google Cloud SQL 0% | 33% | 224 | 8,100 | 359 | 7,405,347 | |||
| ClickHouse Cloud clickhouse.com | 4% | 168 | 1,000 | 15 | 43,805 | 47 | 3 | |
| GCP BigQuery | 2% | |||||||
| Amazon aws.amazon.com Amazon Redshift 0%, Amazon Athena 0% | 0% | 193 | 151,000,000 | 1,380,939 | 9,238,321 | $20,476 | ||
| Databricks databricks.com Databricks SQL 0% | 0% | 129 | 135,000 | 8,368 | 689,756 company | $34,664 | 120 | 6 |
| Microsoft parent site Microsoft Fabric Data Warehouse 0%, Microsoft Fabric / Azure Synapse 0% | 0% | 63 | 2,240,000 | 403,136 | ||||
| Azure azure.com Azure Synapse Analytics 0% | 0% | 51 | 301,000 | 47,904 | ||||
| MotherDuck motherduck.com | 0% | 29 | 5,400 | 66 | 22,212 | 30 | ||
| Firebolt firebolt.io | 0% | 17 | 4,400 | 923 | 6,620 | 0 |
Google's top ten for the three searches hold 21 sites; 2 of them are among the sites the models cited here (clickhouse.com, linkedin.com). The first result for “best cloud data warehouse” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best cloud data warehouse for a mid-market B2B company?”Paraphrase“Which analytical data warehouse platform would you recommend to a mid-sized B2B company?”Comparative“What are the top cloud data warehouses and how do they differ?”Budget-constrained“What is the best cloud data warehouse for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a cloud data warehouse. What should we look at?”Negative“Which cloud data warehouses should I avoid or be cautious about?”
Claude Haiku 4.5SnowflakeSnowflakeHeldno first choiceGoogle BigQueryno first choiceagainst: Databricks SQL, Google BigQuery, Snowflake
Six alternatives
Amazon Redshift, Azure SQL Database or Azure Synapse, ClicData, Firebolt, Google BigQuery, PanoplyFour alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQueryFive alternatives
ClickHouse Cloud, Firebolt, Google Cloud SQL, Panoply, PostgreSQL hosted on AWS RDSGPT-5.4 miniSnowflakeagainst: Databricks SQLSnowflakeHeldno first choiceGoogle BigQueryagainst: Amazon Redshift, Microsoft Fabric Data Warehouse, Snowflakeno first choiceagainst: Snowflake
Two alternatives
Amazon Redshift, Google BigQueryThree alternatives
Amazon Redshift, Databricks SQL, Google BigQueryGemini 3.5 FlashSnowflakeSnowflakeHeldagainst: Databricks SQLno first choiceGoogle BigQueryagainst: SnowflakeSnowflakeagainst: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery, IBM Netezza / Db2 Warehouse, Oracle Autonomous Data Warehouse, Snowflake, Teradata Vantage
Four alternatives
Amazon Redshift, Azure Synapse Analytics, Google BigQuery, Microsoft Fabric Data WarehouseTwo alternatives
Amazon Redshift, Google BigQueryFour alternatives
Amazon Redshift, ClickHouse Cloud, DuckDB, MotherDuckFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric / Azure SynapsePerplexity SonarSnowflakeSnowflakeHeldagainst: MotherDuckSnowflakeGoogle BigQueryagainst: Snowflakeno first choiceagainst: Amazon Redshift, Azure Synapse or Microsoft Fabric, Databricks SQL, Google BigQuery, Snowflake
Five alternatives
Amazon Redshift, ClickHouse Cloud, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseTwo alternatives
Amazon Redshift, ClickHouse CloudGrok 4.20SnowflakeSnowflakeHeldagainst: Oracle, SAP, Teradata Vantageno first choiceagainst: ClickHouse Cloud, Firebolt, Oracle Autonomous Data WarehouseGoogle BigQueryagainst: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, SnowflakeSnowflakeagainst: Oracle, Teradata Vantageagainst: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery, IBM Db2 Warehouse, MotherDuck, Snowflake
Four alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseOne alternative
MotherDuckFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric / Azure SynapseMistral SmallSnowflakeGoogle BigQuery, SnowflakeChangedno first choiceGoogle BigQueryno first choiceagainst: Amazon Redshift, Google BigQuery, Snowflake
Three alternatives
Amazon Redshift, Databricks SQL, Google BigQueryTwo alternatives
Amazon Redshift, Azure Synapse AnalyticsTwo alternatives
Amazon Redshift, SnowflakeDeepSeek V4 FlashSnowflakeGoogle BigQueryChangedSnowflakeGoogle BigQuerySnowflakeagainst: Amazon Redshift, Databricks SQL, Google BigQuery, Panoply, Snowflake, Teradata Vantage, Vertica cloud versions
Three alternatives
Amazon Redshift, Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Databricks SQL, SnowflakeFive alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseFive alternatives
Amazon Athena, Amazon S3, ClickHouse Cloud, DuckDB, MotherDuckFour alternatives
Amazon Redshift, Azure Synapse/Fabric, Databricks SQL, Google BigQueryLlama 4 MaverickSnowflakeSnowflakeHeldno first choiceGCP BigQueryno first choiceagainst: Amazon Redshift, Google BigQuery, Snowflake
Four alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQueryFive alternatives
Amazon Redshift, ClickHouse Cloud, Databricks SQL, Microsoft Fabric Data Warehouse, SnowflakeQwen 3.7 FlashGoogle BigQuery, SnowflakeSnowflakeChangedGoogle BigQuery, SnowflakeClickHouse Cloud, Google BigQueryagainst: Snowflakeno first choiceagainst: Amazon Redshift, Databricks SQL, Google BigQuery, Snowflake
Two alternatives
Amazon Redshift, Databricks SQLThree alternatives
Amazon Redshift, Google BigQuery, dbtThree alternatives
Amazon Redshift, Databricks SQL, Microsoft Fabric / Azure SynapseTwo alternatives
Amazon Redshift, MotherDuckFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, SnowflakeKimi K2SnowflakeSnowflakeHeldSnowflakeGoogle BigQuerySnowflakeagainst: Cloudera Data Warehouse on Cloud, IBM Db2 Warehouse on Cloud - Legacy Plans, Informatica Snowflake Cloud Data Warehouse Connector, Oracle Autonomous Data Warehouse
Two alternatives
Amazon Redshift, Google BigQueryTwo alternatives
Amazon Redshift, Google BigQueryFive alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseThree alternatives
Amazon Redshift, Azure Synapse Analytics, ClickHouse CloudFour alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQueryGLM 4.7 FlashXSnowflakeSnowflakeHeldagainst: ClickHouse Cloud, Databricks SQLno first choiceGoogle BigQueryagainst: Azure Synapse Analytics, Databricks SQL, Microsoft Fabric Data Warehouse, Snowflakeno first choiceagainst: Amazon Redshift, Oracle Autonomous Data Warehouse
Three alternatives
Amazon Redshift, Azure Synapse Analytics, Google BigQueryTwo alternatives
Amazon Redshift, Google BigQueryTwo alternatives
Amazon Redshift, ClickHouse CloudMiniMax M2.5SnowflakeSnowflakeHeldGoogle BigQuery, SnowflakeGoogle BigQueryagainst: SnowflakeSnowflakeagainst: ClickHouse Cloud, Databricks SQLnothing named
Three alternatives
Amazon Redshift, Azure Synapse Analytics, Google BigQueryFive alternatives
Amazon Redshift, Azure Synapse Analytics, ClickHouse Cloud, Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, ClickHouse Cloud, FireboltTwo alternatives
Amazon Redshift, ClickHouse CloudThree alternatives
Amazon Redshift, Azure Synapse Analytics, Google BigQueryGPT-6 LunaSnowflakeSnowflakeHeldSnowflakeGoogle BigQueryno first choiceagainst: Amazon Redshift, Azure Synapse dedicated SQL pools, Google BigQuery, Snowflake
Three alternatives
Amazon Redshift, Databricks SQL, Google BigQueryTwo alternatives
Amazon Redshift, Google BigQueryFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseOne alternative
Amazon RedshiftMuse Glimmer 30BGoogle BigQuery, SnowflakeSnowflakeChangedno first choiceClickHouse Cloud, Google BigQueryagainst: Snowflakeno first choiceagainst: Azure Synapse Analytics, Cloudera Data Warehouse, Google BigQuery, Google Cloud Document AI Warehouse, Snowflake
Two alternatives
Amazon Redshift, Databricks SQLThree alternatives
Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseTwo alternatives
Amazon Redshift, TinybirdBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 18:16 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:44 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:09 | no | 0 | 21 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 17:41 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:15 | yes | 5 | 12 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:27 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:42 | yes | 15 | 16 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 16:56 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:23 | yes | 9 | 30 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:13 | yes | 9 | 33 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:54 | yes | 23 | 43 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:33 | yes | 8 | 40 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:11 | yes | 4 | 11 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:15 | yes | 15 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:26 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:11 | no | 0 | 3 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:21 | no | 0 | 16 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 09:28 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:19 | yes | 5 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 14:16 | yes | 5 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:09 | yes | 23 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:11 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 19:03 | no | 0 | 27 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:38 | yes | 15 | 41 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 18:54 | yes | 25 | 48 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:11 | no | 0 | 85 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:56 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 19:09 | yes | 14 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:50 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 18:24 | yes | 5 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 19:10 | no | 0 | 19 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 10:42 | yes | 10 | 4 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:59 | yes | 5 | 16 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:44 | yes | 5 | 5 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:40 | yes | 20 | 29 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:34 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:41 | yes | 5 | 22 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:23 | yes | 14 | 30 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 19:11 | yes | 25 | 44 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:53 | yes | 5 | 72 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:13 | yes | 5 | 34 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:27 | yes | 21 | 37 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:45 | yes | 10 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:28 | yes | 6 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 16:23 | no | 0 | 19 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:51 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:45 | yes | 5 | 11 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:32 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:02 | yes | 24 | 29 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 19:31 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:13 | yes | 5 | 20 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:38 | yes | 10 | 28 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:19 | yes | 24 | 43 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:25 | yes | 9 | 29 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 19:11 | yes | 3 | 11 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 11:19 | yes | 15 | 25 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:02 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:48 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:07 | no | 0 | 19 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 18:03 | yes | 10 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:29 | yes | 10 | 17 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:05 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:06 | yes | 23 | 70 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:55 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:45 | yes | 10 | 33 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:17 | yes | 23 | 55 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 17:24 | yes | 10 | 116 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 19:37 | yes | 9 | 24 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 18:30 | yes | 1 | 56 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 17:20 | no | 0 | 7 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 18:59 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 19:27 | yes | 6 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:28 | no | 0 | 17 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 16:11 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:17 | yes | 5 | 11 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:34 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:55 | yes | 25 | 29 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 18:12 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 19:18 | yes | 10 | 42 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:22 | yes | 25 | 36 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:58 | yes | 24 | 120 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:00 | no | 0 | 21 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:25 | yes | 4 | 11 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:56 | yes | 23 | 34 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Azure Synapse read as Azure Synapse Analytics
Databricks read as Databricks SQL
Databricks (Lakehouse platform) read as Databricks SQL
Databricks (SQL Warehouse) read as Databricks SQL
Databricks Data Intelligence Platform read as Databricks SQL
Databricks Lakehouse read as Databricks SQL
Databricks SQL / Lakehouse read as Databricks SQL
Fabric read as Microsoft Fabric Data Warehouse
Microsoft Fabric read as Microsoft Fabric Data Warehouse
Microsoft Fabric (formerly Azure Synapse SQL Pools) read as Microsoft Fabric Data Warehouse
Microsoft Fabric (incl. Azure Synapse Analytics) read as Microsoft Fabric Data Warehouse
Microsoft Fabric Warehouse read as Microsoft Fabric Data Warehouse
Teradata read as Teradata Vantage
Unresolved, counted raw
Azure SQL Database or Azure Synapse
Azure Synapse dedicated SQL pools
Azure Synapse or Microsoft Fabric
Cloudera Data Warehouse
Cloudera Data Warehouse on Cloud
GCP BigQuery
Google Cloud Document AI Warehouse
IBM Db2 Warehouse on Cloud - Legacy Plans
Informatica Snowflake Cloud Data Warehouse Connector (v1)
Mother Duck/DuckDB
PostgreSQL hosted on AWS RDS
Vertica cloud versions
Discontinued, still offered
No shut-down product was recommended here.