Data warehouses for enterprise buyers
Asked as “cloud data warehouse”, and as “analytical data warehouse platform”, on behalf of an enterprise B2B company. 39 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing · first-choice share
72%
Clear leader
72Snowflake15Amazon Redshift13Google BigQuery
72% of first choices, clear leader.
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.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
Show the four products at 0%, ordered by negative rate
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 eleven models four times of 44. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
One product takes 72% of first choices here, so the chart would put six markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Two products carry a negative rate above 25% in this category.
What they warned about
Ten of twelve models held their first choice under the paraphrase. Claude Haiku 4.5 and Mistral Small 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.
Amazon Redshift25%
16 of 65 labels negative · 11 of 12 models · 2 hard negative
“Redshift wins almost nowhere in 2026 unless your stack is AWS-locked and you need RA3 features” Claude Haiku 4.5, negative prompt
Snowflake22%
15 of 67 labels negative · 11 of 12 models
“Some traditional cloud data warehouses (such as older architectures of Snowflake, Redshift, and BigQuery) may struggle with ultra-fast queries, real-time data ingestion” Mistral Small, negative prompt
Google BigQuery16%
11 of 68 labels negative · 9 of 12 models · 1 hard negative
“avoid warehouses that are tightly coupled to one cloud (e.g., Azure Synapse for Azure-only, BigQuery for GCP-only)” Mistral Small, negative prompt
Azure Synapse Analytics29%
7 of 24 labels negative · 6 of 12 models · 2 hard negative
“avoid warehouses that are tightly coupled to one cloud (e.g., Azure Synapse for Azure-only, BigQuery for GCP-only)” Mistral Small, negative prompt
What they cite
Twelve of the twelve models returned a source list in this edition: four return the pages they cited and eight the search results they consulted.
Sites the answers cite
63 of 72 answers in this category came back with a source list, from 12 of 12 models: citations where the model returns them, or the search results it consulted. 907 links across 287 sites, every framing counted. Ranked by the number of answers carrying the site or page.
29 answers · 42 citations · 11 models
vendor site · Domo28 answers · 28 citations · 11 models
20 answers · 20 citations · 8 models
vendor site · Atlan19 answers · 19 citations · 7 models
17 answers · 17 citations · 10 models
vendor site · Google16 answers · 25 citations · 8 models
vendor site · OvalEdge16 answers · 17 citations · 10 models
15 answers · 18 citations · 7 models
vendor site · MotherDuck13 answers · 24 citations · 7 models
13 answers · 14 citations · 9 models
13 answers · 14 citations · 8 models
12 answers · 12 citations · 7 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.
28 answers · 11 models
26 answers · 11 models
20 answers · 8 models
19 answers · 7 models
15 answers · 10 models
14 answers · 8 models
11 answers · 7 models
11 answers · 7 models
10 answers · 6 models
10 answers · 5 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 | 72% | 226 | 368,000 | 37,077 | 718,749 | 118 | ||
| Amazon aws.amazon.com Amazon Redshift 15%, Amazon Athena 0% | 15% | 193 | 151,000,000 | 1,380,939 | 9,238,321 | $20,476 | ||
| Google BigQuery cloud.google.com | 13% | 224 | 8,100 | 359 | 7,405,347 | |||
| 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 | ||||
| ClickHouse Cloud clickhouse.com | 0% | 168 | 1,000 | 15 | 43,805 | 47 | 3 | |
| Azure reserved instances | 0% | |||||||
| MotherDuck motherduck.com | 0% | 29 | 5,400 | 66 | 22,212 | 30 | ||
| SAP parent site SAP Datasphere 0% | 0% | 12 | 135,000 | 74,309 |
Google's top ten for the three searches hold 21 sites; 5 of them are among the sites the models cited here (clickhouse.com, domo.com, fortegrp.com, medium.com, scnsoft.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 an enterprise B2B company?”Paraphrase“Which analytical data warehouse platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade cloud data warehouses and how do they differ?”Budget-constrained“What is the best cloud data warehouse for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a cloud data warehouse. What should we look at?”Negative“Which cloud data warehouses should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Snowflakeno first choiceChangedno first choiceAmazon Redshiftagainst: Snowflakeno first choiceagainst: Amazon Redshift, Google BigQuery, Snowflake
Three alternatives
Amazon Redshift, Azure Synapse Analytics, Google BigQueryThree alternatives
ClickHouse Cloud, Google BigQuery, MotherDuckGPT-5.4 miniSnowflakeSnowflakeHeldSnowflakeSnowflakeno first choiceagainst: Amazon Redshift, Databricks SQL, Snowflake
Three alternatives
Amazon Redshift, Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Google BigQuery, Microsoft Fabric Data WarehouseOne alternative
Google BigQueryGemini 3.5 FlashSnowflakeSnowflakeHeldDatabricks SQL, Snowflakeagainst: Azure Synapse AnalyticsAmazon Redshift, Google BigQueryagainst: Snowflakeno first choiceagainst: Amazon Redshift, Azure Synapse Analytics, Firebolt, Google BigQuery, IBM Netezza on Cloud, Oracle Autonomous Data Warehouse, Snowflake, Teradata Vantage
Three alternatives
Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseTwo alternatives
Databricks SQL, Microsoft Fabric Data WarehouseThree alternatives
Amazon Redshift, Google BigQuery, Microsoft Fabric Data WarehouseOne alternative
Microsoft Fabric / Azure SynapsePerplexity SonarSnowflakeSnowflakeHeldSnowflakeAmazon Redshiftno first choiceagainst: Amazon Redshift, Azure Synapse/Fabric, Databricks SQL, Google BigQuery, Snowflake
Four alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseFour alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQueryFour alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseTwo alternatives
Google BigQuery, SnowflakeGrok 4.20SnowflakeSnowflakeHeldno first choiceSnowflakeagainst: Databricks SQLGoogle BigQuery, Snowflakeagainst: Amazon Redshift, Azure Synapse Analytics, ClickHouse Cloud, Databricks SQL, Google BigQuery, Microsoft Fabric Data Warehouse, Snowflake
Three alternatives
Amazon Redshift, Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Databricks SQL, Google BigQueryTwo alternatives
Amazon Redshift, Google BigQueryThree alternatives
Azure Synapse Analytics, Databricks SQL, FireboltMistral SmallSnowflakeagainst: Amazon RedshiftAmazon Redshift, SnowflakeChangedno first choiceSnowflakeagainst: Google BigQuerySnowflakeagainst: Amazon Redshift, Microsoft Fabric Data Warehouseagainst: Amazon Redshift, Azure Synapse Analytics, Google BigQuery, Snowflake
Two alternatives
Databricks SQL, Google BigQueryThree alternatives
Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseOne alternative
Amazon RedshiftTwo alternatives
Databricks SQL, Google BigQueryDeepSeek V4 FlashSnowflakeSnowflakeHeldagainst: Amazon Redshift, Google BigQueryno first choiceGoogle BigQueryagainst: SnowflakeSnowflakeagainst: Amazon Redshift, Azure Synapse Analytics, ClickHouse Cloud, Exasol, Microsoft Fabric Data Warehouse, Snowflake, Teradata Vantage, Vertica
Five alternatives
Amazon Redshift, ClickHouse Cloud, Databricks SQL, Google BigQuery, Microsoft Fabric / Azure SynapseOne alternative
Databricks SQLOne alternative
Amazon RedshiftTwo alternatives
Amazon Redshift, Google BigQueryLlama 4 Maverickno first choiceno first choiceHeldGoogle BigQuery, SnowflakeAmazon Redshiftno first choicenothing named
Five alternatives
Amazon Redshift, Azure Synapse Analytics, ClickHouse Cloud, Databricks SQL, Microsoft Fabric Data WarehouseFive alternatives
Amazon Athena, Azure Synapse Analytics, Azure reserved instances, ClickHouse Cloud, Google BigQueryQwen 3.7 FlashSnowflakeSnowflakeHeldDatabricks SQL, SnowflakeAmazon Redshiftagainst: Google BigQuery, Snowflakeno first choiceagainst: Amazon Athena, Amazon Redshift, Apache Druid, Apache Spark, ClickHouse Cloud, Databricks SQL, Google BigQuery, Oracle Exadata, QuestDB, Snowflake, Teradata Vantage
Four alternatives
Amazon Redshift, Databricks SQL, Google BigQuery, Microsoft Fabric Data WarehouseThree alternatives
Amazon Redshift, Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Google BigQuery, Microsoft Fabric Data WarehouseOne alternative
Azure Synapse AnalyticsKimi K2SnowflakeSnowflakeHeldSnowflakeGoogle BigQueryno first choiceagainst: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery, Snowflake
Three alternatives
Amazon Redshift, Databricks SQL, Google BigQueryTwo alternatives
Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Azure Synapse Analytics, Google BigQueryTwo alternatives
Amazon Redshift, SnowflakeGLM 4.7 FlashXSnowflakeSnowflakeHeldSnowflakeGoogle BigQueryno first choiceagainst: Amazon Redshift, Azure Synapse Analytics, Google BigQuery, Microsoft SQL Server, Oracle, Snowflake
Four alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQueryTwo alternatives
Amazon Redshift, Google BigQueryEight alternatives
Amazon Redshift, Azure Synapse Analytics, ClickHouse Cloud, Databricks SQL, Google BigQuery, Microsoft Fabric Data Warehouse, Oracle Autonomous Data Warehouse, SAP DatasphereTwo alternatives
Amazon Redshift, SnowflakeMiniMax M2.5Snowflakeagainst: Amazon RedshiftSnowflakeHeldGoogle BigQuery, SnowflakeSnowflakeagainst: Amazon Redshiftno first choiceagainst: Amazon Redshift, Snowflake
Two alternatives
Databricks SQL, Google BigQueryThree alternatives
Amazon Redshift, Databricks SQL, Google BigQueryFour alternatives
Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Microsoft Fabric Data WarehouseOne alternative
Google BigQueryBold 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.
Seventy-two 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 | 2026-09-17 09:08 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 09:11 | yes | 2 | 8 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 09:08 | yes | 14 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-17 09:03 | yes | 20 | 7 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 08:56 | yes | 33 | 16 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 08:29 | yes | 14 | 13 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 09:05 | yes | 7 | 17 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 08:41 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 09:06 | no | 0 | 39 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 08:37 | yes | 10 | 24 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 09:11 | yes | 9 | 81 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 08:25 | yes | 10 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 08:25 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 08:37 | yes | 5 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 08:41 | yes | 8 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-17 08:20 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 08:17 | yes | 14 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 08:51 | yes | 11 | 11 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 09:11 | yes | 19 | 20 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 08:52 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 08:52 | yes | 10 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 08:40 | yes | 14 | 33 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 08:43 | no | 0 | 8 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 08:32 | yes | 5 | 37 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 08:45 | yes | 18 | 14 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 08:18 | yes | 4 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 09:05 | yes | 16 | 31 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-17 08:43 | yes | 20 | 8 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 08:19 | yes | 14 | 8 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 08:29 | yes | 5 | 5 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 08:17 | yes | 10 | 13 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 09:09 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 08:25 | yes | 5 | 33 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 08:29 | yes | 10 | 28 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 08:53 | yes | 19 | 80 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 09:05 | yes | 5 | 19 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 08:37 | yes | 17 | 13 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 08:27 | yes | 6 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 08:23 | yes | 19 | 30 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-17 09:11 | yes | 20 | 5 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 08:37 | yes | 29 | 14 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 09:04 | yes | 7 | 8 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 08:22 | yes | 17 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 08:59 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 08:24 | yes | 10 | 75 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 08:45 | yes | 10 | 21 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 08:36 | yes | 29 | 161 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 08:19 | yes | 19 | 101 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 08:40 | yes | 18 | 11 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 09:08 | yes | 4 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 08:57 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-17 08:41 | yes | 20 | 8 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 08:17 | yes | 25 | 13 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 08:57 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 08:33 | yes | 30 | 23 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 08:54 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 08:46 | no | 0 | 40 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 08:17 | yes | 25 | 48 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 08:55 | yes | 13 | 55 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 08:42 | no | 0 | 16 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-17 09:08 | yes | 27 | 13 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-17 08:22 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-17 08:21 | yes | 8 | 27 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-17 08:36 | yes | 20 | 9 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-17 08:53 | yes | 24 | 15 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-17 08:51 | yes | 19 | 13 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-17 08:31 | yes | 24 | 37 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-17 09:12 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-17 08:28 | no | 0 | 50 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-17 08:51 | yes | 24 | 45 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-17 08:38 | yes | 34 | 42 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-17 08:24 | yes | 24 | 81 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Azure Synapse read as Azure Synapse Analytics
Databricks read as Databricks SQL
Databricks (SQL) 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 (Synapse Analytics) read as Microsoft Fabric Data Warehouse
Microsoft Fabric (formerly Azure Synapse) read as Microsoft Fabric Data Warehouse
Microsoft Fabric (including Azure Synapse Analytics) read as Microsoft Fabric Data Warehouse
Teradata read as Teradata Vantage
Unresolved, counted raw
Azure reserved instances
IBM Netezza on Cloud
Vertica
Yellowbrick (Distributed Cloud)
Discontinued, still offered
No shut-down product was recommended here.