Data warehouse and reverse ETL for marketing · September 2026 Edition
BigQuery vs Snowflake
Six of twelve models named BigQuery first on the direct prompt; seven named Snowflake. Both were named by all twelve models and BigQuery carries 65 labels and Snowflake 60, so the shares are not directly comparable.
By Google Cloud Platform, founded 2008. Named in three categories this edition.
By Snowflake Inc., San Mateo, United States, founded 2012. Named in four categories this edition.
First-choice share24%20%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 14; printed, not drawn.
Labels6560A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, BigQuery reading right to left. Rank and label count are printed, not drawn.Hightouch was named alongside these two in eleven of the twelve direct answers. Hightouch vs BigQuery · Hightouch vs Snowflake
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the Data warehouse and reverse ETL for marketing page.
By framing
How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
BigQueryFirst choices, of twelve modelsSnowflake
Direct67
Paraphrase45
Comparative64
Budget-constrained814 against Snowflake
Scale-constrained45
Negative127 against BigQuery · 4 against Snowflake
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.
The direct prompt
The plain question, one answer per model, grouped by where BigQuery and Snowflake stood in it.
Both were the first choice
2 of 12 modelsThe answer named them together, and the judge labeled each a first choice.Claude Haiku 4.5BigQuery, Hightouch, Polytomic, Snowflake alternatives: Amazon Redshift, Hevo, RudderStack
Gemini 3.5 FlashBigQuery, Hightouch, Snowflake alternatives: Census, Fivetran, dbt
BigQuery first, Snowflake an alternative
4 of 12 modelsSnowflake was named in the answer but not as the choice, or not at all.Perplexity SonarBigQuery, Hightouch alternatives: Cometly, Fivetran, Funnel, Improvado, LeadJourney, Segment
Grok 4.1 FastBigQuery, Hightouch alternatives: Census, Snowflake
Mistral SmallBigQuery, Hightouch alternatives: Airbyte, Census, Databricks, Fivetran, Improvado, Snowflake, dbt
DeepSeek V4 FlashBigQuery, Hightouch alternatives: Airbyte, Census, Fivetran, PostgreSQL, Snowflake, dbt
Snowflake first, BigQuery an alternative
5 of 12 modelsBigQuery was named in the answer but not as the choice, or not at all.GPT-5.4 miniHightouch, Snowflake alternatives: BigQuery, Census, Databricks, Fivetran, dbt
Qwen 3.7 FlashHightouch, Snowflake alternatives: BigQuery, Census, Fivetran, Improvado, Polytomic, dbt
Kimi K2Hightouch, Snowflake alternatives: Airbyte, BigQuery, Census, Fivetran, Hevo, Improvado, Polytomic, dbt
GLM 4.7 FlashXHightouch, Snowflake alternatives: BigQuery, Census, Databricks, Polytomic, dbt
MiniMax M2.5Hightouch, Snowflake alternatives: BigQuery, Census
Neither was named
1 of 12 modelsThe answer made no first choice from these two in this category.Llama 4 Maverickno first choice
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
BigQuery leads by thirty-two points.
BigQuery35%#2 of 17Snowflake4%#4 of 17Mid-marketThe figures above
Enterprise
The order flips: Snowflake leads at enterprise.
Snowflake30%#2 of 13BigQuery11%#3 of 13What the models said about BigQuery
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“BigQuery (Proceed with Query Guardrails) ... can cost the company hundreds of dollars in a single click” Gemini 3.5 Flash · negative prompt · soft negative
“BigQuery's pay-per-query model offers flexibility but can get unpredictable based on query volume.” Claude Haiku 4.5 · negative prompt · soft negative
“unpredictable on-demand query costs ($6.25/TB scanned) spike on unoptimized marketing queries” Grok 4.1 Fast · negative prompt · soft negative
“Google BigQuery | Best price-to-performance ratio; separates storage from compute so you only pay for what you query. Zero maintenance.” Qwen 3.7 Flash · paraphrase prompt · first choice
“For most mid-market companies, BigQuery's serverless model and lower operational overhead make it the easier starting point.” GLM 4.7 FlashX · paraphrase prompt · first choice
“BigQuery (free tier) → dlt or open-source Airbyte → dbt Core → Looker Studio, plus Adapters (~$49/month) for reverse ETL” DeepSeek V4 Flash · budget prompt · first choice
What the models said about Snowflake
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of six in this category shown.
“Snowflake — bills by credit-hours of uptime; it gets expensive fast and is poor value for small marketing workloads.” DeepSeek V4 Flash · budget prompt · hard negative
“❌ Snowflake: Minimum warehouse costs make it expensive for low-volume marketing analytics” GLM 4.7 FlashX · budget prompt · hard negative
“Avoid for tight budgets: Snowflake/Redshift (higher baseline compute ~$300+/month)” Grok 4.1 Fast · budget prompt · hard negative
“Snowflake: Best for most mid-market B2B companies due to excellent performance with structured data, strong security, and predictable pricing” Mistral Small · paraphrase prompt · first choice
“Warehouse: Google BigQuery (if your web analytics is GA4) OR Snowflake (if you want a neutral cloud platform).” Gemini 3.5 Flash · scale prompt · first choice
“the most common stack is something like BigQuery or Snowflake for storage plus Hightouch or Census for activation” Perplexity Sonar · comparative prompt · first choice
Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.