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Data management platforms · September 2026 Edition

BigQuery vs Snowflake

Zero of twelve models named BigQuery first on the direct prompt; zero named Snowflake. BigQuery was named by nine of the twelve models and Snowflake by ten and BigQuery carries 12 labels and Snowflake 19, so the shares are not directly comparable.

BigQuery

accepted challenger

By Google Cloud Platform, founded 2008. Named in three categories this edition.

Snowflake

criticized challenger

By Snowflake Inc., San Mateo, United States, founded 2012. Named in four categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%26%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 11; printed, not drawn.
Labels1219A 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.Segment was named alongside these two in eight of the twelve direct answers. Segment vs BigQuery · Segment vs Snowflake · Hightouch vs BigQuery

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 management platforms 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
Direct00
Paraphrase00
Comparative24
Budget-constrained21
Scale-constrained00
Negative005 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.

Across every category in the September 2026 Edition, BigQuery and Snowflake were named in the same answer 208 times, of the 222 answers naming BigQuery and the 241 naming Snowflake. In those answers Snowflake took the first choice fifty-one times and BigQuery sixty.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where BigQuery and Snowflake stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
BigQuery Snowflake first choice named as an alternative argued againstblank: not namedEach cell is one answer, BigQuery on the left and Snowflake on the right.

The direct prompt

The plain question, one answer per model, grouped by where BigQuery and Snowflake stood in it.

Neither was named

12 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Salesforce Data Cloud alternatives: 6sense, BlueConic, Hightouch, Segment
GPT-5.4 miniHightouch alternatives: ActionIQ, BlueConic, Tealium
Gemini 3.5 FlashAdRoll ABM, BlueConic, Hightouch, HubSpot Marketing Hub alternatives: Segment
Perplexity SonarDemandbase alternatives: Hightouch, Segment, Tealium
Grok 4.1 FastSegment alternatives: BlueConic, Hightouch, Tealium
Mistral SmallAdRoll ABM alternatives: 6sense Revenue AI, Clay, Factors.ai, HubSpot Breeze Intelligence, HubSpot Marketing Hub, Salesforce Data Cloud, Segment, Terminus, ZoomInfo MarketingOS
DeepSeek V4 FlashHightouch alternatives: BlueConic, Segment
Llama 4 MaverickMCH Strategic Data alternatives: Improvado, ZoomInfo
Qwen 3.7 FlashSegment alternatives: BlueConic, Customer.io, Hightouch
Kimi K2Apollo.io, Segment alternatives: 6sense, BlueConic, Demandbase, HubSpot Breeze Intelligence
GLM 4.7 FlashXZoomInfo Marketing alternatives: AdRoll ABM, Demandbase, Lotame Spherical Platform
MiniMax M2.5Lotame alternatives: Apollo.io, Salesforce Data Cloud

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
Level: the same share of first choices.
BigQuery0%#11 of 13
Snowflake0%#9 of 13
The full small business standing →
Mid-marketThe figures above
BigQuery leads by two points.
BigQuery4%#4 of 11
Snowflake2%#7 of 11
The full mid-market standing →
Enterprise
The order flips: Snowflake leads at enterprise.
Snowflake2%#8 of 13
BigQuery0%#11 of 13
The full enterprise standing →

What the models said about BigQuery

No label in this category carried a quote.

What the models said about Snowflake

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Avoid Snowflake for sensitive data storage until security issues are resolved” Mistral Small · negative prompt · hard negative
“Choose Snowflake if your main goal is to build clean, fast, and secure business reports, dashboards, and standard analytics pipelines.” Gemini 3.5 Flash · comparative prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.