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Data warehouses · October 2026 Edition

Google BigQuery vs ClickHouse Cloud

Three of fourteen models named Google BigQuery first on the direct prompt; zero named ClickHouse Cloud. Google BigQuery was named by fourteen of the fourteen models and ClickHouse Cloud by twelve and Google BigQuery carries 80 labels and ClickHouse Cloud 25, so the shares are not directly comparable.

Google BigQuery

endorsed leader

Named in five categories this edition.

ClickHouse Cloud

accepted challenger

Named in six categories this edition.

First-choice share47%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 8; printed, not drawn.
Labels8025A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google BigQuery reading right to left. Rank and label count are printed, not drawn.Snowflake was named alongside these two in thirteen of the fourteen direct answers. Snowflake vs Google BigQuery · Snowflake vs ClickHouse Cloud · Google BigQuery vs Amazon Redshift

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data warehouses page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Google BigQueryFirst choices, of fourteen modelsClickHouse Cloud
Direct30
Paraphrase60
Comparative30
Budget-constrained1211 against ClickHouse Cloud
Scale-constrained30
Negative0013 against Google BigQuery · 2 against ClickHouse Cloud
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Google BigQuery and ClickHouse Cloud were named in the same answer seventy times, of the 258 answers naming Google BigQuery and the 200 naming ClickHouse Cloud. In those answers ClickHouse Cloud took the first choice one time and Google BigQuery thirty-one.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Google BigQuery and ClickHouse Cloud stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Google BigQuery ClickHouse Cloud first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google BigQuery on the left and ClickHouse Cloud on the right.

The direct prompt

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

Google BigQuery first, ClickHouse Cloud not the choice

3 of 14 modelsClickHouse Cloud was named in the answer but not as the choice, or not at all.
Grok 4.20Google BigQuery alternatives: Amazon Redshift, Snowflake
DeepSeek V4 FlashGoogle BigQuery, Snowflake alternatives: Amazon Redshift
Kimi K2Google BigQuery alternatives: Amazon Redshift, Snowflake

Neither was the first choice, one was named

10 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Snowflake alternatives: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery
GPT-5.4 miniSnowflake alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse
Gemini 3.5 FlashSnowflake alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse, MotherDuck
Perplexity SonarSnowflake alternatives: Azure SQL Database, Google BigQuery, Microsoft Fabric Data Warehouse
Mistral SmallSnowflake alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse
Qwen 3.7 FlashSnowflake alternatives: Amazon Redshift, Databricks SQL, Google BigQuery
GLM 4.7 FlashXSnowflake alternatives: Amazon Redshift, Google BigQuery
MiniMax M2.5Snowflake alternatives: Amazon Redshift, Google BigQuery
GPT-6 LunaSnowflake alternatives: Amazon Redshift, Databricks SQL, Google BigQuery
Muse Glimmer 30BSnowflake alternatives: Amazon Redshift, Azure SQL Database, Google BigQuery

Neither was named

1 of 14 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
Google BigQuery leads by sixty-three points.
Google BigQuery63%#1 of 8
ClickHouse Cloud0%#5 of 8
The full small business standing →
Mid-marketThe figures above
Google BigQuery leads by forty-five points.
Google BigQuery47%#2 of 8
ClickHouse Cloud2%#4 of 8
The full mid-market standing →
Enterprise
Google BigQuery leads by nineteen points.
Google BigQuery19%#2 of 7
ClickHouse Cloud0%#7 of 7
The full enterprise standing →

What the models said about Google 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.

“On-demand charges are based on data processed... configure controls—or compare capacity pricing—before opening it up to lots of users.” GPT-6 Luna · negative prompt · soft negative
“Exercise Caution on Billing Surprises... harder for engineers to predict exactly what a specific query will cost” Qwen 3.7 Flash · negative prompt · soft negative
“BigQuery is frequently cited as particularly risky for novices—people have reported massive unexpected bills” MiniMax M2.5 · negative prompt · soft negative
“Choose Google BigQuery if: Your workloads are unpredictable, you want to avoid "idle" costs, and you want safety against accidental massive bills.” Qwen 3.7 Flash · budget prompt · first choice
“BigQuery is the most popular choice for budget-conscious companies because it requires zero server management and has a generous free tier.” Gemini 3.5 Flash · budget prompt · first choice
“Snowflake if you have the budget and want to scale smoothly, or BigQuery if cost efficiency and serverless simplicity matter most” Kimi K2 · paraphrase prompt · first choice

What the models said about ClickHouse Cloud

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

“startups like ClickHouse, Tinybird, or MotherDuck are popular, they carry different risks than established giants” GLM 4.7 FlashX · negative prompt · soft negative
“worth evaluating but may not yet have the maturity of the top three” Mistral Small · negative prompt · soft negative
“ClickHouse Cloud delivers the strongest overall cost-performance, with the lowest runtime × cost value.” Claude Haiku 4.5 · budget 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.