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Data warehouses · September 2026 Edition

Snowflake vs ClickHouse Cloud

Nine of twelve models named Snowflake first on the direct prompt; zero named ClickHouse Cloud. Snowflake was named by twelve of the twelve models and ClickHouse Cloud by eleven and Snowflake carries 65 labels and ClickHouse Cloud 22, so the shares are not directly comparable.

Snowflake

criticized default

Named in three categories this edition.

ClickHouse Cloud

accepted challenger

Named in one category this edition.

First-choice share47%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate28%14%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 7; printed, not drawn.
Labels6522A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Snowflake reading right to left. Rank and label count are printed, not drawn.Google BigQuery was named alongside these two in eleven of the twelve direct answers. Snowflake vs Google BigQuery · Google BigQuery vs ClickHouse Cloud

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 warehouses page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
SnowflakeFirst choices, of twelve modelsClickHouse Cloud
Direct901 against Snowflake · 1 against ClickHouse Cloud
Paraphrase90
Comparative80
Budget-constrained017 against Snowflake
Scale-constrained30
Negative1010 against Snowflake · 2 against ClickHouse Cloud
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 Snowflake and ClickHouse Cloud stood in it.

Snowflake first, ClickHouse Cloud not the choice

9 of 12 modelsClickHouse Cloud was named in the answer but not as the choice, or not at all.
GPT-5.4 miniSnowflake alternatives: Amazon Redshift, Databricks SQL, Google BigQuery
Gemini 3.5 FlashSnowflake alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric
Perplexity SonarSnowflake alternatives: Amazon Redshift, Azure SQL Database, Databricks, Google BigQuery, Microsoft Fabric
Grok 4.1 FastSnowflake alternatives: Amazon Redshift, Google BigQuery
Mistral SmallGoogle BigQuery, Snowflake
DeepSeek V4 FlashSnowflake alternatives: Amazon Redshift, Google BigQuery
Llama 4 MaverickSnowflake alternatives: Azure SQL Database, Google BigQuery
Qwen 3.7 FlashSnowflake alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric
MiniMax M2.5Snowflake alternatives: Amazon Redshift, Azure Synapse Analytics, Databricks, Google BigQuery

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Kimi K2Google BigQuery alternatives: Amazon Redshift, Snowflake
GLM 4.7 FlashXGoogle BigQuery alternatives: Amazon Redshift, Microsoft Fabric, Snowflake

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice alternatives: Firebolt

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
Snowflake leads by twelve points.
Snowflake12%#2 of 8
ClickHouse Cloud0%#6 of 8
The full small business standing →
Mid-marketThe figures above
Snowflake leads by forty-four points.
Snowflake47%#1 of 7
ClickHouse Cloud2%#3 of 7
The full mid-market standing →
Enterprise
Snowflake leads by seventy-two points.
Snowflake72%#1 of 8
ClickHouse Cloud0%#8 of 8
The full enterprise standing →

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 eight in this category shown.

“Avoid Snowflake for tight budgets” DeepSeek V4 Flash · budget prompt · hard negative
“Snowflake is also powerful, but you should watch warehouse usage, autosuspend/autoresume settings, cloud-services charges, and serverless features” GPT-5.4 mini · negative prompt · soft negative
“Traditional cloud data warehouses like Snowflake and BigQuery, which may not be suitable for operational workloads or real-time analytics.” Llama 4 Maverick · negative prompt · soft negative
“Snowflake is a popular choice among mid-sized companies due to its near-zero maintenance, ecosystem maturity, and marketplace integrations.” Llama 4 Maverick · direct prompt · first choice
“For most mid-sized B2B companies, Snowflake is the top recommendation due to its ease of use, scalability, and strong ecosystem.” Mistral Small · paraphrase prompt · first choice
“Snowflake is the most common "best default" because it tends to balance ease of use, governance, performance, and ecosystem fit” GPT-5.4 mini · direct 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. Six of seven in this category shown.

“Less mature for multi‑tenant concurrency and BI tooling; requires more tuning” MiniMax M2.5 · direct prompt · soft negative
“more tuning and topology planning may be needed for strict SLAs” Perplexity Sonar · negative prompt · soft negative
“Caution with a Strong Condition: ClickHouse” DeepSeek V4 Flash · negative prompt · soft negative
“or ClickHouse Cloud if your priority is the lowest cost-performance for analytics-heavy workloads” Perplexity Sonar · budget prompt · first choice
“ClickHouse Cloud, which is described as being "Fast & Low-Cost" and suitable for large-scale data warehousing.” Llama 4 Maverick · negative prompt · alternative
“Known for high-performance, real-time analytics, especially for large-scale, low-latency queries.” Mistral Small · comparative prompt · alternative
Also compared

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.