Data warehouses · October 2026 Edition
Snowflake vs Amazon Redshift
Eleven of fourteen models named Snowflake first on the direct prompt; zero named Amazon Redshift. Both were named by all fourteen models and Snowflake carries 78 labels and Amazon Redshift 80, so the shares are not directly comparable.
Named in eight categories this edition.
Named in three categories this edition.
First-choice share49%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 8; printed, not drawn.
Labels7880A 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 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.
SnowflakeFirst choices, of fourteen modelsAmazon Redshift
Direct110
Paraphrase90
Comparative40
Budget-constrained016 against Snowflake
Scale-constrained50
Negative0011 against Snowflake · 13 against Amazon Redshift
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, Snowflake and Amazon Redshift were named in the same answer 216 times, of the 265 answers naming Snowflake and the 227 naming Amazon Redshift. In those answers Amazon Redshift took the first choice seven times and Snowflake seventy-four.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Snowflake and Amazon Redshift stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | | | |
| GPT-6 Luna | | | | | ||
| Muse Glimmer 30B | | | | | | |
Snowflake Amazon Redshift first choice named as an alternative argued againstblank: not namedEach cell is one answer, Snowflake on the left and Amazon Redshift on the right.The direct prompt
The plain question, one answer per model, grouped by where Snowflake and Amazon Redshift stood in it.
Snowflake first, Amazon Redshift an alternative
11 of 14 modelsAmazon Redshift was named in the answer but not as the choice, or not at all.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
DeepSeek V4 FlashGoogle BigQuery, Snowflake alternatives: Amazon Redshift
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 the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastGoogle BigQuery alternatives: Amazon Redshift, Snowflake
Kimi K2Google BigQuery alternatives: Amazon Redshift, Snowflake
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
Snowflake leads by nineteen points.
Snowflake24%#2 of 8Amazon Redshift5%#4 of 8Mid-marketThe figures above
Snowflake leads by forty-seven points.
Snowflake49%#1 of 8Amazon Redshift2%#3 of 8Enterprise
Snowflake leads by fifty points.
Snowflake62%#1 of 7Amazon Redshift12%#3 of 7What the models said about Snowflake
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“What to Avoid on a Tight Budget - Snowflake: ... It's typically the most expensive option.” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid Snowflake on a tight budget.” Muse Glimmer 30B · budget prompt · hard negative
“For a typical mid-sized B2B company, I'd recommend Snowflake because: 1. It provides the best balance of features, scalability, and flexibility” MiniMax M2.5 · paraphrase prompt · first choice
“If your team wants a platform that "just works" with almost zero database administration (DBA) overhead, Snowflake is the top recommendation.” Gemini 3.5 Flash · paraphrase prompt · first choice
“"Snowflake offers balance. Stable, reliable, and scalable, and with smart engine sizing and auto-suspend, it can be cost-effective too."” Muse Glimmer 30B · comparative prompt · first choice
What the models said about Amazon Redshift
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Why avoid it: In a provisioned Redshift environment, you pay for the nodes 24/7 regardless of whether you are querying them.” Gemini 3.5 Flash · negative prompt · hard negative
“Most frequent cautions: Highest complexity for optimization/maintenance... Avoid if: Non-AWS shop, small team, or need serverless ease.” Grok 4.1 Fast · negative prompt · soft negative
“single-cloud options such as BigQuery on GCP and Redshift on AWS, are the ones practitioners most often advise to evaluate carefully” Muse Glimmer 30B · negative prompt · soft negative
“Google BigQuery and Amazon Redshift are typically the most budget-friendly options” Qwen 3.7 Flash · budget prompt · first choice
“If you are AWS-native with steady, high-concurrency reporting workloads, Redshift / Redshift Serverless gives predictable provisioned throughput.” Muse Glimmer 30B · paraphrase prompt · alternative
“Amazon Redshift Serverless has closed the gap significantly, but historically, traditional Redshift required more hands-on optimization.” Gemini 3.5 Flash · scale prompt · alternative
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.