Data warehouses · October 2026 Edition
Google BigQuery vs Amazon Redshift
Three of fourteen models named Google BigQuery first on the direct prompt; zero named Amazon Redshift. Both were named by all fourteen models and both carry 80 labels, so the shares below are directly comparable.
Named in five categories this edition.
Named in three categories this edition.
First-choice share47%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 8; printed, not drawn.
Labels8080Equal, which is what makes the shares comparable.
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 Amazon Redshift · Google BigQuery vs ClickHouse Cloud
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 modelsAmazon Redshift
Direct30
Paraphrase60
Comparative30
Budget-constrained121
Scale-constrained30
Negative0013 against Google BigQuery · 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, Google BigQuery and Amazon Redshift were named in the same answer 222 times, of the 258 answers naming Google BigQuery and the 227 naming Amazon Redshift. In those answers Amazon Redshift took the first choice six times and Google BigQuery seventy-seven.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Google BigQuery 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 | | | | | | |
Google BigQuery Amazon Redshift first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google BigQuery on the left and Amazon Redshift on the right.The direct prompt
The plain question, one answer per model, grouped by where Google BigQuery and Amazon Redshift stood in it.
Google BigQuery first, Amazon Redshift an alternative
3 of 14 modelsAmazon Redshift was named in the answer but not as the choice, or not at all.Grok 4.1 FastGoogle 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 fifty-eight points.
Google BigQuery63%#1 of 8Amazon Redshift5%#4 of 8Mid-marketThe figures above
Google BigQuery leads by forty-five points.
Google BigQuery47%#2 of 8Amazon Redshift2%#3 of 8Enterprise
Google BigQuery leads by six points.
Google BigQuery19%#2 of 7Amazon Redshift12%#3 of 7What 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 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.