# Amazon Redshift vs ClickHouse Cloud: which do AI models recommend for data warehouses, October 2026

IT AI Recommendation Index, October 2026 Edition, Data warehouses. Zero of fourteen models named Amazon Redshift first on the direct prompt; zero named ClickHouse Cloud. Page: https://it-ai-index.com/it-data/data-warehouses/amazon-redshift-vs-clickhouse-cloud/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Amazon Redshift | 2% | #3 of 8 | 16% | 80 | 14 of 14 |
| ClickHouse Cloud | 2% | #4 of 8 | 12% | 25 | 12 of 14 |

## The direct prompt, model by model

- Claude Haiku 4.5: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Azure Synapse Analytics, Databricks SQL, Google BigQuery)
- GPT-5.4 mini: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse)
- Gemini 3.5 Flash: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse, MotherDuck)
- Grok 4.1 Fast: neither first, one named (first choices: Google BigQuery) (alternatives: Amazon Redshift, Snowflake)
- Mistral Small: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery, Microsoft Fabric Data Warehouse)
- DeepSeek V4 Flash: neither first, one named (first choices: Google BigQuery, Snowflake) (alternatives: Amazon Redshift)
- Qwen 3.7 Flash: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Databricks SQL, Google BigQuery)
- Kimi K2: neither first, one named (first choices: Google BigQuery) (alternatives: Amazon Redshift, Snowflake)
- GLM 4.7 FlashX: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery)
- MiniMax M2.5: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Google BigQuery)
- GPT-6 Luna: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Databricks SQL, Google BigQuery)
- Muse Glimmer 30B: neither first, one named (first choices: Snowflake) (alternatives: Amazon Redshift, Azure SQL Database, Google BigQuery)
- Perplexity Sonar: neither named (first choices: Snowflake) (alternatives: Azure SQL Database, Google BigQuery, Microsoft Fabric Data Warehouse)
- Llama 4 Maverick: neither named

## What the models said about Amazon Redshift

- "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)

## What the models said about ClickHouse Cloud

- "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)

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. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.