← All decisions
Cloud data warehouse
I need a cloud data warehouse for analytics over large datasets. Which should I use? Give your ranked top 3.
Top pick by run
| Model | Jul 3, 2026 | Jul 23, 2026 |
|---|---|---|
| Claude Fable 5 | ||
| Claude Opus 4.8 | ||
| Claude Sonnet 4.6 | ||
| Claude Haiku 4.5 | ||
| GPT-5.5 | ||
| GPT-5.6 Sol | — |
Each column is one run. Click a pick to see that model's full ranking and reasoning. Green marks a change from the previous run.
Claude Fable 5
Jul 23, 2026- 1SnowflakeIts separation of storage and compute with near-zero maintenance makes it the most flexible and easy-to-operate warehouse for large-scale analytics across any cloud.
- 2Google BigQueryFully serverless with automatic scaling and pay-per-query pricing, it excels at ad-hoc analytics over massive datasets without capacity planning.
- 3Amazon RedshiftA mature, cost-effective choice with deep AWS integration, ideal if your data and workloads already live in the AWS ecosystem.