ClickHousevsGoogle Cloud SQL

How 10 AI models weigh ClickHouse against Google Cloud SQL on the 1 buying question where both came up.

ClickHouse
86%of answers named it
Google Cloud SQL
3%of answers named it
Placed higher
36–2times ClickHouse vs Google Cloud SQL, over 38 model rankings that listed either
Models leaning
9–0toward ClickHouse vs Google Cloud SQL; 1 even

Which models prefer which

Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording

ModelClickHouseGoogle Cloud SQLPlaced higherLeans
Claude Haiku 5.575%0%3–0ClickHouse
GPT-6 Luna92%0%4–0ClickHouse
Gemini 4 Argon100%0%4–0ClickHouse
Qwen 3.8 Flash92%25%2–2Even
DeepSeek V4 Pro67%0%4–0ClickHouse
GLM-5.3100%0%4–0ClickHouse
Kimi K3100%0%4–0ClickHouse
MiniMax M350%0%3–0ClickHouse
Mistral Large 483%0%4–0ClickHouse
Nemotron 3 Ultra100%0%4–0ClickHouse

What the models say about ClickHouse

One reason per model, from the shared questions

  • Claude Haiku 5.5Exceptionally fast columnar engine for real-time analytics at low cost.
  • GPT-6 LunaVery fast analytical queries and efficient performance for real-time, high-volume workloads.
  • Gemini 4 ArgonBlistering speed and compression for real-time analytics, observability, and massive time-series workloads.
  • Qwen 3.8 FlashExceptional real-time performance on high-volume queries.
  • DeepSeek V4 ProOpen-source columnar speed demon, ideal for real-time analytics and event data.
  • GLM-5.3Blazing-fast real-time analytics; increasingly competitive as a managed cloud.
  • Kimi K3Blazing fast real-time OLAP at scale, increasingly popular for user-facing analytics.
  • MiniMax M3Blazing-fast columnar analytics, ideal for real-time OLAP.
  • Mistral Large 4Open-source powerhouse with unmatched real-time ingestion and query performance.
  • Nemotron 3 UltraSub-second analytics, columnar compression

What the models say about Google Cloud SQL

One reason per model, from the shared questions

No reasons given.

Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.

Question by question

Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first

QuestionClickHouseGoogle Cloud SQL
Best cloud data warehouses86% #53% #19