ClickHousevsOracle Autonomous Data Warehouse

How 10 AI models weigh ClickHouse against Oracle Autonomous Data Warehouse on the 1 buying question where both came up.

ClickHouse
86%of answers named it
Oracle Autonomous Data Warehouse
73%of answers named it
Placed higher
26–14times ClickHouse vs Oracle Autonomous Data Warehouse, over 40 model rankings that listed either
Models leaning
4–1toward ClickHouse vs Oracle Autonomous Data Warehouse; 5 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

ModelClickHouseOracle Autonomous Data WarehousePlaced higherLeans
Claude Haiku 5.575%100%2–2Even
GPT-6 Luna92%100%1–3Oracle Autonomous Data Warehouse
Gemini 4 Argon100%92%4–0ClickHouse
Qwen 3.8 Flash92%58%2–2Even
DeepSeek V4 Pro67%83%2–2Even
GLM-5.3100%25%4–0ClickHouse
Kimi K3100%75%3–1ClickHouse
MiniMax M350%58%2–2Even
Mistral Large 483%58%2–2Even
Nemotron 3 Ultra100%75%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 Oracle Autonomous Data Warehouse

One reason per model, from the shared questions

  • Claude Haiku 5.5Self-managing Oracle warehouse that suits existing Oracle-heavy enterprise estates.
  • GPT-6 LunaAutomated operations and high performance make it compelling for Oracle-centric enterprises.
  • Gemini 4 ArgonSelf-tuning, high-security warehouse that excels for heavy transactional and legacy Oracle enterprises.
  • Qwen 3.8 FlashGood automation but weaker mindshare outside Oracle shops.
  • DeepSeek V4 ProSelf-tuning, strong in Oracle-heavy enterprises, solid security automation.
  • Kimi K3Good for Oracle-heavy enterprises but limited ecosystem appeal
  • MiniMax M3Self-tuning, great for Oracle-centric enterprise environments.
  • Mistral Large 4Fully self-managing with strong security and tuning for Oracle-centric enterprises.
  • Nemotron 3 UltraSelf-driving operations, Exadata performance

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

QuestionClickHouseOracle Autonomous Data Warehouse
Best cloud data warehouses86% #573% #6
Best databases for web apps1% #39·