Best data warehouse for analytics

Combined ranking

1. 1
   Snowflakeincumbent—15 pts

   GPT #1Claude #1Gemini #1

   Best all-around enterprise analytics warehouse: strong SQL, elastic workload isolation, mature governance, cross-cloud availability, data sharing/marketplace, broad BI ecosystem, and increasingly useful native AI features

   To stay #1 Make performance-per-dollar more predictable and transparent

2. 2
   BBigQuery—11 pts

   GPT #2Claude #3Gemini #2

   Best serverless analytics experience: massive scale with minimal ops, excellent ad hoc SQL, strong geospatial/ML integrations, deep Google Cloud data tooling, and simple capacity or on-demand pricing choices

   To rank higher Improve cross-cloud neutrality and enterprise data-sharing reach outside Google Cloud

3. 3
   Databricksincumbent—10 pts

   GPT #3Claude #2Gemini #3

   Best price-performance at scale on open formats (Delta, Iceberg via UniForm), unifies warehousing with data engineering, streaming, and AI in one platform, and Photon-powered Databricks SQL is now a genuine warehouse, not just a lakehouse pitch

   To rank higher Simplify the SQL-analyst experience — administration, workspace sprawl, and tuning still demand more platform engineering than Snowflake's turnkey feel

4. 4
   Amazon Redshiftincumbent—6 pts

   GPT #4Claude #4Gemini #4

   Best AWS-native warehouse: mature SQL engine, tight AWS integration, RA3 and Serverless options, strong price-performance for AWS estates, Spectrum, data sharing, and zero-ETL integrations

   To rank higher Reduce tuning/operations friction and improve cross-cloud openness

5. 5
   Microsoft Fabric—2 pts

   GPT #5Claude #5Gemini —

   Best Microsoft-stack analytics bet: unified SaaS analytics with OneLake, Power BI, SQL familiarity, lakehouse/warehouse integration, and huge enterprise distribution through Microsoft

   To rank higher Prove mature performance, governance, and cost isolation at Snowflake/BigQuery scale

6. 6
   ClickHouse—1 pts

   GPT —Claude —Gemini #5

   Unmatched speed and efficiency for real-time analytics, time-series data, and log processing at massive scale.

   To rank higher Improve performance and ease-of-use for complex multi-table joins and traditional OLAP reporting workloads.

Rank history

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously