The Dilemma of Customer-Facing Analytics on Snowflake

Snowflake is an exceptional platform for internal BI, ad-hoc queries, and batch reporting. However, its pricing model—charging by compute virtual warehouse size per second—becomes ruinous when powering live, user-facing customer portals with thousands of concurrent users.

The Cost Reality

  • **Snowflake Medium Warehouse (4 Credits/hr)**: Running 24/7 across multiple clusters to avoid queueing during peak hours consumed over $45,000 monthly.
  • **ClickHouse on AWS EC2 (3x c6i.4xlarge nodes with GP3 NVMe)**: Total monthly infrastructure cost: **$4,180**.

    • Query Latency Comparison

    We tested 10,000 random client aggregations (time-bucketed sales, geographical cohort rollups):

    Query TypeSnowflake Medium ClusterClickHouse Vectorized EnginePerformance Factor
    7-Day Unique User Count (HyperLogLog)850 ms42 ms20x Faster
    30-Day Hourly Moving Average1,420 ms110 ms13x Faster
    Cohort Retention Heatmap (10M Rows)2,800 ms210 ms13x Faster

    ClickHouse achieves these numbers by storing columns as continuous byte streams on disk, applying vectorized SIMD instructions, and using sparse primary indexes that fit directly into RAM.