Calculating the True Cost ofSnowflake vs Custom.
Snowflake compute + storage costs can exceed $100K–$500K/year for mid-market companies. Calculate when custom data infrastructure makes sense.
Why Companies Outgrow Snowflake
Credit-based pricing makes costs difficult to predict and budget
Compute costs scale significantly with query complexity and concurrency
Data egress fees create hidden costs when accessing your own data
Auto-scaling can generate surprise bills from unmonitored workloads
Feature Matrix: Custom vs Snowflake
Pricing
Query Performance
Data Sharing
Cost Control
Scale
Frequently Asked Questions
How much does Snowflake cost per year?
Snowflake costs are consumption-based: compute credits ($2–$4/credit depending on tier) plus storage ($23–$40/TB/month) plus data egress fees. Mid-market companies typically spend $100,000–$500,000/year. Costs are notoriously difficult to predict due to the credit-based model.
Can custom data infrastructure replace Snowflake?
For companies with well-defined analytics needs, yes. A custom data warehouse on PostgreSQL/ClickHouse costs $85,000 to build with $10,000/year maintenance. Over 5 years: $135,000 vs. $500,000–$2,500,000 Snowflake. Custom is ideal when you know your query patterns and data volume.
Why are Snowflake costs so unpredictable?
Snowflake credit-based pricing ties costs to compute usage, which varies with query complexity, concurrency, and data volume. Auto-scaling features can generate surprise bills. Warehouse auto-resume can accumulate costs from idle connections. Custom infrastructure on fixed-cost servers eliminates all unpredictability.
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