Why per-query pricing breaks at AI scale
Every company running AI workloads on Snowflake hits the same wall. Here is how the two models compare.
| Pain Point | Snowflake Reality | MinusOneDB Alternative |
|---|---|---|
| Unpredictable costs | Per-query pricing. A single Cortex AI query on 1.18B records costs ~$5,000. 74% of companies struggle to achieve and scale AI value (BCG, 2024). | Capacity pricing. Fixed monthly cost. Query as much as you want. |
| AI agent costs explode | Every AI agent call is another billable query. Agentic workflows multiply costs 10-100x. | Agents query freely under capacity. AI-native by design. |
| Native AI agents locked to warehouse | Snowflake's $200M OpenAI/Anthropic partnerships bring LLM agents via Cortex, but data must live in Snowflake, agents are batch-optimised not real-time, and there is no native cost monitoring for AI workloads. | Production-ready today. Sub-second agent queries on billions of rows. Deploys inside your infrastructure. Flat rate, no credit surprises. |
| Data sovereignty gaps | Data sits in Snowflake's infrastructure. Schrems II complicates EU transfers. GDPR fines average EUR 4.4M per violation (9x increase since 2019). | Your data, your infrastructure. Full sovereignty. GDPR-compliant by architecture. |
| Vendor lock-in | Proprietary format. Migration costs measured in months and millions. | Open architecture. Snowflake import tool available (beta). Developer-friendly REST API. |
Verified data points that explain why Snowflake customers are looking for alternatives.
The database industry sits on a spectrum. Legacy vendors charge per query. MinusOneDB charges for capacity.
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