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Snowflake Cortex AI vs Databricks AI
This comparison was retrieved by database IDs selected from the catalog.
Snowflake Cortex AI
Snowflake
Databricks AI
Databricks
Consumption-based within Snowflake. Requires existing Snowflake account. Free trial credits available.
No public flat pricing. Usage-based: Databricks Units (DBUs) from ~$0.20/DBU. Enterprise custom negotiated pricing. Free trial available.
Snowflake enterprise security: SOC 2 Type II, ISO 27001, HIPAA, FedRAMP, GDPR. Data stays within Snowflake's governance framework.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. FedRAMP authorised. Enterprise data handling agreements. Data remains within customer's cloud account.
Cortex AI processes data within Snowflake's security boundary. Built-in functions do not move data to external AI systems.
Customer data processed within the customer's own AWS, Azure, or GCP cloud account — Databricks does not have access to customer data. Enterprise data handling agreements available.
- AI analysis stays within Snowflake's data governance
- SQL-based LLM functions are familiar to data teams
- Cortex Analyst enables self-service analytics
- Arctic LLM availability reduces token cost for high-volume workloads
- Unified platform for data and AI eliminates fragmentation between data and ML toolchains
- LLM fine-tuning on proprietary data enables building AI specific to company knowledge
- Data processed within customer's own cloud account — strong data governance and sovereignty
- MLflow open source standard for ML tracking ensures portability
- Requires existing Snowflake account
- Consumption-based pricing can be expensive at large scale
- Arctic LLM quality varies vs frontier models by task
- Usage-based pricing can be expensive at scale without careful cost management
- Steep learning curve for teams new to the Databricks/Spark paradigm
- Requires existing cloud infrastructure (AWS, Azure, GCP) — not standalone SaaS
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