Snowflake Cortex AI
Snowflake / snowflake.com
AI capabilities built into Snowflake Data Cloud allowing LLM SQL functions, document intelligence, and natural language data queries directly on data without movement.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
4
Free plan
No
API access
Yes
Open source
No
Platforms
4
What is Snowflake Cortex AI?
Snowflake Cortex AI brings LLM capabilities directly into the Snowflake data warehouse. SQL functions like SENTIMENT, SUMMARIZE, and COMPLETE apply LLM analysis to text columns using familiar SQL syntax without extracting data. Cortex Analyst provides natural language interface for business analysts to ask data questions with SQL-backed answers. Snowflake's Arctic LLM is available within Cortex at competitive token pricing. For organisations with data in Snowflake, Cortex keeps AI analysis within existing data governance and security boundaries.
How Snowflake Cortex AI works
Snowflake Cortex AI runs as ml platform software built around text and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, sql, and python, with API access for teams that want to embed it into their own products.
Watch Snowflake Cortex AI in action
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What makes it worth shortlisting
The capabilities that matter most for teams evaluating Snowflake Cortex AI.
LLM SQL functions
SQL functions applying LLM analysis to text data directly without data movement.
Document AI
Extracts structured information from PDFs stored in Snowflake into queryable fields.
Cortex Analyst
Natural language interface for Snowflake data allowing plain English questions with SQL-backed answers.
Best use cases
Who should use it
Pros
- 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
Cons
- Requires existing Snowflake account
- Consumption-based pricing can be expensive at large scale
- Arctic LLM quality varies vs frontier models by task
Is it worth the price?
Consumption-based within Snowflake. Requires existing Snowflake account. Free trial credits available.
Model
Usage-based
Starting price
Free
Free trial
Yes
Tools like Snowflake Cortex AI
Databricks AI competes for data lakehouse workloads. BigQuery ML provides AI within Google's warehouse. Azure Synapse provides similar capabilities in Azure.
Snowflake Cortex AI vs Databricks AI
A side-by-side look at the closest alternative in this category.
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
Technical & deployment info
Key facts about model providers, platforms, and team support.
Model Provider
Snowflake, Mistral, Meta
Models
Arctic, Llama, Mistral
Platforms
Web, SQL, Python, API
Deployment
SaaS
Integrations
Snowflake ecosystem, dbt, Sigma, Tableau, Power BI, Python, REST API
Team Collaboration
Yes
Launch Year
2023
Security & privacy
Compliance signals and data-handling notes as reported by the vendor.
Snowflake enterprise security: SOC 2 Type II, ISO 27001, HIPAA, FedRAMP, GDPR. Data stays within Snowflake's governance framework.
Cortex AI processes data within Snowflake's security boundary. Built-in functions do not move data to external AI systems.
What users are saying
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Common questions about Snowflake Cortex AI
Editorial Verdict
Should you use Snowflake Cortex AI?
Snowflake Cortex AI is the natural choice for organisations with data in Snowflake wanting AI analysis within existing data governance.
Last verified July 24, 2026.