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Cortex Analyst: managed text-to-SQL over Snowflake structure via REST

Cortex Analyst

Snowflake docs on Cortex Analyst—an LLM feature for natural-language questions on structured data, exposed as a REST API.

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Cortex Analyst | Snowflake Documentation

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Cortex Analyst helps build applications that answer business questions from structured data in Snowflake. Users ask in natural language and get answers without writing SQL. Available as a REST API, it can plug into Streamlit, Slack, Teams, or custom chat UIs. The docs frame production conversational analytics as hard to balance for accuracy, latency, and cost; Analyst is a managed agentic system that generates text-to-SQL and runs queries on Snowflake’s engine. Key features include self-serve natural-language analytics and an API-first integration model, powered by large language models that run inside Snowflake. Snowflake recommends moving to Cortex Agents for the same capabilities with higher answer quality.

Data and product teams can expose governed warehouse data to non-SQL users without standing up their own text-to-SQL stack, RAG patterns, or GPU planning.

Reliable answers still depend on structured schemas and business meaning in Snowflake; the API is a consumer of that shared model, not a replacement for it.

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Abstract

Cortex Analyst is a fully managed Snowflake Cortex feature that answers business questions on structured Snowflake data in natural language without users writing SQL. It ships as a REST API for embedding in apps and aims to produce accurate text-to-SQL without teams building custom RAG stacks or managing GPUs. Snowflake recommends transitioning to Cortex Agents, which includes Analyst capabilities.

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cortex analystsnowflaketext-to-sqlnatural languagellmrest apiLarge Language ModelsAI AgentsSemantic LayerData Engineering
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