Seek AI vs Vanna AI

Seek AI is an agentic platform for asking questions about business data in plain language and receiving answers and insights. Its Dialogue, Semantic Parsing, and Explanation agents interpret questions, generate database queries, and summarize results. Seek is offered as a Snowflake Native App, a managed service, and embedded AI powered by Seek. Listed warehouse integrations include Snowflake, BigQuery, Redshift, Databricks, and Azure SQL Server and Synapse; the company also lists SQL Server, dbt, and Slack. The SEEKER-1 natural-language-to-SQL engine is available through a web app, Slack integration, and API, which can be connected to other software. Seek Native runs within Snowflake’s managed environment, where Seek says data need not be moved or made accessible to app providers. The product overview includes an analyst-in-the-loop review guardrail. Seek says it received a clean SOC 2 Type II attestation report.

Vanna AI is an open-source, user-aware agent framework that connects language models to databases. Agents can run SQL queries, generate charts, and call custom functionality through tools. Tool Memory records successful interactions and searches earlier queries and tool-use patterns when handling similar questions. Listed language-model options include Anthropic, OpenAI, Azure OpenAI, Gemini, and Ollama. Database integrations include SQLite, PostgreSQL, MySQL, MS SQL, Snowflake, and BigQuery; memory options include demo in-memory storage, ChromaDB, and Pinecone. Vanna can run through Vanna Cloud or by self-hosting, with FastAPI and Flask server choices. Documentation describes user-specific access controls and tool access groups. Explorer costs $50 a month for 20 questions per day, while Team costs $500 a month for 300. Enterprise pricing is custom, with unlimited questions and listed enterprise features. The security FAQ describes the premium backend as in development/demo stage and lists current limitations.