Agentsql vs Seek AI

AgentSQL is a web service that turns plain-English questions about connected databases into read-only SQL queries, then returns a chart, table, and plain-English answer. Each response shows the exact SQL, and users can rephrase their question to have the service rewrite and rerun it. Supported connections are Postgres, MySQL, Snowflake, and BigQuery. Connections use least-privilege read-only credentials, can be limited to selected tables, and can be revoked. AgentSQL says it encrypts connections in transit, does not copy database tables or build a shadow warehouse, and does not use database contents, queries, or results to train AI models. It stores query history; Team and Scale also retain result rows. Plans are billed yearly: Starter costs $24 per month, Team $59 per month, Scale $179 per month, and Enterprise $299 per month. Monthly allowances are 600, 1,500, 5,000, and 8,000 questions respectively, with no more than one tenth usable in a day. The service targets founders, operations teams, analysts, and product managers.

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.