Sequel - 2026 Pricing, Features, Reviews & Alternatives

Sequel is a cloud-based AI data analyst platform that connects to databases, data warehouses, and APIs, allowing business users to ask questions in plain English and receive results as charts, tables, or live dashboards — without SQL knowledge or a dedicated BI tool. Generated SQL is displayed alongside every result for full transparency, and read-only database access with encrypted connections ensures data integrity throughout.

Sequel targets mixed teams of technical and non-technical staff across product, marketing, finance, sales, and executive functions, from startups through enterprise organizations. Core capabilities include natural language to SQL query generation, automatic chart and visualization rendering (bar, line, scatter, pie, and more), cross-source joins across multiple databases and APIs in a single question, sortable and filterable data grids, Slack integration for in-workflow querying, and shared team workspaces with shared connections and query history. A full audit log records every query and action. An MCP server enables use inside Claude and Cursor. Enterprise deployments support self-hosted infrastructure with bring-your-own API keys, keeping all data within the customer's own environment.

Self-learning agents build a working model of connected data over time, tracking query patterns, corrections, and team feedback to develop knowledge of business terminology, KPI definitions, and table relationships. Agents persist context across sessions, improving accuracy with use. Multi-agent coordination develops shared context about the business data model across the team. No data is moved to or processed on Sequel's own servers — SQL is generated on the platform and executed directly against the customer's database engine. Flat monthly pricing tiers (not per-seat) support cost-predictable rollout across large teams, with a free plan covering 3 seats and 1 data source, requiring no credit card and no time limit.