Kvery vs Raw Query

Kvery is an SQL workspace that turns a written query into live tables, charts, REST endpoints, and shareable dashboards without you writing backend code. You connect MySQL, PostgreSQL, SQL Server, or MariaDB, write or generate SQL, and the platform builds the data views and APIs around that query in minutes instead of a multi-week sprint.

Most SQL clients stop at query results. Kvery ships the query as a product surface: auto-generated REST routes, drag-and-drop dashboards, scheduled runs with email or webhook delivery, and a built-in Model Context Protocol server so Claude, Cursor, or n8n can search and execute your saved queries with scoped tokens. That combination targets teams who want SQL-first delivery rather than a separate BI suite or hand-built API layer.

Developers, data analysts, and small product teams use Kvery to prototype internal tools, client reporting, and ops dashboards. Role-based workspaces, AES-256 encrypted connections, and native iOS and Android apps make it workable for production data when you need mobile access or tight permission boundaries.

Raw Query lets you chat with Postgres, MySQL, and MariaDB using plain English instead of writing SQL by hand. Paste a database connection string, ask questions like who joined your Pro plan last week, and Raw Query returns answers or CSV exports from a browser or mobile device.

Compared with BI dashboards that need setup and SQL clients that assume query fluency, Raw Query targets quick ad hoc questions from founders and analysts. Postgres connections support inserts and updates with confirmation prompts, while MySQL and MariaDB connections focus on read queries, so teams on Postgres get broader write access.

Raw Query fits solo founders, developers avoiding one-off internal tools, and BI users who want answers without learning SQL syntax. The free plan includes 300 successful queries per month across two databases, and paid tiers raise query limits, seats, and support priority up to unlimited seats on the Team plan.