Seaquel Database Client

@seaquel.app

19 Followers 1 Following

It's the SQL client I've always wanted and it turns out, others want it too - developed by @mikenikles.com. Test in the browser or download at seaquel.app.

A screenshot that shows a SQL query with a JOIN and its EXPLAIN ANALYZE output in a panel below.
A screenshot of a table schema for a table called all_types. It lists all available Postgres data types.
A screenshot of the pagination footer of query results. It shows that data is being streamed and provides a Cancel button to abort a query.
Vim & Emacs Keybindings: Seaquel supports Vim and Emacs keybinding modes in the query editor for developers who prefer modal or Emacs-style editing. Switch modes from the editor settings panel — your choice is saved and applied automatically in every tab. Vim mode includes normal, insert, and visual modes with common motions and commands. Emacs mode supports standard keybindings like Ctrl+A, Ctrl+E, Ctrl+K, and more.
Drag & Drop Files: Drag and drop data files directly into Seaquel to start querying them immediately. Supported formats include Parquet, CSV, JSON, Excel, and DuckDB database files. Each dropped file opens in an in-memory DuckDB instance, so you can explore and analyze data without setting up a connection first. A visual overlay guides you through the process.
Split Panes: Split your workspace horizontally or vertically to view multiple queries, results, dashboards, or any combination side by side. Each pane is fully independent — you can execute a query in one pane while reviewing results in another. Drag the divider to resize panes to your preferred proportions.
Custom Dashboards: Build custom dashboards with a drag-and-drop canvas. Add KPI widgets that display a single metric, chart widgets (bar, line, pie, scatter) powered by SQL queries, and table widgets that show live query results. Each widget is independently resizable, and you can connect different widgets to different databases within the same dashboard.
Natural Language to SQL: Type a question in plain English — like "show me the top 10 customers by revenue this quarter" — and the AI assistant generates the corresponding SQL query. It understands your database schema, the currently active connection, and the query you're working on, so the results are contextual and ready to execute.
Create Tables: Create new tables directly in the app with a visual form builder. Add columns, pick data types from a database-specific list, set nullability and default values, and designate primary keys — all without writing a single line of DDL. The generated CREATE TABLE statement is previewed before execution so you can verify it.
Staged Edits: When you edit cells, insert rows, or delete records, changes are queued as pending modifications instead of hitting the database immediately. A dedicated panel shows every staged change with a human-readable description. Review the full batch, discard individual changes, or apply them all at once — giving you a safety net for bulk data work.