Seaquel

Name: Seaquel — Download page. Cross-platform visual database client
Availability: InStock
Rating: 5 (1 reviews)
Author: Seaquel

Seaquel — Free Download. Cross-platform visual database client

Seaquel is a desktop application for databases with a visual workspace and native connectivity. Compatible with PostgreSQL, MySQL, SQLite and more, it runs on macOS, Windows and Linux. It includes tools for performance analysis, SQL learning and collaboration via Git repositories, all with performance optimized in Rust.

★★★★★

5.0(1 ratings)

Download Seaquel (Official links)

File size: 16.9 MB

The latest version of Seaquel is: 2026.4.2

Operating system: Windows, Linux, MacOS

Languages: English

Developer: Seaquel

Price: $0.00 USD

Canvas workspace. An infinite area where table nodes are placed to inspect data, write queries, and visualize results. Nodes connect to each other, creating workflows that update in real time. Integrates chart generation directly from query results on the canvas.
Visual execution plans. Interactive diagrams generated from EXPLAIN. They show planning time, execution time and estimated rows for each operation. Bottlenecks are highlighted with visual severity indicators to optimize slow queries.
SQL Editor with Monaco. The professional editor includes syntax highlighting, autocompletion, and one-click code formatting. Supports executing multiple statements simultaneously and formats SQL with configurable capitalization and indentation.
Integrated interactive tutorials. Structured lessons on SELECT, JOINs and aggregations with progressive challenges. The system validates user queries in real-time against a preloaded e-commerce practice database.
Visual query builder. Allows creating SQL by dragging tables and configuring JOINs, filters and aggregates on a canvas. Supports reusable {{variables}} and AND/OR boolean operators. Editing in SQL syncs both ways with the visual builder.
Query repositories synced with Git. Team-shared queries are managed as Git repositories. Users can clone, update, and organize SQL collections from the application's control panel without switching tools.
Entity-Relationship Diagram (ERD) viewer. Interactive diagrams of tables and their relationships, with search and filtering by schema. Export to PNG, SVG, or the clipboard with a single click for documentation or analysis.
Performance monitor and statistics. Panel with metrics like database size, number of tables, and total rows. Includes index usage monitoring to identify optimization opportunities in PostgreSQL and DuckDB.
Complete data operations (CRUD). Edit cells directly in the result table, with automatic generation of the UPDATE statement. Insert rows via forms and delete with confirmation. Export results to CSV, JSON, INSERT statements, or Markdown.
Query history and search. Stores up to 500 executed queries with timestamp and execution time. Queries can be saved with a name and marked as favorites. Full-text search across the entire history and saved queries.
Secure connection management. Support for SSH tunnels with password or key authentication. SSL/TLS configuration with security levels (disable, allow, prefer, require). Credentials are stored encrypted locally. Allows importing connections from DBeaver.
Data visualization in charts. Create bar, line, scatter, and pie charts directly from query results. Axes and groupings are configured with simple controls, and charts update when the source query is modified.
Keyboard shortcuts and customizable themes. Extensive shortcut support like Cmd+Enter to execute or Cmd+Shift+F to format. Predefined color themes like Nord, with the ability to create, import, and export custom themes, supporting light and dark mode.
Multilingual and platform support. Interface translated into six languages: English, German, French, Spanish, Arabic, and Korean. The application is packaged for Windows (x64/ARM with MSI), macOS, and Linux, with signed automatic updates.

The initial version of Seaquel was created by an independent developer for their own workflow. Development began in 2023 with the goal of building a native tool that addressed the performance limitations of Electron or Java-based database clients. The application is written entirely in Rust, leveraging its performance and low resource consumption. Since its launch as an open-source project, it has received contributions from the community and maintains a frequent update cycle, with major versions like 2026.4 introducing SQL tutorials and shared libraries.

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