A lightweight desktop SQL client for data analysis with query saving, charting, and result sharing.
Bdash is a lightweight desktop SQL client designed for data analysis. It allows users to connect to various databases, write and save queries, visualize results with charts, and share findings via GitHub Gist. It solves the need for a simple, focused tool for quick data exploration without the overhead of full-featured database management systems.
Data analysts, developers, and researchers who need a straightforward tool for running SQL queries, visualizing data, and sharing results across supported databases like MySQL, PostgreSQL, and Google BigQuery.
Developers choose Bdash for its simplicity, multi-database support, and integrated charting and sharing features, making it ideal for quick, ad-hoc data analysis without complex setup or licensing costs.
Simple SQL Client for lightweight data analysis.
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Supports MySQL, PostgreSQL, SQLite3, Google BigQuery, Treasure Data, and Amazon Athena, as explicitly listed in the README, enabling cross-platform data analysis.
Provides chart drawing capabilities to visualize query results directly, illustrated with a screenshot in the README for quick insights.
Enables public sharing of query results via GitHub Gist integration, with an example gist link provided for easy dissemination.
Includes an MCP server for AI tools like Claude Code to programmatically access data sources and queries, with detailed setup instructions for enhanced workflow automation.
Sharing is restricted to GitHub Gist, lacking built-in team features, real-time co-editing, or access controls for shared queries.
Charting is simple and static, without options for advanced or interactive visualizations as implied by the basic screenshot, limiting complex data presentation.
No web-based interface or cloud sync, confining usage to local installations and hindering remote access or multi-device workflows.