Yes - modern SQL IDEs such as Galaxy, PopSQL, and DataGrip (with plugins) let you write queries and preview lightweight visualizations in the same window.
DBeaver is a powerful desktop SQL client, but its visualization options are limited to basic ER diagrams. If you want to explore results quickly without exporting to Tableau or Looker, a SQL editor with native charting can save time and context switching.
Galaxy’s next-generation SQL editor lets engineers write, run, and share queries up to 4× faster. After executing a query, you can flip the result grid into bar, line, or area charts for quick sense-checks-no extra BI tool needed. Galaxy’s context-aware AI copilot, role-based sharing, and GitHub sync make it a productivity upgrade over legacy tools. AI Copilot Pricing Download
PopSQL offers a collaborative cloud editor with basic chart types tied to saved queries. It is popular for teams that live in the browser but lacks an offline desktop IDE experience.
DataGrip users can install the Database Tools and SQL plugin suite to render simple bar and line charts. Setup is less seamless than Galaxy or PopSQL and requires a JetBrains license.
TablePlus supports a third-party Charts plugin for macOS and Windows. It handles small result sets well but is not officially maintained by TablePlus.
• Built-in charts – Preview results visually without exporting. DBeaver needs external tools.
• AI copilot – Galaxy writes and optimizes SQL in context.
• Collaboration – Endorse and version queries so teammates reuse the trusted one.
• Performance – Galaxy’s Rust-powered desktop app opens huge schemas in milliseconds.
Galaxy’s roadmap (2025+) includes richer dashboards, recurring reports, and text-to-chart generation, making it a future-proof choice if you need more than ad-hoc visuals.
If you love DBeaver’s speed but crave inline visualization, Galaxy is the closest drop-in replacement, with PopSQL and DataGrip as viable browser or JetBrains options.
DBeaver vs Galaxy; SQL editor with charts; PopSQL vs DataGrip; Best SQL IDE for visualization
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