WorkspaceMulti-DatabaseOne interface for Postgres, MySQL, SQLite and many others SQL NotebooksReusable SQL and Markdown with inline charts Visual EXPLAINExecution plans as interactive graphs Visual Query BuilderCompose joins and filters visually

PlatformMCP ServerLet AI agents run queries through Tabularis PluginsExtend any engine with a JSON-RPC driver Bounty BoardClaim or sponsor the next database driver RoadmapSee what's shipping next

By enginePostgreSQL ClientSQL editing, schema tools, SSH, and notebooks.MySQL ClientSQL editing, SSH, and reusable notebook analysis.SQLite ClientA lightweight workflow for local apps and prototypes.DuckDB and Redis WorkflowsPlugin-driven workflows for analytical use cases.

By workflowFor AI Agents (MCP-native)Give Claude, Cursor, and Devin schema-aware access.Secure Database ClientSSH tunneling and system keychain storage.Database Client for On-Call EngineersReach production through SSH or Kubernetes tunnels.Browse all solutions

LearnBlogReleases, deep dives, and product updates.ChangelogTrack what changed across recent releases.Product DemosShort videos for the workflows developers evaluate first.Visual Explain Online NewPaste an execution plan and explore it in your browser.

CommunityGitHubSource code, issues, discussions, and stars.DiscordTalk to users, contributors, and maintainers.Sponsors & supportersThe organizations that help keep Tabularis free and independent.

DBeaver AlternativeOpen-source workspace vs mature IDE.

DataGrip AlternativeOpen workspace vs JetBrains IDE.

TablePlus AlternativeOpen workspace vs polished proprietary GUI.

Navicat AlternativeOpen workspace vs per-seat commercial tool.

pgAdmin AlternativeDesktop-first workspace vs PostgreSQL-only tool.

Beekeeper Studio AlternativeBroader workspace vs simple client.Browse all comparisons

Product

WorkspaceMulti-DatabaseOne interface for Postgres, MySQL, SQLite and many others SQL NotebooksReusable SQL and Markdown with inline charts Visual EXPLAINExecution plans as interactive graphs Visual Query BuilderCompose joins and filters visually

PlatformMCP ServerLet AI agents run queries through Tabularis PluginsExtend any engine with a JSON-RPC driver Bounty BoardClaim or sponsor the next database driver RoadmapSee what's shipping next

Solutions

By enginePostgreSQL ClientSQL editing, schema tools, SSH, and notebooks.MySQL ClientSQL editing, SSH, and reusable notebook analysis.SQLite ClientA lightweight workflow for local apps and prototypes.DuckDB and Redis WorkflowsPlugin-driven workflows for analytical use cases.

By workflowFor AI Agents (MCP-native)Give Claude, Cursor, and Devin schema-aware access.Secure Database ClientSSH tunneling and system keychain storage.Database Client for On-Call EngineersReach production through SSH or Kubernetes tunnels.Browse all solutions

Resources

LearnBlogReleases, deep dives, and product updates.ChangelogTrack what changed across recent releases.Product DemosShort videos for the workflows developers evaluate first.Visual Explain Online NewPaste an execution plan and explore it in your browser.

CommunityGitHubSource code, issues, discussions, and stars.DiscordTalk to users, contributors, and maintainers.Sponsors & supportersThe organizations that help keep Tabularis free and independent.

Compare

DBeaver AlternativeOpen-source workspace vs mature IDE.

DataGrip AlternativeOpen workspace vs JetBrains IDE.

TablePlus AlternativeOpen workspace vs polished proprietary GUI.

Navicat AlternativeOpen workspace vs per-seat commercial tool.

pgAdmin AlternativeDesktop-first workspace vs PostgreSQL-only tool.

Beekeeper Studio AlternativeBroader workspace vs simple client.Browse all comparisons

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/Demos/Visual EXPLAIN Query Plan Analysis

Visual Explain

Visual EXPLAIN Query Plan Analysis

Turn database execution plans into graph views, table details, raw output, and AI-assisted recommendations.

Read the Visual EXPLAIN guide

Like what you just saw?

This demo is a quick way to evaluate the workflow before installing Tabularis locally. If it matches your use case, download the desktop app and test it against a real development database.

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