15 Best DuckDB GUI Clients
Side-by-side comparison of free, open-source, and commercial DuckDB GUI clients for Mac, Windows, and Linux.
Last reviewed:
Editor's picks
Official DuckDB extension — install with INSTALL ui, then run duckdb -ui to open a free local notebook UI at localhost:4213 for querying .duckdb files, Parquet, and CSV.
Commercial JetBrains SQL IDE with dialect-aware DuckDB completion, schema-aware refactoring, and cross-file navigation — subscription-only at $10.90/month, the deepest paid pick.
Native DuckDB UI alongside Postgres, MySQL, and SQL, NoSQL, vector, search, and graph engines in one app — purpose-built per database type, on Mac, Windows, and Linux.
| Tool | Pricing | GitHub Stars | Native UI | Best For |
|---|---|---|---|---|
Free trial (7d)$108/yr$199 lifetime | — | Native | Developers who work across multiple database types and want one fast, modern GUI | |
FreeFree trial (14d)$108/yr | 23.0k | Native | Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade | |
FreeFree trial (30d)$9.9/mo | 25.8k | Native | Developers who want AI-assisted SQL authoring across many SQL engines in one client | |
Free trial (30d)$109/yr | — | Generic | Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration | |
Free trial$20/mo$79 lifetime | 0 | Native | Mac developers who want an AI-assisted SQL editor with notebook-style analysis across local and remote SQL databases | |
FreeFree trial (14d)$113/yr | 50.5k | Generic | Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines | |
FreeFree trial (30d)$120/yr | 7.1k | Native | Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web | |
FreeFree trial (21d)$199/yr | — | Generic | Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app | |
Free | 581 | Native | Analysts and developers who want a browser-based SQL editor for DuckDB with file import and an AI assistant | |
Free | 449 | Native | DuckDB users who want a notebook and schema browser without installing a separate GUI | |
Free | 563 | Native | Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries | |
Free | 6.2k | Native | Developers who live in the terminal and want a fast keyboard-driven SQL IDE for DuckDB and other databases | |
Free | 579 | Native | Analysts who want a zero-install, in-browser pivot table over Parquet, CSV, JSON, or DuckDB files | |
Free | 28.6k | Native | Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources | |
Free$199.99 lifetime | — | Native | Database administrators and developers who want a free native multi-database GUI with optional paid reporting and forms |
Developers who work across multiple database types and want one fast, modern GUI
Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade
Developers who want AI-assisted SQL authoring across many SQL engines in one client
Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration
Mac developers who want an AI-assisted SQL editor with notebook-style analysis across local and remote SQL databases
Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web
Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Analysts and developers who want a browser-based SQL editor for DuckDB with file import and an AI assistant
DuckDB users who want a notebook and schema browser without installing a separate GUI
Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries
Developers who live in the terminal and want a fast keyboard-driven SQL IDE for DuckDB and other databases
Analysts who want a zero-install, in-browser pivot table over Parquet, CSV, JSON, or DuckDB files
Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources
Database administrators and developers who want a free native multi-database GUI with optional paid reporting and forms
Detailed Comparison
Modern database GUI for SQL, NoSQL, vector, search, and graph databases
Best for: Developers who work across multiple database types and want one fast, modern GUI
Key differentiator: One GUI for SQL, NoSQL, vector, search, and graph databases — purpose-built UX per type, not a generic editor reused
Pros
- Covers SQL, NoSQL, vector, search, and graph databases in one app
- Purpose-built UX per database type — not a generic SQL editor reused
- Vector search works on Qdrant, Milvus, pgvector, Elasticsearch — same UI
- Server overview per database — memory, ops/sec, replication, keyspace stats
- Built-in SSH tunnel support for all databases
- Clean, modern interface with dark and light mode
- Cross-platform — same experience on Mac, Windows, Linux
Cons
- Paid product — no free version (7-day trial available)
- Closed-source
Supported Databases
Amazon RedshiftPlatforms
The SQL editor and database manager of your dreams
Best for: Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade
Key differentiator: Freemium model with an open-source GPL-3.0 Community Edition and a paid Ultimate Edition whose annual subscription grants perpetual access to versions released during the term
Pros
- Community Edition is open source under GPL-3.0
- Clean, modern UI with first-class dark mode
- Cross-platform native builds for Mac, Windows, and Linux
- Built-in SSH tunnel and SSL connection support
- Annual subscription grants perpetual access to versions released during the term
Cons
- Several power features (cloud workspace sync, backups, advanced exports) are gated behind the paid Ultimate Edition
- No built-in ER diagram or schema visualization
- NoSQL coverage limited to MongoDB and Redis
Supported Databases
Amazon RedshiftPlatforms
AI Text2SQL tool for easy database management
Best for: Developers who want AI-assisted SQL authoring across many SQL engines in one client
Key differentiator: Text2SQL workflow built into the SQL client — natural-language prompts produce queries inside the editor
Pros
- Natural-language to SQL powered by built-in AI models
- Open-source community edition under Apache-2.0
- Wide SQL database coverage including cloud warehouses and Chinese-market engines
- Visual table and data editor with SQL formatting
- Cross-platform desktop app plus hosted web client
Cons
- AI features in the community edition require bringing your own model API key
- Unlimited AI usage and full database catalog gated to the paid Pro plan
- NoSQL and graph database UIs are thinner than the SQL-first workflow
Supported Databases
Amazon RedshiftPlatforms
Cross-platform IDE for relational and NoSQL databases
Best for: Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration
Key differentiator: IntelliJ-platform SQL IDE with deep dialect-aware completion, refactoring, and code navigation
Pros
- Context-aware SQL completion with dialect-specific awareness
- Schema-aware refactoring and code navigation across SQL files
- Built-in version control integration with Git workflows
- Schema diff and structured data export across supported engines
- Local-history and editor features inherited from the IntelliJ platform
Cons
- Subscription-only pricing — no free version for non-students
- JVM-based IDE — heavier memory footprint than native clients
- NoSQL coverage limited to a few engines; SQL-first workflows
- Closed-source — not OSI-approved
Supported Databases
Amazon RedshiftAmazon DocumentDBAmazon DynamoDBPlatforms
The AI-Native Database Tool
Best for: Mac developers who want an AI-assisted SQL editor with notebook-style analysis across local and remote SQL databases
Key differentiator: AI assistant and SQL + Python notebooks integrated directly into a native macOS database GUI
Pros
- AI assistant built into the SQL editor for query generation and explanation
- SQL + Python notebooks for analysis workflows alongside the database GUI
- One-time purchase option in addition to subscription
- Embedded chDB engine for in-process ClickHouse-style analytics
Cons
- macOS only — no Windows or Linux builds
- Closed-source proprietary license
- Trial is capped at 20 AI messages rather than time-based
Supported Databases
Platforms
Universal database tool for developers, SQL programmers, DBAs, and analysts
Best for: Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Key differentiator: Single Java-based client with one of the broadest database driver catalogs, backed by an Apache-2.0 open-source core
Pros
- Connects to a wide range of relational, analytical, document, key-value, graph, and search databases from a single client
- Community edition is open source under Apache-2.0 with no feature gating for core SQL workflows
- ER diagrams, visual query builder, data export and import, and SQL editor with syntax highlighting and autocomplete
- Cross-platform desktop builds for Windows, macOS, and Linux
- Active release cadence with frequent updates and a public issue tracker
Cons
- Java-based Eclipse RCP runtime leads to slow startup and high memory usage
- Dense Eclipse-style UI with many panels, perspectives, and preferences to learn
- NoSQL drivers, advanced schema compare, and team features are reserved for paid editions
Supported Databases
Amazon AuroraAmazon RedshiftAmazon DynamoDBAmazon DocumentDBAmazon KeyspacesAmazon TimestreamAmazon NeptunePlatforms
Cross-platform SQL and NoSQL database client
Best for: Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web
Key differentiator: Open-source database client that ships as both an Electron desktop app and a self-hostable web app from the same codebase
Pros
- Free open-source Community Edition with unlimited connections
- Runs as desktop app or self-hosted web app via Docker
- Supports SQL plus MongoDB, Redis, Cassandra, DynamoDB, and Firestore
- Visual query designer, ER diagrams, and schema compare built in
- Plugin architecture for custom connectors and file formats
Cons
- Some connectors (Redshift, CosmosDB, libSQL/Turso, Firestore) gated to Premium
- Electron-based desktop app — heavier resource use than native clients
- AI chat, data compare, and import/export are Premium-only features
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
The universal database tool
Best for: Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Key differentiator: Broad first-class engine coverage paired with visual explain plans, schema references diagrams, and a drag-and-drop query builder
Pros
- Free edition with a non-expiring perpetual license
- First-class support for a wide range of relational, NoSQL, cloud, and warehouse engines
- Visual explain plans and ER-style references diagrams for query and schema analysis
- Drag-and-drop visual query builder alongside a context-aware SQL editor
- AI assistant for query explanation, error analysis, and in-editor suggestions
Cons
- Java-based desktop app with bundled JRE — larger install footprint than native clients
- Advanced features (AI, Git integration, scheduled monitoring, premium drivers) gated behind the Pro subscription
- No mobile, tablet, or browser-based version — desktop only
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Data is better when we see it — SQL editor, data visualization, and AI assistant in your browser
Best for: Analysts and developers who want a browser-based SQL editor for DuckDB with file import and an AI assistant
Key differentiator: Browser-native DuckDB GUI powered by DuckDB-WASM — no install, no server, query Parquet and CSV locally
Pros
- Runs entirely in the browser via DuckDB-WASM — no server required
- Imports CSV, JSON, Parquet, and Arrow files directly into the editor
- Self-hostable via official Docker image
- Can connect to an external DuckDB server through environment variables
- Light and dark themes plus keyboard shortcuts for query execution
Cons
- Single-database focus — DuckDB only
- No native desktop builds — browser or Docker only
Supported Databases
Platforms
Local web UI for DuckDB with SQL notebooks and a schema explorer
Best for: DuckDB users who want a notebook and schema browser without installing a separate GUI
Key differentiator: Official DuckDB UI shipped as a core extension — launched with duckdb -ui and served from the same process as the database
Pros
- Ships as an official DuckDB extension — install with INSTALL ui
- Launches with duckdb -ui or CALL start_ui() — opens in the default browser at localhost:4213
- SQL notebook with syntax highlighting, autocomplete, and inline result tables
- Schema explorer with row counts, column profiles, and a 100-row table preview
- Queries run locally — data stays on the machine unless MotherDuck is explicitly attached
Cons
- DuckDB-only — attached databases are accessed through DuckDB, not as first-class targets
- Browser-based UI served from localhost — no native desktop app
- No Windows ARM64 build
Supported Databases
Platforms
Lightweight Tauri desktop app for quickly browsing CSV, Parquet, and database data
Best for: Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries
Key differentiator: Treats Parquet and CSV files as first-class data sources alongside databases in a single browser-style UI
Pros
- Reads Parquet and CSV files directly without import or setup
- Lightweight Tauri build — small footprint and fast startup
- Cross-platform installers for Mac, Windows, and Linux
- MIT licensed and free to use
Cons
- Database support beyond DuckDB and SQLite is marked experimental
- Scoped to data browsing — not a full database management tool
- ClickHouse connections require the native protocol port
Supported Databases
Platforms
The SQL IDE for your terminal
Best for: Developers who live in the terminal and want a fast keyboard-driven SQL IDE for DuckDB and other databases
Key differentiator: Full SQL IDE that runs in the terminal with a pluggable adapter system across many databases
Pros
- Runs entirely in the terminal — works over SSH and inside tmux
- Ships with DuckDB and SQLite adapters out of the box
- Pluggable adapter system covers Postgres, MySQL/MariaDB, ODBC, BigQuery, Trino, Databricks, Snowflake, and more
- Keyboard-driven workflow with data catalog, query editor, and results pane
- Customizable themes and key bindings
Cons
- Terminal UI — no native mouse-first GUI features like drag-and-drop or rich charts
- Adapters install as separate Python packages and require a Python toolchain
- Non-SQL data models (graph, document) use the same SQL editor surface
Supported Databases
Amazon RedshiftPlatforms
Browser-based ROLAP pivot tables on DuckDB-WASM
Best for: Analysts who want a zero-install, in-browser pivot table over Parquet, CSV, JSON, or DuckDB files
Key differentiator: ROLAP-style pivot table UI running entirely client-side on DuckDB-WASM, with no server and no data leaving the browser
Pros
- Runs entirely in the browser — data stays local, no server required
- Reads .parquet, .csv, .json, .xlsx, and .duckdb files directly
- Pivot table builder with projection, aggregation, filtering, and subtotals
- Automatic temporal hierarchy breakdown for date/time columns (year, month, quarter)
- Installable as a Progressive Web App with offline support
Cons
- DuckDB-only — no support for other database engines
- WASM runtime imposes performance limits compared to native DuckDB
- No managed server, sharing, or collaboration features
Supported Databases
Platforms
Connect to any data source, easily visualize, dashboard and share your data
Best for: Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources
Key differentiator: Open-source, browser-based SQL editor and dashboarding tool that connects to many heterogeneous data sources from a single self-hosted server
Pros
- Browser-based SQL editor with shareable dashboards and visualizations
- Wide data source coverage spanning SQL, NoSQL, big data, and time-series
- Scheduled queries, alerts, and REST API for automation
- Self-hosted via Docker — full control of data and deployment
- Permissive BSD-2-Clause license
Cons
- Self-hosted only — requires Docker, PostgreSQL, and Redis to run
- Browser-only access — no native desktop client
- Initial setup and infrastructure maintenance fall on the operator
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Universal data management tool for SQL, document, and analytics databases
Best for: Database administrators and developers who want a free native multi-database GUI with optional paid reporting and forms
Key differentiator: Free, native cross-platform GUI bundled with an integrated visual Report Designer and Forms Designer in the Pro tier
Pros
- Free edition works fully on Mac, Windows, and Linux with no expiration
- Visual schema, diagram, data, and SQL editors out of the box
- Covers relational, document, and analytical engines from one tool
- Pro tier adds Report Designer, Forms Designer, and data modeling
- Native cross-platform builds — not Electron
Cons
- Closed-source, proprietary license
- Pro features (reports, forms, advanced modeling) gated behind paid tier
- UI feels dated compared to current design conventions
Supported Databases
Platforms
Frequently Asked Questions
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