20 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, free for non-commercial use and $10.90/month for commercial work.
Native DuckDB UI alongside Postgres, MySQL, and SQL, NoSQL, vector, and search 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 | |
Free | 7.9k | Generic | Developers who need a deployable web-based DB manager that fits in a single PHP file | |
FreeFree trial (14d)$108/yr | 23.8k | Native | Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade | |
FreeFree trial (7d)$16/mo$99 lifetime | 28.3k | Native | Developers who want AI-assisted SQL authoring across many SQL engines in one client | |
Free$49 lifetime | 619 | Native | Developers who want a fast, cross-platform desktop GUI spanning classic SQL engines and modern data stores like DuckDB, ClickHouse, and Turso | |
FreeFree trial (30d)$109/yr | — | Generic | Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration | |
Free$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 | 52.2k | 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 | 7.3k | 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 | 645 | Native | Analysts and developers who want a browser-based DuckDB workbench with file import, notebooks, and an AI assistant | |
Free | 475 | Native | DuckDB users who want a notebook and schema browser without installing a separate GUI | |
Free | 584 | Native | Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries | |
Free | 6.5k | Native | Developers who live in the terminal and want a fast keyboard-driven SQL IDE for DuckDB and other databases | |
Free | 620 | Native | Analysts who want a zero-install, in-browser pivot table over Parquet, CSV, JSON, or DuckDB files | |
Free trial (30d)$129 lifetime | — | Generic | Developers and DBAs who connect to many heterogeneous databases and want a single perpetually licensed JDBC-based client | |
Free | 28.9k | Native | Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources | |
Free$24/yr$59 lifetime | 6.3k | Generic | Mac developers who want a free, native GUI across many SQL and NoSQL engines, with a companion app for iPhone and iPad | |
Free$199.99 lifetime | — | Native | Database administrators and developers who want a free native multi-database GUI with optional paid reporting and forms | |
FreeFree trial (14d)$79 lifetime | 7 | Generic | MongoDB developers who prefer visual aggregation building over hand-writing pipeline JSON, and who also touch SQL databases |
Developers who work across multiple database types and want one fast, modern GUI
Developers who need a deployable web-based DB manager that fits in a single PHP file
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 a fast, cross-platform desktop GUI spanning classic SQL engines and modern data stores like DuckDB, ClickHouse, and Turso
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 DuckDB workbench with file import, notebooks, 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
Developers and DBAs who connect to many heterogeneous databases and want a single perpetually licensed JDBC-based client
Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources
Mac developers who want a free, native GUI across many SQL and NoSQL engines, with a companion app for iPhone and iPad
Database administrators and developers who want a free native multi-database GUI with optional paid reporting and forms
MongoDB developers who prefer visual aggregation building over hand-writing pipeline JSON, and who also touch SQL databases
Detailed comparison
Modern database GUI for SQL, NoSQL, vector, and search databases
Best for: Developers who work across multiple database types and want one fast, modern GUI
Key differentiator: One GUI for SQL, NoSQL, vector, and search databases. Purpose-built UX per type, not a generic editor reused
Pros
- Covers SQL, NoSQL, vector, and search 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
Platforms
Adminer
Since 2007Database management in a single PHP file
Best for: Developers who need a deployable web-based DB manager that fits in a single PHP file
Key differentiator: Full database manager delivered as one PHP file that drops onto any PHP host and runs
Pros
- Entire app ships as a single PHP file you drop into any PHP host
- Dual-licensed Apache-2.0 or GPL-2.0
- Native drivers for several SQL databases plus plugin drivers for NoSQL and search
- Plugin and theme system for extending functionality
- Lightweight footprint compared to typical web admin panels
Cons
- Requires a PHP-capable web server to run
- Dense, utilitarian UI focused on tables and forms
- NoSQL and search support is plugin-based, not built in
Supported Databases
Amazon SimpleDBPlatforms
Beekeeper Studio
Since 2019The 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 paid editions 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 built-in dark mode
- Cross-platform native builds for Mac, Windows, and Linux
- Built-in SSH tunnel and SSL connection support
- Paying for 12 months grants perpetual access to versions released during the subscription
Cons
- Oracle, MongoDB, ClickHouse, DuckDB, Snowflake, Cassandra and other engines are paid-only, not in the Community Edition
- ER diagrams, cloud workspaces, the AI Shell, and import/export are only in the paid editions
- Cheapest Indie plan is limited to one device
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
Chat2DB
Since 2023AI 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, so natural-language prompts produce queries inside the editor
Pros
- Natural-language to SQL powered by built-in AI models
- Free Community edition with source code on GitHub
- Wide SQL database coverage including cloud warehouses and Chinese-market engines
- Visual table and data editor with SQL formatting
- Desktop app, web client, Docker image, and CLI with MCP support
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
- Community 5.3.0 and later use a modified Apache-2.0 license that bars offering it as a service or embedding it without a commercial deal
Supported Databases
Amazon RedshiftPlatforms
Dataflare
Since 2023Fast, cross-platform desktop database manager for browsing tables and writing SQL across many databases
Best for: Developers who want a fast, cross-platform desktop GUI spanning classic SQL engines and modern data stores like DuckDB, ClickHouse, and Turso
Key differentiator: Open-source desktop app on a Rust and Tauri core that reaches modern engines like DuckDB, ClickHouse, and Cloudflare D1 next to classic SQL databases
Pros
- Fast, responsive performance built on a Rust and Tauri core
- Covers modern engines like DuckDB, ClickHouse, Turso, and Cloudflare D1 alongside classic SQL databases
- Read-only connection mode and SQL preview before a query runs
- AI-assisted SQL generation and query explanation
- Source available on GitHub under the AGPL-3.0 license
Cons
- Free version is limited to two saved connections
- Perpetual license covers one device; a second device needs the Extended tier
- Newer project with a smaller community than long-established GUIs
- No companion mobile app
Supported Databases
Platforms
DataGrip
Since 2015Cross-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
- Commercial use requires a paid subscription; the free license covers non-commercial use only
- 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
DB Pilot
Since 2023The 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
- Free tier for browsing and querying, with a one-time $79 license instead of a subscription
- Embedded chDB engine for in-process ClickHouse-style analytics
Cons
- macOS only, with no Windows or Linux builds
- Closed-source proprietary license
- Free tier only allows 20 AI messages; full AI needs the paid license and your own API keys
- One-time license includes one year of updates
Supported Databases
Platforms
DBeaver
Since 2010Universal 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 RedshiftAmazon DynamoDBAmazon DocumentDBkeyspacesAmazon TimestreamAmazon NeptunePlatforms
DbGate
Since 2020Cross-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, Cloudflare D1) gated to Premium
- Electron-based desktop app with heavier resource use than native clients
- AI chat, data compare, and import/export are Premium-only features
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
DbVisualizer
Since 1999The 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 native 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
- Native 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
- Explain plans, the query builder, table data editing, data import, most export formats, charts, Git integration, and the AI assistant need the Pro subscription
- No mobile, tablet, or browser-based version, desktop only
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Duck-UI
Since 2025Open-source DuckDB workbench that runs in your browser, with SQL editor, notebooks, charts, and an AI assistant
Best for: Analysts and developers who want a browser-based DuckDB workbench with file import, notebooks, 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
- SQL and Python notebooks plus shareable dashboards
- AI assistant can run fully in the browser with WebLLM, or use OpenAI, Anthropic, or Ollama
Cons
- Single-database focus, DuckDB only
- No native desktop builds, browser or Docker only
Supported Databases
Platforms
DuckDB UI
Since 2025Local 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 (built by MotherDuck), 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(), then 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, so data stays on the machine unless MotherDuck is explicitly attached
Cons
- DuckDB-only; attached databases are accessed through DuckDB, not as native targets
- Browser-based UI served from localhost, with no native desktop app
- No Windows ARM64 build
- The UI front end is fetched from ui.duckdb.org, so it needs network access to load
Supported Databases
Platforms
Duckling
Since 2023Lightweight Tauri desktop app for browsing Parquet, CSV, and JSON files and databases, with a built-in SQL editor
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 native 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
- Pivot tables, column profiling, and export to CSV, JSON, Parquet, and XLSX
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
Harlequin
Since 2023The 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, so it works over SSH and inside tmux
- Ships with DuckDB and SQLite adapters out of the box
- Pluggable adapter system covers Postgres, MySQL/MariaDB, ODBC, ADBC, 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 with 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
Huey
Since 2023Browser-based data analytics and pivot tables on DuckDB-WASM, with data kept local
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 sharing or collaboration features
Supported Databases
Platforms
RazorSQL
Since 2006Query, edit, browse, and manage databases
Best for: Developers and DBAs who connect to many heterogeneous databases and want a single perpetually licensed JDBC-based client
Key differentiator: One JDBC/ODBC-driven client covering 40+ database engines under a perpetual license
Pros
- Connects to 40+ databases out of the box, plus any JDBC or ODBC source
- Perpetual license, pay once and keep using indefinitely
- Cross-platform, with Windows, macOS, Linux, and Solaris builds
- Built-in query builder, visual table editors, import/export, and data search
- Bundled HSQLDB engine for zero-configuration local databases
Cons
- Java Swing UI feels dated next to native or Electron-based GUIs
- No free version, only a 30-day trial
- Closed-source proprietary product
Supported Databases
Amazon DynamoDBAmazon RedshiftAmazon SimpleDBPlatforms
Redash
Since 2013Connect 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 with 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 with no native desktop client
- Initial setup and infrastructure maintenance fall on the operator
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
TablePro
Since 2025Free and open source native database client for Mac, iPhone, and iPad
Best for: Mac developers who want a free, native GUI across many SQL and NoSQL engines, with a companion app for iPhone and iPad
Key differentiator: Free and AGPLv3 with all 37 engines unlocked, built as a native Swift app with an AI assistant and a built-in MCP server
Pros
- Native Swift and SwiftUI app with no Electron, Java, or web views
- Mac app is free with no trial limit, and all 37 supported engines, AI, MCP, and Safe Mode are in the free tier
- Free iPhone and iPad app on the App Store for MySQL, MariaDB, PostgreSQL, SQLite, DuckDB, Redis, SQL Server, Oracle, and more
- AI assistant with many providers, including local models, plus a built-in MCP server for Claude Code, Cursor, and Zed
- Safe Mode levels per connection, with Touch ID or password for production writes
- Imports connections and saved passwords from TablePlus, Sequel Ace, DBeaver, DataGrip, Beekeeper Studio, and Navicat
Cons
- No Windows version, and the Linux app is an unreleased prototype
- iPhone and iPad app covers fewer engines than the Mac app
- Compare & Sync, Query Insights, Data Rewind, and iCloud Sync need the paid Starter plan
- Team plan requires a minimum of five seats
- Young project, so a shorter track record than older clients
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
Valentina Studio
Since 2013Universal 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
- Cheaper Single license unlocks Pro features for one database engine
- 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
VisuaLeaf
Since 2025Visual database client for MongoDB and SQL, supporting 30+ databases
Best for: MongoDB developers who prefer visual aggregation building over hand-writing pipeline JSON, and who also touch SQL databases
Key differentiator: Aggregation pipeline builder with live result preview at each stage, drag-and-drop query construction
Pros
- Drag-and-drop aggregation pipeline builder with stage-by-stage result previews
- Visual query construction without hand-writing pipeline JSON
- Built-in query profiler with index recommendations
- Browser-based playground at demo.visualeaf.com for trying without install
- Free Community Edition includes all SQL features
- Same desktop app on Windows, macOS (Intel and Apple Silicon), and Linux
Cons
- Free tier limits MongoDB to 3 saved connections
- Closed-source; the public GitHub repo holds only a README and feature matrix
- Visual query and aggregation builders, schema diagrams, and the profiler need a paid license ($79 Basic one-time)
Supported Databases
Amazon DocumentDBAmazon RedshiftPlatforms
DuckDB GUI clients FAQ
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