44 Best PostgreSQL GUI Clients
Side-by-side comparison of free, open-source, and commercial PostgreSQL GUI clients for Mac, Windows, and Linux.
Last reviewed:
Editor's picks
The official free Postgres GUI under the PostgreSQL Licence, maintained by the community and tracking new server features closely, with native Mac, Windows, Linux, and web builds.
Fast native client for Mac, Windows, Linux, and iOS with multi-tab workflow and split view, a $99 perpetual license with a year of updates, and a free tier capped at two tabs and windows.
Native PostgreSQL UI alongside MySQL, MariaDB, 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 | Native | Developers who need a deployable web-based DB manager that fits in a single PHP file | |
Free | 2.7k | Native | Developers who want a free, modern SQL client for MySQL, MariaDB, PostgreSQL, SQLite, and Firebird | |
Free trial (14d)$499/yr | — | Generic | Database professionals and analysts who need one IDE for SQL development, BI, and administration across many enterprise data platforms | |
Free | 7.7k | Generic | Teams that relied on Azure Data Studio for cross-platform SQL Server and Azure SQL work and need an actively maintained replacement after its 2026 retirement | |
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 (14d)$20/mo | 14.6k | Native | Engineering teams that need a governed change-management workflow and SQL editor across multiple database types | |
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 | — | Native | 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 | |
Free$9.99/mo$99 lifetime | — | Native | Developers who want one desktop client that covers SQL and NoSQL databases with AI-assisted querying and an optional self-hosted web version | |
FreeFree trial (14d)$113/yr | 52.2k | Native | Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines | |
FreeFree trial (30d)$749.95/yr$1499.95 lifetime | — | Native | Database developers and DBAs working across SQL Server, MySQL, Oracle, and PostgreSQL who want a single Windows IDE with AI, compare, and migration tooling | |
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 | |
Free trial (30d)$40/mo | — | Native | Enterprises that need governed, auditable web-based access to many database engines from a single platform | |
FreeFree trial (21d)$199/yr | — | Native | Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app | |
Free | — | Native | Drizzle ORM users who want a free data browser that picks up their existing Drizzle config | |
Free | 584 | Generic | 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 | 6.3k | Native | Developers who want a free, lightweight client for MySQL, MariaDB, and other major SQL databases | |
Free trial | — | Native | Enterprises that need governed, auditable browser-based SQL access hosted inside their own infrastructure | |
FreeFree trial (14d)$99/yr | — | Native | Developers working across SQL Server, Postgres, MySQL, and Oracle who want a modern cross-platform IDE with AI tooling | |
FreeFree trial (14d) | — | Generic | Mac and iPhone users who work mainly with MongoDB and want a native, fast client that also covers PostgreSQL and Redis | |
FreeFree trial (14d)$999.99/yr$1999 lifetime | — | Native | Developers and DBAs who manage multiple SQL and NoSQL databases and want data modeling, BI, and backup tooling in one application | |
Free | 6.0k | Generic | Developers working with SQLite-family databases like Turso, Cloudflare D1, and rqlite who want a fast browser-based GUI | |
Free | 3.9k | Native | PostgreSQL developers and DBAs who need full server administration alongside query authoring | |
Free$15/mo | 86 | Native | macOS developers who want an open-source, AI-assisted notebook workflow for SQL, MongoDB, and Convex | |
Free$19/mo | — | Native | Existing PopSQL teams that still rely on shared queries, charts, and scheduling while it stays online | |
Free | 1.6k | Native | Developers who want a simple, free, cross-platform desktop GUI focused exclusively on PostgreSQL | |
Free$69 lifetime | — | Native | Mac developers who work primarily with PostgreSQL and want a focused, native client | |
Free | 2.2k | Native | Prisma ORM users who want a visual data browser tied directly to their schema | |
$79 lifetime | — | Native | Developers who want a browser-based SQL editor they can self-host on their own infrastructure | |
Free trial (30d)$129 lifetime | — | Native | 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 | 4.8k | Native | Developers who want a free, no-frills SQL client for everyday queries across common relational databases | |
Free trial$99.99/yr$219.99 lifetime | — | Native | Developers on Apple, Windows, and Android devices who want a native, non-Electron client for relational databases | |
Free | 101 | Native | Developers and DBAs who need a free, cross-platform JDBC client that works with virtually any relational database | |
Free | 113.9k | Native | Teams building on Supabase who need a web dashboard for their Postgres project | |
Free$99 lifetime | — | Native | Developers who want a fast, native desktop GUI across SQL and a handful of NoSQL engines | |
Free$24/yr$59 lifetime | 6.3k | Native | 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 | |
Free | 271 | Generic | Teams working across several vector databases who want one desktop app to browse data and inspect embeddings | |
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 free, modern SQL client for MySQL, MariaDB, PostgreSQL, SQLite, and Firebird
Database professionals and analysts who need one IDE for SQL development, BI, and administration across many enterprise data platforms
Teams that relied on Azure Data Studio for cross-platform SQL Server and Azure SQL work and need an actively maintained replacement after its 2026 retirement
Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade
Engineering teams that need a governed change-management workflow and SQL editor across multiple database types
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 who want one desktop client that covers SQL and NoSQL databases with AI-assisted querying and an optional self-hosted web version
Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Database developers and DBAs working across SQL Server, MySQL, Oracle, and PostgreSQL who want a single Windows IDE with AI, compare, and migration tooling
Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web
Enterprises that need governed, auditable web-based access to many database engines from a single platform
Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Drizzle ORM users who want a free data browser that picks up their existing Drizzle config
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
Developers who want a free, lightweight client for MySQL, MariaDB, and other major SQL databases
Enterprises that need governed, auditable browser-based SQL access hosted inside their own infrastructure
Developers working across SQL Server, Postgres, MySQL, and Oracle who want a modern cross-platform IDE with AI tooling
Mac and iPhone users who work mainly with MongoDB and want a native, fast client that also covers PostgreSQL and Redis
Developers and DBAs who manage multiple SQL and NoSQL databases and want data modeling, BI, and backup tooling in one application
Developers working with SQLite-family databases like Turso, Cloudflare D1, and rqlite who want a fast browser-based GUI
PostgreSQL developers and DBAs who need full server administration alongside query authoring
macOS developers who want an open-source, AI-assisted notebook workflow for SQL, MongoDB, and Convex
Existing PopSQL teams that still rely on shared queries, charts, and scheduling while it stays online
Developers who want a simple, free, cross-platform desktop GUI focused exclusively on PostgreSQL
Mac developers who work primarily with PostgreSQL and want a focused, native client
Prisma ORM users who want a visual data browser tied directly to their schema
Developers who want a browser-based SQL editor they can self-host on their own infrastructure
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
Developers who want a free, no-frills SQL client for everyday queries across common relational databases
Developers on Apple, Windows, and Android devices who want a native, non-Electron client for relational databases
Developers and DBAs who need a free, cross-platform JDBC client that works with virtually any relational database
Teams building on Supabase who need a web dashboard for their Postgres project
Developers who want a fast, native desktop GUI across SQL and a handful of NoSQL engines
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
Teams working across several vector databases who want one desktop app to browse data and inspect embeddings
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
Antares SQL
Since 2020Open source SQL client made to be simple
Best for: Developers who want a free, modern SQL client for MySQL, MariaDB, PostgreSQL, SQLite, and Firebird
Key differentiator: Forever-free, community-driven SQL client with no telemetry and no paid tier
Pros
- Free and open source under MIT license, no paid premium features
- Cross-platform Electron build with x64 and Linux ARM distributions
- Built-in fake data generator for populating test tables
- SSH tunnel, manual commit mode, and dump import/export included
- Distributed via Flathub, Snap Store, AUR, and Microsoft Store
Cons
- Still at 0.x, and the last release (v0.7.35) shipped in June 2025 with few commits since
- Electron-based, heavier resource use than native desktop apps
- No support for NoSQL, vector, search, or graph databases
Supported Databases
Platforms
Aqua Data Studio
Since 2001Database IDE for SQL development, analytics, and administration across 40+ data platforms
Best for: Database professionals and analysts who need one IDE for SQL development, BI, and administration across many enterprise data platforms
Key differentiator: Combines SQL IDE, visual analytics, BI dashboards, schema modeling, and database administration in a single cross-platform desktop app
Pros
- Single IDE covers 40+ relational, NoSQL, and cloud data platforms
- Includes visual analytics, dashboards, and BI reporting alongside SQL editing
- Schema design, data modeling, and database administration in one tool
- Cross-platform, runs on Windows, macOS, and Linux
- Task scheduling and synthetic data generation in the Ultimate edition
Cons
- No free version, paid annual subscription only (14-day trial available)
- Closed-source commercial product
- Per-user license priced for enterprise budgets
Supported Databases
Amazon RedshiftPlatforms
Azure Data Studio
Since 2018Microsoft's cross-platform SQL Server and Azure SQL tool built on the VS Code shell, retired in February 2026
Best for: Teams that relied on Azure Data Studio for cross-platform SQL Server and Azure SQL work and need an actively maintained replacement after its 2026 retirement
Key differentiator: Microsoft's retired cross-platform, VS Code-based SQL tool. Its end of life is pushing users to seek supported alternatives
Pros
- Free and cross-platform, with native builds for Windows, macOS, and Linux
- Built on the VS Code shell with extensions, integrated terminal, and source control
- SQL notebooks and customizable insight-widget dashboards
- Immediate connectivity to SQL Server and Azure SQL; PostgreSQL, MySQL, and MongoDB via extensions
Cons
- Retired by Microsoft on February 28, 2026. No longer receives updates, security patches, or support
- Microsoft now directs users to Visual Studio Code with the MSSQL extension
- The GitHub repository is archived, so community fixes can no longer land upstream
- Engines beyond SQL Server need add-on extensions, and the PostgreSQL extension never left preview
Supported Databases
Platforms
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
Bytebase
Since 2021Database governance platform for schema change management, data access control, and SQL review across major databases
Best for: Engineering teams that need a governed change-management workflow and SQL editor across multiple database types
Key differentiator: Combines a multi-database SQL editor with change-management, review, and access-control workflows in one self-hostable platform
Pros
- Web-based collaboration UI for schema migrations, SQL review, and approval workflows
- GitOps integration, so schema changes can flow through pull requests in GitHub or GitLab
- Built-in SQL review engine with 200+ lint rules across supported dialects
- Data masking and just-in-time access policies for sensitive columns
- Self-hostable via Docker or Kubernetes Helm charts; also offered as managed cloud
- Built-in MCP server and AI assistant in the SQL editor
Cons
- Open-core, so many governance features (approval workflow, just-in-time access, dynamic masking, SCIM) are Enterprise-only
- Free Community plan caps you at 20 users and 10 database instances
- Web-only deployment, no desktop client
- Workflow-heavy UX with a learning curve compared to a plain query tool
Supported Databases
Amazon DocumentDBAmazon DynamoDBAmazon RedshiftPlatforms
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
Query, explore, and manage your databases with a desktop app and built-in AI
Best for: Developers who want one desktop client that covers SQL and NoSQL databases with AI-assisted querying and an optional self-hosted web version
Key differentiator: Single workbench combining a desktop app, a self-hosted browser version, and built-in AI chat across SQL and NoSQL databases
Pros
- Free tier covers core data browsing, SQL editing, and dashboards
- Desktop builds for Mac, Windows, and Linux plus DB Pro Studio, a self-hosted browser version run with one Docker command
- One-time license option with one year of updates as an alternative to monthly billing
- Built-in AI chat for natural-language querying of connected databases
- Visual schema explorer, dashboards, and import/export bundled in a single workbench
Cons
- Closed-source proprietary product
- Free tier capped at 2 connections, 5 saved queries, 2 dashboards, 3 open tabs, and 1 device
- Paid tiers limited to 2 devices per license
Supported Databases
Amazon DynamoDBPlatforms
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
dbForge Edge
Since 2023All-in-one universal database IDE for SQL Server, MySQL, Oracle, and PostgreSQL with AI support
Best for: Database developers and DBAs working across SQL Server, MySQL, Oracle, and PostgreSQL who want a single Windows IDE with AI, compare, and migration tooling
Key differentiator: One bundle ships four full IDEs, each with deep dialect-specific tooling, instead of a generic adapter over many engines
Pros
- Bundles four full IDEs (for SQL Server, MySQL/MariaDB, Oracle, and PostgreSQL) under one license
- AI-assisted SQL editor with autocomplete, code formatting, and refactoring
- Schema and data compare with synchronization across supported engines
- Visual query builder, ER diagrams, and database designer included
- Free Express edition available after the trial expires
Cons
- Native builds only on Windows; macOS and Linux require CrossOver
- Closed-source commercial product
- Enterprise tier is the only paid edition; pricing is steep for occasional users
Supported Databases
Amazon Redshiftazure-sqlauroraPlatforms
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
DBHawk
Since 2015Zero trust data security platform with AI-driven access and a web-based SQL IDE
Best for: Enterprises that need governed, auditable web-based access to many database engines from a single platform
Key differentiator: Zero trust web-based SQL IDE with built-in data masking, auditing, and SSO across relational, NoSQL, and cloud warehouse engines
Pros
- Browser-based access, no local install required, works from any computer
- Zero trust access controls with passwordless authentication and SSO integration
- Fine-grained data masking, row-level security, and full audit logging
- Covers relational, NoSQL, and cloud data warehouse engines from one IDE
- Deployable as SaaS or self-hosted on Windows, Mac, Linux, Docker, or Kubernetes
- MCP server gives AI agents governed database access with the same masking and audit logging
Cons
- Pricing starts at $40 per user per month with a minimum user count, and there is no free tier
- Closed-source commercial product
- No standalone desktop builds, web interface only
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
Drizzle Studio
Since 2023Database browser to browse and edit data, explore your schema, and run SQL on top of your existing database
Best for: Drizzle ORM users who want a free data browser that picks up their existing Drizzle config
Key differentiator: Free database browser that runs from drizzle-kit with your existing Drizzle config, plus a self-hosted Gateway and a Chrome extension for vendor consoles
Pros
- Free to use, ships with drizzle-kit and reads connection details from drizzle.config.ts
- Free self-hosted Drizzle Gateway runs Studio in Docker without a Drizzle project
- Inline editing, SQL console with explain/analyze, and schema management in one UI
- Import JSON, CSV, and SQL files, and export rows as JSON, CSV, or SQL
- Chrome extension adds Studio to the PlanetScale, Cloudflare D1, and Vercel Postgres consoles
Cons
- Studio itself is closed source; only Drizzle ORM and Drizzle Kit are open source
- Browser-based only for now; the desktop app is announced but not shipped
- Local studio is limited to PostgreSQL, MySQL, SQLite, SingleStore, MSSQL, and CockroachDB
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
HeidiSQL
Since 2006Lightweight, free and open source client for MariaDB, MySQL, SQL Server, PostgreSQL, SQLite, Interbase and Firebird
Best for: Developers who want a free, lightweight client for MySQL, MariaDB, and other major SQL databases
Key differentiator: Tiny native Windows binary written in Delphi, with fast startup and low memory footprint and no runtime dependencies
Pros
- Free and open source under the GPL v2
- Lightweight, Windows installer under 20 MB, no Java runtime required
- Portable Windows build runs without installation
- Actively maintained, with several releases a year and native Linux packages (deb, rpm, Flatpak)
- Supports SSH tunnels and SSL connections out of the box
Cons
- macOS and Linux builds come from a separate Lazarus/FreePascal port of the Delphi-built Windows app, so they feel less native
- The macOS build is an Apple Silicon app bundle only, with no Intel Mac build
- No support for NoSQL, vector, or graph databases
- Interface is dense and traditional Win32-style
Supported Databases
Amazon RedshiftPlatforms
Secure, on-premises database management platform and SQL editor for the enterprise
Best for: Enterprises that need governed, auditable browser-based SQL access hosted inside their own infrastructure
Key differentiator: Self-hosted, browser-based SQL editor with shared snippets, role-based access control, and audit trails
Pros
- Browser-based SQL editor, no client install for end users
- Self-hosted on-premises, in your own VPC, or on Kubernetes, including air-gapped setups
- Shared SQL snippets that auto-update across team members
- Role-based access control with audit trails on logins and data source changes
- SSO, SAML, LDAP, and Active Directory integration plus two-factor authentication
- Audit events can stream to a SIEM such as Splunk or Datadog
Cons
- Now sold only as JackDB Enterprise: annual per-user subscription, quote-only pricing
- No free tier and no self-serve plan for individuals
- You install and run the server yourself; no standalone desktop builds
- Closed-source commercial product
Supported Databases
Amazon Redshiftauroraazure-sqlPlatforms
Jam SQL Studio
Since 2024Free cross-platform SQL IDE and Azure Data Studio replacement for SQL Server, Postgres, MySQL, Oracle, and SQLite
Best for: Developers working across SQL Server, Postgres, MySQL, and Oracle who want a modern cross-platform IDE with AI tooling
Key differentiator: AI-native SQL IDE with MCP server integration, SQL Notebooks, and a free personal tier across Mac, Windows, and Linux
Pros
- Free Personal tier with unlimited connections, schema compare, and execution plans, no account required
- Native builds for Apple Silicon, Intel Mac, Windows, and Linux
- Built-in local MCP server for AI agents, with no queries allowed by default
- SQL Notebooks compatible with the .ipynb format
- Local-first architecture with read-only defaults for AI agents
Cons
- Closed-source proprietary product
- Built on Electron, heavier resource use than native apps
- Free Personal tier is for non-commercial use only, and caps bulk compare, import, and export
- Commercial use needs Pro at $9.99 per month or $99 per year
Supported Databases
Platforms
Mongon
Since 2026Native MongoDB, PostgreSQL, and Redis client for Mac and iPhone, written in Swift
Best for: Mac and iPhone users who work mainly with MongoDB and want a native, fast client that also covers PostgreSQL and Redis
Key differentiator: Native SwiftUI MongoDB client with clickable ObjectId relation navigation and a visual aggregation pipeline builder
Pros
- Native macOS app built with SwiftUI, runs on Apple Silicon and Intel
- ObjectId relation navigation, click linked references to jump between documents
- Visual aggregation pipeline builder with stage-by-stage preview
- 35+ date macros for query shortcuts
- CloudKit sync keeps connections in sync across Mac and iPhone
- Free tier covers the query builder, relation navigation, and date macros, and every Redis feature is free
- Premium is sold as either a one-time purchase or a monthly subscription with the same features
Cons
- Apple platforms only, no Windows or Linux build
- Free tier capped at 3 connections; aggregation pipeline builder, change streams, and sync need Premium
- Premium prices are not listed on the website
- Closed-source
Supported Databases
Platforms
Navicat
Since 2002Comprehensive database development and management tool
Best for: Developers and DBAs who manage multiple SQL and NoSQL databases and want data modeling, BI, and backup tooling in one application
Key differentiator: Single application that bundles database management with data modeling, BI dashboards, and cloud-synced collaboration
Pros
- Single application connects to multiple SQL and NoSQL databases simultaneously
- Built-in data modeling, BI, and reporting tools
- Cloud sync for connections, queries, and snippets via Navicat Cloud
- Backup, restore, and scheduled task automation
- Free Navicat Premium Lite tier for basic administration
Cons
- Premium price point with the Enterprise tier at $99.99/month or $1,999 perpetual
- Closed-source proprietary license
- Dense UI with a steep learning curve for new users
Supported Databases
Platforms
Outerbase Studio
Since 2024Lightweight browser-based GUI for SQL databases
Best for: Developers working with SQLite-family databases like Turso, Cloudflare D1, and rqlite who want a fast browser-based GUI
Key differentiator: Browser-first GUI purpose-built for SQLite-compatible edge databases, with an Electron desktop build for MySQL and PostgreSQL drivers
Pros
- Free and open source under AGPL-3.0
- Runs entirely in the browser, with no install needed for SQLite, Turso/LibSQL, Cloudflare D1, rqlite
- Desktop wrapper unlocks MySQL and PostgreSQL drivers that browsers cannot use
- Query editor with autocomplete, multi-statement execution, and result tabs
- Staged data editor previews row changes before committing
Cons
- MySQL and PostgreSQL support marked beta with limited features
- Outerbase joined Cloudflare, the hosted Outerbase cloud SaaS shut down in October 2025, and Studio is the remaining product
- No new release since v0.10.2 in March 2025 (desktop v0.1.29 in April 2025), and commits have slowed to a trickle
- Narrower SQL dialect coverage than full-featured database IDEs
Supported Databases
Platforms
pgAdmin
Since 1998Open-source administration, development and monitoring tool for PostgreSQL, in desktop or server mode
Best for: PostgreSQL developers and DBAs who need full server administration alongside query authoring
Key differentiator: Community-maintained PostgreSQL admin platform with deep coverage of server-side features
Pros
- Free and open source under the PostgreSQL Licence
- Maintained by the PostgreSQL community, which tracks new server features closely
- Ships as both a desktop app and a deployable web/container app
- Full administrative coverage: roles, tablespaces, backups, restores, vacuum, replication
- Built-in dashboard with server activity, locks, and session monitoring
Cons
- PostgreSQL only, with no support for other databases
- Web/Electron architecture feels heavier than native desktop clients
- Dense, admin-oriented UI with a steep learning curve
Supported Databases
Platforms
Pluk
Since 2025AI-native database client with a notebook agent for queries, reports, and dashboards
Best for: macOS developers who want an open-source, AI-assisted notebook workflow for SQL, MongoDB, and Convex
Key differentiator: AI notebook agent that drafts queries and builds dashboards from natural-language prompts using schema-only context
Pros
- Native macOS app with AI notebook agent for drafting queries
- AI uses table schema context rather than row data
- Generates charts and dashboards from query results
- Free tier with up to 4 connections and 2 dashboard shares
- Covers PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, and Convex in one app
- Source code is public under the AGPL-3.0 license
Cons
- macOS only, no Windows or Linux builds
- Still in beta, and AI usage limits may change during the beta
- Free tier has only limited AI queries; expanded AI usage needs Pro at $15 per month
Supported Databases
Platforms
PopSQL
Since 2017Collaborative SQL editor, now in limited support under Tiger Data
Best for: Existing PopSQL teams that still rely on shared queries, charts, and scheduling while it stays online
Key differentiator: Multiplayer SQL editor with shared queries, dashboards, and dbt-aware workflows in one workspace
Pros
- Real-time collaborative SQL editing with shared queries and comments
- Built-in charts, dashboards, and scheduled query runs
- Version history, with GitHub Sync free for every workspace since September 2025
- dbt integration for managing models alongside ad-hoc queries
- Web app plus native desktop apps for Mac, Windows, and Linux
Cons
- In limited support since September 2025: no new features, only critical and security fixes
- A planned September 2026 shutdown was postponed with no new date; Tiger Data promises 90 days notice
- Annual plans switch to monthly billing at renewal
- Free tier capped at 10 queries, 2 connections, and 2 dashboards
- Focused on SQL warehouses and OLTP, with no NoSQL, vector, or graph support
- Closed source
Supported Databases
Amazon RedshiftPlatforms
Postbird
Since 2014Cross-platform PostgreSQL GUI client written in JavaScript
Best for: Developers who want a simple, free, cross-platform desktop GUI focused exclusively on PostgreSQL
Key differentiator: Single-purpose PostgreSQL desktop client distributed as standalone builds across macOS, Windows, and Linux package formats
Pros
- Free and open source under the MIT license
- Standalone installers for macOS, Windows, and Linux (deb, rpm, snap, AppImage, pacman)
- Built-in SSH tunnel support for remote PostgreSQL connections
- Browse, edit, and structure tables with import / export of SQL dumps and CSV
Cons
- PostgreSQL only, no support for other database engines
- Built on Electron, so heavier resource use than native apps
- Appears abandoned: the last release was 0.8.4 in November 2019 and the last commit was in June 2025
Supported Databases
Platforms
Postico
Since 2015The native Mac app for PostgreSQL
Best for: Mac developers who work primarily with PostgreSQL and want a focused, native client
Key differentiator: A PostgreSQL-first Mac client with a deliberately minimal native UI and a one-time perpetual license
Pros
- Native macOS app, universal binary for Apple Silicon and Intel Macs
- Focused, uncluttered UI built around table browsing and inline editing
- One-time perpetual license: $69 personal (up to 3 of your own Macs), $29 student, $99 per device commercial
- Free evaluation version with no time limit
- Tested against PostgreSQL 8.0 and later, Amazon Redshift, CockroachDB, and Greenplum
Cons
- macOS only, and the current 2.3 release requires macOS 14 or later
- Some features remain disabled in the free evaluation version until a license is purchased
- Not built for admin work: the docs say it does not do backup and restore, user and permission management, or monitoring
- Upgrading from Postico 1.x is paid, and the Mac App Store version has no trial and lacks pre-connect scripts
- Closed-source product maintained by a single developer
Supported Databases
Amazon RedshiftPlatforms
Prisma Studio
Since 2019Visual editor for exploring and manipulating data in your Prisma projects
Best for: Prisma ORM users who want a visual data browser tied directly to their schema
Key differentiator: Schema-aware GUI that loads tables, columns, and relations straight from your Prisma config, and is also embeddable into your own apps
Pros
- Free to run locally via npx prisma studio
- Reads your Prisma schema directly, so there's zero connection setup for existing projects
- Runs locally from the CLI or inside Prisma Console for shared team access
- Spreadsheet-like editor with filtering, sorting, and relation navigation
- Embeddable into custom apps via @prisma/studio-core
Cons
- Designed around Prisma ORM workflows, so it needs a Prisma schema or direct DB URL
- Browser-based only, with no standalone desktop app
- Officially supports only PostgreSQL, MySQL, and SQLite
- Source-available Apache 2.0 with added Prisma branding requirements, not pure OSI Apache-2.0
Supported Databases
Platforms
QueryGlow
Since 2026Self-hosted, AI-powered database GUI you open from a URL
Best for: Developers who want a browser-based SQL editor they can self-host on their own infrastructure
Key differentiator: Browser-based SQL GUI deployed via Docker in minutes, with a one-time license and private-repo source access for buyers
Pros
- Self-hosted via Docker, so your credentials and data stay on your infrastructure
- AI SQL generation with bring-your-own-key for OpenAI, Claude, or Gemini
- Schema-aware autocomplete and EXPLAIN visualizer with index suggestions
- AES-256-GCM credential encryption and built-in SSH tunnel support
- One-time lifetime license with no subscription or per-seat fees
Cons
- Source-available via private GitHub repo for buyers, not OSI-approved open source
- Limited to relational SQL engines, with no NoSQL, vector, search, or graph support
- Requires Docker self-hosting, with no native desktop builds
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
Sqlectron
Since 2015A simple and lightweight SQL client desktop with cross database and platform support
Best for: Developers who want a free, no-frills SQL client for everyday queries across common relational databases
Key differentiator: Minimal, MIT-licensed Electron SQL client with JSON-based connection configuration
Pros
- Free and MIT-licensed
- Cross-platform Electron build runs on Mac, Windows, and Linux
- Covers core relational databases plus Cassandra in a single client
- Lightweight UI focused on connection management and SQL execution
- Configuration is plain JSON, easy to version-control and share
Cons
- Feature set limited to basic SQL execution and result browsing
- Built on Electron, with heavier resource use than native apps
- No advanced visual schema designer or data modeling tools
- Slow release cadence: v1.39.0 in December 2025 was the first release since March 2022
Supported Databases
Amazon RedshiftPlatforms
SQLPro Studio
Since 2015Native database manager for macOS, iOS, Android, and Windows
Best for: Developers on Apple, Windows, and Android devices who want a native, non-Electron client for relational databases
Key differentiator: Native SQL client spanning macOS, Windows, iOS, and Android under a single subscription
Pros
- Native applications on macOS, Windows, iOS, and Android (no Java or Electron)
- Single subscription covers macOS, iOS, Android, and Windows
- Cloud provider connection helpers for AWS RDS, Azure, and Heroku
- Built-in SSH tunneling and multiple concurrent result sets
- Available on Mac App Store, Microsoft Store, iOS App Store, and Google Play
Cons
- SQL-only (no NoSQL, vector, search, or graph database support)
- No Linux build
- Lifetime license is single-platform (macOS or Windows, not both)
Supported Databases
Amazon RedshiftPlatforms
SQuirreL SQL Client
Since 2001Graphical Java SQL client for any JDBC-compliant database
Best for: Developers and DBAs who need a free, cross-platform JDBC client that works with virtually any relational database
Key differentiator: Java-based universal JDBC client with a plugin system that adds vendor-specific features on top of generic JDBC connectivity
Pros
- Runs anywhere a JVM is available, the same client on Windows, macOS, and Linux
- Connects to any JDBC-compliant database by pointing it at a driver JAR
- Plugin architecture with DBMS-specific plugins for Oracle, PostgreSQL, MySQL, DB2, MSSQL, and more
- Multisource plugin enables cross-database joins across different engines in one query
- Free and open source under LGPL-2.1 with a long release history dating back to 2001
Cons
- Dated Swing-based UI with limited visual polish
- Requires manually downloading and configuring JDBC driver JARs for each database
- No native support for NoSQL, vector, or search engines outside the JDBC model
Supported Databases
Platforms
Supabase Studio
Since 2020Dashboard for managing your Supabase Postgres project
Best for: Teams building on Supabase who need a web dashboard for their Postgres project
Key differentiator: Full dashboard for Supabase projects, with table editor, SQL editor, auth, storage, and edge functions in one web UI
Pros
- Table editor and SQL editor with schema visualizer
- Manages Postgres roles, policies, extensions, and replication
- Auto-generated REST and GraphQL API documentation per table
- Self-hostable via Docker Compose alongside the rest of the Supabase stack
- Open-source under Apache-2.0
Cons
- Scoped to Postgres projects managed through Supabase
- Self-hosted Studio runs a single project and lacks branching, managed backups, and PITR
Supported Databases
Platforms
TablePlus
Since 2017Modern, native, and friendly GUI tool for relational databases
Best for: Developers who want a fast, native desktop GUI across SQL and a handful of NoSQL engines
Key differentiator: Native desktop performance with a multi-tab workflow and inline diff review before committing changes
Pros
- Native UI with fast, responsive performance
- Multi-tab workflow with split view
- Built-in SSH tunnel and TLS support
- Inline editing with diff review before commit
- Companion iOS app included with desktop license
Cons
- Free version caps tabs, windows, and advanced filters at two each
- Perpetual license includes only one year of updates
- Oracle support is macOS only; Snowflake is macOS and Windows only
Supported Databases
Amazon 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
Desktop app to explore and manage vector databases with embedding visualization
Best for: Teams working across several vector databases who want one desktop app to browse data and inspect embeddings
Key differentiator: Embedding visualization in 2D and 3D combined with support for eight different vector databases in one app
Pros
- Connects to eight vector stores from one desktop app
- Browse collections and run vector and hybrid searches
- Visualize embeddings in 2D and 3D with UMAP, t-SNE, or PCA, plus clustering
- Free and open source under the MIT license
Cons
- Small project with a modest user base
- Desktop only, no hosted or web version
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
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