18 Best CockroachDB GUI Clients
Side-by-side comparison of free, open-source, and commercial CockroachDB GUI clients for Mac, Windows, and Linux.
Last reviewed:
Editor's picks
Open-source Apache-2.0 Community Edition that connects to CockroachDB over the PostgreSQL wire protocol. Wide engine coverage, free on Mac, Windows, and Linux, no license needed.
JetBrains SQL IDE whose dialect-aware completion and schema-aware refactoring drive CockroachDB through its Postgres wire protocol, from $10.90 a month on Mac, Windows, and Linux.
Native CockroachDB UI alongside PostgreSQL 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 | |
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 | Generic | 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 | |
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 | |
Free | — | Native | Drizzle ORM users who want a free data browser that picks up their existing Drizzle config | |
Free$69 lifetime | — | Generic | Mac developers who work primarily with PostgreSQL and want a focused, native client | |
$79 lifetime | — | Native | Developers who want a browser-based SQL editor they can self-host on their own infrastructure | |
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$99 lifetime | — | Generic | 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 | |
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
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 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
Drizzle ORM users who want a free data browser that picks up their existing Drizzle config
Mac developers who work primarily with PostgreSQL and want a focused, native client
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 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
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
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
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
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
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
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
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
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
CockroachDB GUI clients FAQ
What is the best free CockroachDB GUI client?
Does CockroachDB have a GUI?
Can I use a PostgreSQL GUI with CockroachDB?
What's the best CockroachDB GUI for Mac?
Is there an official CockroachDB GUI for running queries?
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