15 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 GPL 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, search, and graph engines in one app — purpose-built per database type, on Mac, Windows, and Linux.
| Tool | Pricing | GitHub Stars | Native UI | Best For |
|---|---|---|---|---|
Free trial (7d)$108/yr$199 lifetime | — | Native | Developers who work across multiple database types and want one fast, modern GUI | |
Free | 7.4k | Native | Developers who need a deployable web-based DB manager that fits in a single PHP file | |
FreeFree trial (14d)$108/yr | 23.0k | Native | Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade | |
FreeFree trial (14d)$20/mo | 14.1k | Native | Engineering teams that need a governed change-management workflow and SQL editor across multiple database types | |
FreeFree trial (30d)$9.9/mo | 25.8k | Native | Developers who want AI-assisted SQL authoring across many SQL engines in one client | |
Free trial (30d)$109/yr | — | Native | Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration | |
Free trial$20/mo$79 lifetime | 0 | Native | Mac developers who want an AI-assisted SQL editor with notebook-style analysis across local and remote SQL databases | |
FreeFree trial (14d)$113/yr | 50.5k | Generic | Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines | |
FreeFree trial (30d)$120/yr | 7.1k | Native | Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web | |
Free | 34.8k | Native | Drizzle ORM users who want a visual data browser tied directly to their TypeScript schema | |
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 | 28.6k | 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 |
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 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 visual data browser tied directly to their TypeScript schema
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
Detailed Comparison
Modern database GUI for SQL, NoSQL, vector, search, and graph databases
Best for: Developers who work across multiple database types and want one fast, modern GUI
Key differentiator: One GUI for SQL, NoSQL, vector, search, and graph databases — purpose-built UX per type, not a generic editor reused
Pros
- Covers SQL, NoSQL, vector, search, and graph databases in one app
- Purpose-built UX per database type — not a generic SQL editor reused
- Vector search works on Qdrant, Milvus, pgvector, Elasticsearch — same UI
- Server overview per database — memory, ops/sec, replication, keyspace stats
- Built-in SSH tunnel support for all databases
- Clean, modern interface with dark and light mode
- Cross-platform — same experience on Mac, Windows, Linux
Cons
- Paid product — no free version (7-day trial available)
- Closed-source
Supported Databases
Amazon RedshiftPlatforms
Database 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 — drop on any PHP host and it works
Pros
- Entire app ships as a single PHP file — 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 first-class
Supported Databases
Amazon SimpleDBPlatforms
The SQL editor and database manager of your dreams
Best for: Developers who want a clean, modern SQL editor with an open-source free edition and an affordable paid upgrade
Key differentiator: Freemium model with an open-source GPL-3.0 Community Edition and a paid Ultimate Edition whose annual subscription grants perpetual access to versions released during the term
Pros
- Community Edition is open source under GPL-3.0
- Clean, modern UI with first-class dark mode
- Cross-platform native builds for Mac, Windows, and Linux
- Built-in SSH tunnel and SSL connection support
- Annual subscription grants perpetual access to versions released during the term
Cons
- Several power features (cloud workspace sync, backups, advanced exports) are gated behind the paid Ultimate Edition
- No built-in ER diagram or schema visualization
- NoSQL coverage limited to MongoDB and Redis
Supported Databases
Amazon RedshiftPlatforms
Database DevOps and SQL editor for change management, access control, and review workflows
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 — 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
Cons
- Open-core — many governance features (SSO/SCIM, custom approval, dynamic masking) are gated to paid plans
- Web-only deployment — no desktop client
- Workflow-heavy UX with a learning curve compared to a plain query tool
Supported Databases
Amazon AuroraAmazon DocumentDBAmazon DynamoDBAmazon RedshiftPlatforms
AI Text2SQL tool for easy database management
Best for: Developers who want AI-assisted SQL authoring across many SQL engines in one client
Key differentiator: Text2SQL workflow built into the SQL client — natural-language prompts produce queries inside the editor
Pros
- Natural-language to SQL powered by built-in AI models
- Open-source community edition under Apache-2.0
- Wide SQL database coverage including cloud warehouses and Chinese-market engines
- Visual table and data editor with SQL formatting
- Cross-platform desktop app plus hosted web client
Cons
- AI features in the community edition require bringing your own model API key
- Unlimited AI usage and full database catalog gated to the paid Pro plan
- NoSQL and graph database UIs are thinner than the SQL-first workflow
Supported Databases
Amazon RedshiftPlatforms
Cross-platform IDE for relational and NoSQL databases
Best for: Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration
Key differentiator: IntelliJ-platform SQL IDE with deep dialect-aware completion, refactoring, and code navigation
Pros
- Context-aware SQL completion with dialect-specific awareness
- Schema-aware refactoring and code navigation across SQL files
- Built-in version control integration with Git workflows
- Schema diff and structured data export across supported engines
- Local-history and editor features inherited from the IntelliJ platform
Cons
- Subscription-only pricing — no free version for non-students
- JVM-based IDE — heavier memory footprint than native clients
- NoSQL coverage limited to a few engines; SQL-first workflows
- Closed-source — not OSI-approved
Supported Databases
Amazon RedshiftAmazon DocumentDBAmazon DynamoDBPlatforms
The AI-Native Database Tool
Best for: Mac developers who want an AI-assisted SQL editor with notebook-style analysis across local and remote SQL databases
Key differentiator: AI assistant and SQL + Python notebooks integrated directly into a native macOS database GUI
Pros
- AI assistant built into the SQL editor for query generation and explanation
- SQL + Python notebooks for analysis workflows alongside the database GUI
- One-time purchase option in addition to subscription
- Embedded chDB engine for in-process ClickHouse-style analytics
Cons
- macOS only — no Windows or Linux builds
- Closed-source proprietary license
- Trial is capped at 20 AI messages rather than time-based
Supported Databases
Platforms
Universal database tool for developers, SQL programmers, DBAs, and analysts
Best for: Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Key differentiator: Single Java-based client with one of the broadest database driver catalogs, backed by an Apache-2.0 open-source core
Pros
- Connects to a wide range of relational, analytical, document, key-value, graph, and search databases from a single client
- Community edition is open source under Apache-2.0 with no feature gating for core SQL workflows
- ER diagrams, visual query builder, data export and import, and SQL editor with syntax highlighting and autocomplete
- Cross-platform desktop builds for Windows, macOS, and Linux
- Active release cadence with frequent updates and a public issue tracker
Cons
- Java-based Eclipse RCP runtime leads to slow startup and high memory usage
- Dense Eclipse-style UI with many panels, perspectives, and preferences to learn
- NoSQL drivers, advanced schema compare, and team features are reserved for paid editions
Supported Databases
Amazon AuroraAmazon RedshiftAmazon DynamoDBAmazon DocumentDBAmazon KeyspacesAmazon TimestreamAmazon NeptunePlatforms
Cross-platform SQL and NoSQL database client
Best for: Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web
Key differentiator: Open-source database client that ships as both an Electron desktop app and a self-hostable web app from the same codebase
Pros
- Free open-source Community Edition with unlimited connections
- Runs as desktop app or self-hosted web app via Docker
- Supports SQL plus MongoDB, Redis, Cassandra, DynamoDB, and Firestore
- Visual query designer, ER diagrams, and schema compare built in
- Plugin architecture for custom connectors and file formats
Cons
- Some connectors (Redshift, CosmosDB, libSQL/Turso, Firestore) gated to Premium
- Electron-based desktop app — heavier resource use than native clients
- AI chat, data compare, and import/export are Premium-only features
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
Browse and manipulate data in your database based on your Drizzle schema
Best for: Drizzle ORM users who want a visual data browser tied directly to their TypeScript schema
Key differentiator: Schema-aware GUI that loads tables, columns, and relations straight from your Drizzle config — no manual connection wiring
Pros
- Free and open source under MIT — ships with drizzle-kit
- Reads your Drizzle schema and config directly — zero connection setup
- Runs locally via npx drizzle-kit studio, opens in any browser
- SQL console, schema browser, and table editor in one UI
- Exports query results to CSV and XLSX
Cons
- Tied to projects that use Drizzle ORM — no use without a Drizzle schema
- Web-only, launched via CLI — no standalone desktop app
- Limited to dialects supported by Drizzle ORM
Supported Databases
Platforms
The 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 — fast, lightweight, and visually consistent with the OS
- Focused, uncluttered UI built around table browsing and inline editing
- One-time perpetual license, activates on up to 3 personal devices
- Free evaluation version with no time limit
- First-class support for PostgreSQL plus Redshift, CockroachDB, and Greenplum
Cons
- macOS only — requires macOS 14 or later for Postico 2
- Some features remain disabled in the free evaluation version until a license is purchased
- Closed-source proprietary product
Supported Databases
Amazon RedshiftPlatforms
Self-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 — 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 — 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 — no NoSQL, vector, search, or graph support
- Requires Docker self-hosting — no native desktop builds
Supported Databases
Platforms
Query, 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, keep using indefinitely
- Cross-platform — 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 AuroraAmazon DynamoDBAmazon KeyspacesAmazon RedshiftAmazon SimpleDBPlatforms
Connect to any data source, easily visualize, dashboard and share your data
Best for: Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources
Key differentiator: Open-source, browser-based SQL editor and dashboarding tool that connects to many heterogeneous data sources from a single self-hosted server
Pros
- Browser-based SQL editor with shareable dashboards and visualizations
- Wide data source coverage spanning SQL, NoSQL, big data, and time-series
- Scheduled queries, alerts, and REST API for automation
- Self-hosted via Docker — full control of data and deployment
- Permissive BSD-2-Clause license
Cons
- Self-hosted only — requires Docker, PostgreSQL, and Redis to run
- Browser-only access — no native desktop client
- Initial setup and infrastructure maintenance fall on the operator
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Modern, 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
Frequently Asked Questions
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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