15 Best ClickHouse GUI Clients
Side-by-side comparison of free, open-source, and commercial ClickHouse GUI clients for Mac, Windows, and Linux.
Last reviewed:
Editor's picks
ClickHouse-focused management UI with SQL editor, dashboards, ingest pipelines, and AI copilot — built for self-hosted ClickHouse, not a generic SQL client adapted.
IntelliJ-platform SQL IDE with dialect-aware ClickHouse completion, schema-wide refactoring, and Git integration — the strongest paid pick for full-time SQL developers.
Native ClickHouse UI alongside PostgreSQL, MySQL, MongoDB, Redis, and other engines — purpose-built UX per database type, not a generic editor reused across engines.
| 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 | Generic | Developers who need a deployable web-based DB manager that fits in a single PHP file | |
FreeFree trial (14d)$108/yr | 22.7k | 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 | 14.0k | Native | Engineering teams that need a governed change-management workflow and SQL editor across multiple database types | |
FreeFree trial | 661 | Native | Teams running self-hosted ClickHouse who want a SQL editor, dashboards, and admin in one self-hosted UI | |
FreeFree trial (30d)$9.9/mo | 25.5k | 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$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 cloud workspace | |
FreeFree trial (14d)$113/yr | 49.9k | 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 | 6.9k | Native | Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web | |
FreeFree trial (21d)$199/yr | — | Generic | Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app | |
Free | 560 | Generic | Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries | |
Free$182/yr | — | Native | Data teams who collaborate on SQL queries against warehouses and want built-in charts and scheduling | |
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
Teams running self-hosted ClickHouse who want a SQL editor, dashboards, and admin in one self-hosted UI
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
Developers who want one desktop client that covers SQL and NoSQL databases with AI-assisted querying and an optional cloud workspace
Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web
Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries
Data teams who collaborate on SQL queries against warehouses and want built-in charts and scheduling
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
Platforms
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
The governance layer for self-hosted ClickHouse
Best for: Teams running self-hosted ClickHouse who want a SQL editor, dashboards, and admin in one self-hosted UI
Key differentiator: ClickHouse-focused management platform shipping editor, dashboards, pipelines, and AI copilot as one self-hosted binary
Pros
- Single-binary deployment for self-hosted ClickHouse
- Multi-tab SQL editor with formatting, profiling, and streaming results
- Built-in dashboards with drag-and-drop builder
- AI assistant supports OpenAI, Ollama, and OpenAI-compatible APIs
- Data pipelines and dbt-style SQL models with DAG visualization
Cons
- Supports ClickHouse only — not a multi-database GUI
- No native Windows binary
- Governance, scheduling, and audit features gated to paid Team tier
Supported Databases
Platforms
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
Query, explore, and manage your databases with a desktop app, collaborative web platform, 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 cloud workspace
Key differentiator: Single workbench combining desktop app, browser-based cloud workspace, and built-in AI chat across SQL and NoSQL databases
Pros
- Free tier covers core data browsing, SQL editing, and dashboards
- Cross-platform native builds for Mac, Windows, and Linux plus a browser-based cloud workspace
- 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, and 2 dashboards
- Paid tiers limited to 2 devices per license
Supported Databases
Platforms
Universal database tool for developers, SQL programmers, DBAs, and analysts
Best for: Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Key differentiator: Single Java-based client with one of the broadest database driver catalogs, backed by an Apache-2.0 open-source core
Pros
- Connects to a wide range of relational, analytical, document, key-value, graph, and search databases from a single client
- Community edition is open source under Apache-2.0 with no feature gating for core SQL workflows
- ER diagrams, visual query builder, data export and import, and SQL editor with syntax highlighting and autocomplete
- Cross-platform desktop builds for Windows, macOS, and Linux
- Active release cadence with frequent updates and a public issue tracker
Cons
- Java-based Eclipse RCP runtime leads to slow startup and high memory usage
- Dense Eclipse-style UI with many panels, perspectives, and preferences to learn
- NoSQL drivers, advanced schema compare, and team features are reserved for paid editions
Supported Databases
Amazon AuroraAmazon RedshiftAmazon DynamoDBAmazon DocumentDBAmazon KeyspacesAmazon TimestreamAmazon NeptunePlatforms
Cross-platform SQL and NoSQL database client
Best for: Developers who want one open-source GUI for SQL and NoSQL databases across desktop and self-hosted web
Key differentiator: Open-source database client that ships as both an Electron desktop app and a self-hostable web app from the same codebase
Pros
- Free open-source Community Edition with unlimited connections
- Runs as desktop app or self-hosted web app via Docker
- Supports SQL plus MongoDB, Redis, Cassandra, DynamoDB, and Firestore
- Visual query designer, ER diagrams, and schema compare built in
- Plugin architecture for custom connectors and file formats
Cons
- Some connectors (Redshift, CosmosDB, libSQL/Turso, Firestore) gated to Premium
- Electron-based desktop app — heavier resource use than native clients
- AI chat, data compare, and import/export are Premium-only features
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
The universal database tool
Best for: Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Key differentiator: Broad first-class engine coverage paired with visual explain plans, schema references diagrams, and a drag-and-drop query builder
Pros
- Free edition with a non-expiring perpetual license
- First-class support for a wide range of relational, NoSQL, cloud, and warehouse engines
- Visual explain plans and ER-style references diagrams for query and schema analysis
- Drag-and-drop visual query builder alongside a context-aware SQL editor
- AI assistant for query explanation, error analysis, and in-editor suggestions
Cons
- Java-based desktop app with bundled JRE — larger install footprint than native clients
- Advanced features (AI, Git integration, scheduled monitoring, premium drivers) gated behind the Pro subscription
- No mobile, tablet, or browser-based version — desktop only
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Lightweight Tauri desktop app for quickly browsing CSV, Parquet, and database data
Best for: Analysts and engineers who need to quickly inspect Parquet, CSV, and DuckDB files alongside lightweight database queries
Key differentiator: Treats Parquet and CSV files as first-class data sources alongside databases in a single browser-style UI
Pros
- Reads Parquet and CSV files directly without import or setup
- Lightweight Tauri build — small footprint and fast startup
- Cross-platform installers for Mac, Windows, and Linux
- MIT licensed and free to use
Cons
- Database support beyond DuckDB and SQLite is marked experimental
- Scoped to data browsing — not a full database management tool
- ClickHouse connections require the native protocol port
Supported Databases
Platforms
The SQL editor for team collaboration
Best for: Data teams who collaborate on SQL queries against warehouses and want built-in charts and scheduling
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 Git, GitHub, and GitLab sync
- dbt integration for managing models alongside ad-hoc queries
- Web app plus native desktop apps for Mac, Windows, and Linux
Cons
- Free tier capped at 10 queries, 2 connections, and 2 dashboards
- Focused on SQL warehouses and OLTP — no NoSQL, vector, or graph support
- Closed source
Supported Databases
Amazon RedshiftPlatforms
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
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