Self-Hosted ClickHouse Management UIs: Tabix vs ClickCat vs Telescope

ClickHouse is the leading open-source columnar database for real-time analytics, capable of processing billions of rows in seconds. While ClickHouse provides a powerful CLI client (clickhouse-client) and HTTP interface, managing databases, optimizing queries, and monitoring cluster health through a terminal becomes cumbersome for daily operations.

Web-based ClickHouse management UIs provide visual query editing, database exploration, and performance monitoring through a browser. This guide compares three open-source options: Tabix, ClickCat, and Telescope, each designed for different aspects of ClickHouse management.

Quick Comparison

Tabix: Full-Featured ClickHouse IDE

Tabix (tabixio/tabix) is the most comprehensive ClickHouse management interface available. Originally developed as the official ClickHouse web UI, it provides a full SQL IDE experience with syntax highlighting, query execution plans, result visualization, and dashboard creation.

Key Features

• SQL IDE: Full-featured query editor with syntax highlighting, auto-completion, and query history
• Result visualization: Table, chart, and graph views for query results
• Dashboard builder: Create persistent dashboards with multiple query panels
• Multi-server support: Manage multiple ClickHouse servers from one interface
• Query profiling: EXPLAIN query analysis with execution plan visualization
• Database explorer: Visual tree navigation of databases, tables, and columns
• Authentication: Built-in user authentication and connection management

Docker Deployment

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version: '3.8'
services:
  tabix:
    image: spoonest/clickhouse-tabix-web-client:latest
    container_name: tabix
    ports:
      - "8080:80"
    environment:
      - CH_NAME=production
      - CH_HOST=clickhouse-server
      - CH_PORT=8123
      - CH_LOGIN=default
      - CH_PASSWORD=
    restart: unless-stopped

For a multi-server production setup:

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version: '3.8'
services:
  tabix:
    image: spoonest/clickhouse-tabix-web-client:latest
    container_name: tabix
    ports:
      - "8080:80"
    environment:
      - CH_NAME=prod-cluster-01
      - CH_HOST=clickhouse-01:8123
      - CH_LOGIN=readonly
      - CH_PASSWORD=secure-password
      - AUTOCOMPLETE=1
      - THEME=dark
    restart: unless-stopped
    networks:
      - clickhouse-network

networks:
  clickhouse-network:
    external: true

Pros and Cons

Pros:

• Most complete ClickHouse management feature set
• Full SQL IDE with syntax highlighting and auto-completion
• Built-in dashboard and chart creation
• Multi-server management from a single interface
• Largest community (2,296+ GitHub stars)

Cons:

• Project maintenance has slowed (last update June 2023)
• Original tabixio/tabix repo is deprecated in favor of tabix.io SaaS
• Community-maintained Docker image may lag behind latest features
• Resource-intensive for large result sets

ClickCat: Visual ClickHouse Explorer

ClickCat (clickcat-project/ClickCat) takes a visual approach to ClickHouse data exploration. Instead of a traditional SQL IDE, it provides a search-oriented interface for exploring log data and time-series datasets stored in ClickHouse.

Key Features

• Visual search interface: Point-and-click filtering without writing SQL
• Log exploration: Timeline-based log viewing with color-coded severity levels
• Field suggestions: Automatic field discovery and suggestion as you type
• Time-range selection: Quick time-range pickers for time-series analysis
• Lightweight: Minimal resource footprint, fast startup

Docker Deployment

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version: '3.8'
services:
  clickcat:
    image: ghcr.io/clickcat-project/clickcat:latest
    container_name: clickcat
    ports:
      - "8080:8080"
    environment:
      - CLICKHOUSE_HOST=clickhouse-server
      - CLICKHOUSE_PORT=8123
      - CLICKHOUSE_DATABASE=default
      - CLICKHOUSE_USER=default
      - CLICKHOUSE_PASSWORD=
    restart: unless-stopped

Connect to a ClickHouse cluster with multiple nodes:

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version: '3.8'
services:
  clickcat:
    image: ghcr.io/clickcat-project/clickcat:latest
    container_name: clickcat
    ports:
      - "8080:8080"
    environment:
      - CLICKHOUSE_HOST=clickhouse-cluster
      - CLICKHOUSE_PORT=8123
      - CLICKHOUSE_DATABASE=logs
      - QUERY_TIMEOUT=30000
      - MAX_ROWS=100000
    restart: unless-stopped

Pros and Cons

Pros:

• Intuitive visual interface requires minimal SQL knowledge
• Excellent for log data exploration
• Lightweight and fast
• Python-based, easy to customize and extend

Cons:

• Limited SQL editing capabilities compared to Tabix
• No dashboard or charting features
• Smaller community (91 GitHub stars)
• No built-in authentication
• Focused on log exploration, not general database management

Telescope: Log-Centric ClickHouse Viewer

Telescope (iamtelescope/telescope) is a web-based log viewer designed specifically for exploring log data stored in ClickHouse. It provides a Kibana-like experience for ClickHouse-backed log aggregation pipelines, with real-time filtering, field discovery, and saved searches.

Key Features

• Log viewer: Kibana-inspired interface for browsing and filtering log entries
• Multi-source support: Connect to multiple ClickHouse databases simultaneously
• Field sidebar: Automatic field discovery with value histograms
• Saved searches: Bookmark and share complex filter configurations
• Time histogram: Visual time-series distribution of log volumes
• Real-time tail: Live log tailing with auto-scroll and pause controls

Docker Deployment

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version: '3.8'
services:
  telescope:
    image: iamtelescope/telescope:latest
    container_name: telescope
    ports:
      - "3000:3000"
    environment:
      - CLICKHOUSE_URL=http://clickhouse-server:8123
      - CLICKHOUSE_DB=logs
      - CLICKHOUSE_TABLE=logs
      - SESSION_SECRET=change-this-secret
      - PORT=3000
    restart: unless-stopped

For production with persistent configuration:

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version: '3.8'
services:
  telescope:
    image: iamtelescope/telescope:latest
    container_name: telescope
    ports:
      - "3000:3000"
    environment:
      - CLICKHOUSE_URL=http://clickhouse-prod:8123
      - CLICKHOUSE_DB=production_logs
      - CLICKHOUSE_TABLE=app_logs
      - SESSION_SECRET=a-random-32-byte-secret
      - DEFAULT_TIME_RANGE=1h
      - MAX_RESULTS=50000
    volumes:
      - ./config.yaml:/app/config.yaml:ro
    restart: unless-stopped

Pros and Cons

Pros:

• Best-in-class log exploration experience for ClickHouse
• Actively maintained (updated May 2026)
• Familiar Kibana-like interface for teams migrating from ELK
• Multi-source support for querying across databases
• Saved searches and field discovery

Cons:

• Focused on logs, not general database management
• No SQL query editor or charting capabilities
• No built-in authentication (requires reverse proxy)
• Requires pre-configured ClickHouse tables with specific schema

Choosing the Right ClickHouse Management UI

The choice depends on your primary use case with ClickHouse:

• For general database management and analytics: Tabix provides the most comprehensive SQL IDE experience. If you need to write complex queries, build dashboards, and explore database schemas, Tabix is the right choice despite its slower maintenance pace.

• For quick data exploration without SQL: ClickCat is ideal for team members who need to explore ClickHouse data but aren’t comfortable writing SQL queries. Its visual search interface lowers the barrier to entry for non-technical users.

• For log monitoring and observability: Telescope is purpose-built for log exploration in ClickHouse. If you’re using ClickHouse as a log backend (replacing Elasticsearch in an observability stack), Telescope provides the closest experience to Kibana’s log exploration features.

Why Self-Host ClickHouse Management Tools?

ClickHouse typically stores sensitive analytical data: user behavior analytics, business metrics, application logs, and financial data. Exposing this data through a management interface requires the same security considerations as the database itself.

Self-hosting ClickHouse management UIs keeps query execution and data inspection within your infrastructure. Cloud-based database management services would require exposing ClickHouse HTTP ports to external networks, bypassing network segmentation and firewall rules. By deploying Tabix, ClickCat, or Telescope on internal infrastructure, you maintain control over who can execute queries and what data they can access.

For teams running ClickHouse as part of a broader analytics stack, having a dedicated management UI deployed alongside the database provides a centralized access point for data analysts, engineers, and operations teams.

For ClickHouse alternatives and analytics platforms, see our OLAP database comparison and analytics engine comparison. For understanding how ClickHouse fits into the broader data infrastructure landscape, our distributed systems guide covers the coordination layer that often feeds data into analytical databases.

FAQ

Can Tabix still be used if the original repo is deprecated?

Yes. While the tabixio/tabix repository is deprecated in favor of Tabix’s SaaS offering, community-maintained Docker images (spoonest/clickhouse-tabix-web-client) remain available and functional. The web client is purely frontend JavaScript connecting directly to ClickHouse’s HTTP interface, so it continues to work with any ClickHouse version that supports the HTTP protocol.

Do these UIs support ClickHouse Cloud or managed ClickHouse?

Yes. All three tools connect to ClickHouse via its HTTP interface (port 8123), which is available on both self-hosted and managed ClickHouse deployments. For ClickHouse Cloud, you would configure the connection with your cloud endpoint URL and credentials. For managed ClickHouse services, check that the HTTP interface is accessible from the network where you deploy the management UI.

How do I secure access to these management UIs?

Tabix has built-in authentication for saving connections. ClickCat and Telescope do not have built-in authentication and should be deployed behind a reverse proxy with authentication (nginx with basic auth, OAuth2-proxy, or Authelia). All three should run on internal networks only, and ClickHouse connections should use read-only credentials for query-only access.

Which tool supports ClickHouse clusters with replicas and shards?

Tabix supports multi-server configurations, allowing you to switch between different ClickHouse servers. For true cluster management (viewing shard distribution, replica health, distributed query execution), you would need ClickHouse’s native system tables (system.clusters, system.replicas) queried through any of these tools’ SQL interfaces.

Can I use these UIs with ClickHouse materialized views?

Yes. All three tools can query ClickHouse materialized views just like regular tables. Tabix provides the best experience for this, as its database explorer shows materialized views alongside tables and its query editor supports the full ClickHouse SQL syntax needed to create and modify materialized views.

What is the resource footprint of each tool?

Tabix is a JavaScript SPA served from a static web server, consuming approximately 50MB of RAM. ClickCat (Python-based) uses about 100MB. Telescope (Go-based) uses approximately 30MB. All three are lightweight compared to the ClickHouse server itself, which typically requires 8GB+ RAM for production workloads.