Visual Interfaces from Third-party Developers 

Open-Source 

Tabix 

Web interface for ClickHouse in the Tabix project.

Features:

  • Works with ClickHouse directly from the browser, without the need to install additional software.
  • Query editor with syntax highlighting.
  • Auto-completion of commands.
  • Tools for graphical analysis of query execution.
  • Colour scheme options.

Tabix documentation.

HouseOps 

HouseOps is a UI/IDE for OSX, Linux and Windows.

Features:

  • Query builder with syntax highlighting. View the response in a table or JSON view.
  • Export query results as CSV or JSON.
  • List of processes with descriptions. Write mode. Ability to stop (KILL) a process.
  • Database graph. Shows all tables and their columns with additional information.
  • A quick view of the column size.
  • Server configuration.

The following features are planned for development:

  • Database management.
  • User management.
  • Real-time data analysis.
  • Cluster monitoring.
  • Cluster management.
  • Monitoring replicated and Kafka tables.

LightHouse 

LightHouse is a lightweight web interface for ClickHouse.

Features:

  • Table list with filtering and metadata.
  • Table preview with filtering and sorting.
  • Read-only queries execution.

Redash 

Redash is a platform for data visualization.

Supports for multiple data sources including ClickHouse, Redash can join results of queries from different data sources into one final dataset.

Features:

  • Powerful editor of queries.
  • Database explorer.
  • Visualization tools, that allow you to represent data in different forms.

DBeaver 

DBeaver - universal desktop database client with ClickHouse support.

Features:

  • Query development with syntax highlight and autocompletion.
  • Table list with filters and metadata search.
  • Table data preview.
  • Full-text search.

clickhouse-cli 

clickhouse-cli is an alternative command-line client for ClickHouse, written in Python 3.

Features:

  • Autocompletion.
  • Syntax highlighting for the queries and data output.
  • Pager support for the data output.
  • Custom PostgreSQL-like commands.

clickhouse-flamegraph 

clickhouse-flamegraph is a specialized tool to visualize the system.trace_log as flamegraph.

clickhouse-plantuml 

cickhouse-plantuml is a script to generate PlantUML diagram of tables’ schemes.

xeus-clickhouse 

xeus-clickhouse is a Jupyter kernal for ClickHouse, which supports query CH data using SQL in Jupyter.

Commercial 

DataGrip 

DataGrip is a database IDE from JetBrains with dedicated support for ClickHouse. It is also embedded in other IntelliJ-based tools: PyCharm, IntelliJ IDEA, GoLand, PhpStorm and others.

Features:

  • Very fast code completion.
  • ClickHouse syntax highlighting.
  • Support for features specific to ClickHouse, for example, nested columns, table engines.
  • Data Editor.
  • Refactorings.
  • Search and Navigation.

Yandex DataLens 

Yandex DataLens is a service of data visualization and analytics.

Features:

  • Wide range of available visualizations, from simple bar charts to complex dashboards.
  • Dashboards could be made publicly available.
  • Support for multiple data sources including ClickHouse.
  • Storage for materialized data based on ClickHouse.

DataLens is available for free for low-load projects, even for commercial use.

Holistics Software 

Holistics is a full-stack data platform and business intelligence tool.

Features:

  • Automated email, Slack and Google Sheet schedules of reports.
  • SQL editor with visualizations, version control, auto-completion, reusable query components and dynamic filters.
  • Embedded analytics of reports and dashboards via iframe.
  • Data preparation and ETL capabilities.
  • SQL data modelling support for relational mapping of data.

Looker 

Looker is a data platform and business intelligence tool with support for 50+ database dialects including ClickHouse. Looker is available as a SaaS platform and self-hosted. Users can use Looker via the browser to explore data, build visualizations and dashboards, schedule reports, and share their insights with colleagues. Looker provides a rich set of tools to embed these features in other applications, and an API
to integrate data with other applications.

Features:

  • Easy and agile development using LookML, a language which supports curated
    Data Modeling to support report writers and end-users.
  • Powerful workflow integration via Looker’s Data Actions.

How to configure ClickHouse in Looker.

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