ClickHouse/docs/en/interfaces/third-party/gui.md
Dr. Strange Looker a94a03eb4a
removed version number
ClickHouse requested I not mention the version number where ClickHouse support began since it quickly becomes out of date and irrelevant.
2019-12-16 11:32:55 -05:00

4.6 KiB

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.
  • Color 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.
  • 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.

Commercial

Holistics Software

Holistics was listed by Gartner's Frontrunners in 2019 as one of the top 2 highest ranked business intelligence tools globally for usability. Holistics is a full-stack data platform and business intelligence tool for setting up your analytics processes, built on SQL.

Features:

  • Automated email, Slack and Google Sheet schedules of reports.
  • Powerful 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 modeling support for relational mapping of data.

DataGrip

DataGrip is a database IDE from JetBrains with dedicated support for ClickHouse. It is also embedded into 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.

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:

  • Designed around ease of use and self-service for end users.
  • Easy and agile development using LookML, a language which supports currated Data Modeling to support report writers and end users.
  • Powerful workflow integration via Looker's Data Actions.

Original article