5.9 KiB
| toc_priority | toc_title |
|---|---|
| 28 | Visual Interfaces |
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.
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.
- DataLens documentation.
- Tutorial on visualizing data from a ClickHouse database.
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.