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130 lines
4.4 KiB
Markdown
130 lines
4.4 KiB
Markdown
# Visual Interfaces from Third-party Developers
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## Open-Source
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### Tabix
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Web interface for ClickHouse in the [Tabix](https://github.com/tabixio/tabix) project.
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Features:
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- Works with ClickHouse directly from the browser, without the need to install additional software.
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- Query editor with syntax highlighting.
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- Auto-completion of commands.
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- Tools for graphical analysis of query execution.
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- Color scheme options.
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[Tabix documentation](https://tabix.io/doc/).
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### HouseOps
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[HouseOps](https://github.com/HouseOps/HouseOps) is a UI/IDE for OSX, Linux and Windows.
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Features:
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- Query builder with syntax highlighting. View the response in a table or JSON view.
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- Export query results as CSV or JSON.
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- List of processes with descriptions. Write mode. Ability to stop (`KILL`) a process.
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- Database graph. Shows all tables and their columns with additional information.
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- Quick view of the column size.
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- Server configuration.
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The following features are planned for development:
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- Database management.
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- User management.
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- Real-time data analysis.
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- Cluster monitoring.
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- Cluster management.
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- Monitoring replicated and Kafka tables.
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### LightHouse
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[LightHouse](https://github.com/VKCOM/lighthouse) is a lightweight web interface for ClickHouse.
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Features:
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- Table list with filtering and metadata.
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- Table preview with filtering and sorting.
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- Read-only queries execution.
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### Redash
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[Redash](https://github.com/getredash/redash) is a platform for data visualization.
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Supports for multiple data sources including ClickHouse, Redash can join results of queries from different data sources into one final dataset.
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Features:
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- Powerful editor of queries.
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- Database explorer.
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- Visualization tools, that allow you to represent data in different forms.
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### DBeaver
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[DBeaver](https://dbeaver.io/) - universal desktop database client with ClickHouse support.
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Features:
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- Query development with syntax highlight and autocompletion.
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- Table list with filters and metadata search.
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- Table data preview.
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- Full text search.
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### clickhouse-cli
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[clickhouse-cli](https://github.com/hatarist/clickhouse-cli) is an alternative command line client for ClickHouse, written in Python 3.
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Features:
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- Autocompletion.
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- Syntax highlighting for the queries and data output.
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- Pager support for the data output.
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- Custom PostgreSQL-like commands.
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### clickhouse-flamegraph
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[clickhouse-flamegraph](https://github.com/Slach/clickhouse-flamegraph) is a specialized tool to visualize the `system.trace_log` as [flamegraph](http://www.brendangregg.com/flamegraphs.html).
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## Commercial
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### DataGrip
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[DataGrip](https://www.jetbrains.com/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.
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Features:
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- Very fast code completion.
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- ClickHouse syntax highlighting.
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- Support for features specific to ClickHouse, for example nested columns, table engines.
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- Data Editor.
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- Refactorings.
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- Search and Navigation.
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### Holistics Software
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[Holistics](https://www.holistics.io/) is a full-stack data platform and business intelligence tool.
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Features:
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- Automated email, Slack and Google Sheet schedules of reports.
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- SQL editor with visualizations, version control, auto-completion, reusable query components and dynamic filters.
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- Embedded analytics of reports and dashboards via iframe.
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- Data preparation and ETL capabilities.
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- SQL data modeling support for relational mapping of data.
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### Looker
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[Looker](https://looker.com) 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
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can use Looker via the browser to explore data, build visualizations and dashboards, schedule reports, and share their
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insights with colleagues. Looker provides a rich set of tools to embed these features in other applications, and an API
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to integrate data with other applications.
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Features:
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- Designed around ease of use and self-service for end users.
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- Easy and agile development using LookML, a language which supports currated
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[Data Modeling](https://looker.com/platform/data-modeling) to support report writers and end users.
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- Powerful workflow integration via Looker's [Data Actions](https://looker.com/platform/actions).
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[Original article](https://clickhouse.yandex/docs/en/interfaces/third-party/gui/) <!--hide-->
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