[ch-ui](https://github.com/caioricciuti/ch-ui) is a simple React.js app interface for ClickHouse databases, designed for executing queries and visualizing data. Built with React and the ClickHouse client for web, it offers a sleek and user-friendly UI for easy database interactions.
Features:
- ClickHouse Integration: Easily manage connections and execute queries.
- Responsive Tab Management: Dynamically handle multiple tabs, such as query and table tabs.
- Performance Optimizations: Utilizes Indexed DB for efficient caching and state management.
- Local Data Storage: All data is stored locally in the browser, ensuring no data is sent anywhere else.
"Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture. Trusted and loved by the community" — grafana.com.
ClickHouse datasource plugin provides a support for ClickHouse as a backend database.
[qryn](https://metrico.in) is a polyglot, high-performance observability stack for ClickHouse _(formerly cLoki)_ with native Grafana integrations allowing users to ingest and analyze logs, metrics and telemetry traces from any agent supporting Loki/LogQL, Prometheus/PromQL, OTLP/Tempo, Elastic, InfluxDB and many more.
Features:
- Built in Explore UI and LogQL CLI for querying, extracting and visualizing data
- Native Grafana APIs support for querying, processing, ingesting, tracing and alerting without plugins
- Powerful pipeline to dynamically search, filter and extract data from logs, events, traces and beyond
- Ingestion and PUSH APIs transparently compatible with LogQL, PromQL, InfluxDB, Elastic and many more
- Ready to use with Agents such as Promtail, Grafana-Agent, Vector, Logstash, Telegraf and many others
By default, DBeaver does not connect using a session (the CLI for example does). If you require session support (for example to set settings for your session), edit the driver connection properties and set `session_id` to a random string (it uses the http connection under the hood). Then you can use any setting from the query window.
[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).
[cickhouse-plantuml](https://pypi.org/project/clickhouse-plantuml/) is a script to generate [PlantUML](https://plantuml.com/) diagram of tables’ schemes.
[xeus-clickhouse](https://github.com/wangfenjin/xeus-clickhouse) is a Jupyter kernal for ClickHouse, which supports query CH data using SQL in Jupyter.
[MindsDB](https://mindsdb.com/) is an open-source AI layer for databases including ClickHouse that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models. MindsDB Studio(GUI) allows you to train new models from database, interpret predictions made by the model, identify potential data biases, and evaluate and visualize model accuracy using the Explainable AI function to adapt and tune your Machine Learning models faster.
[Bytebase](https://bytebase.com) is a web-based, open source schema change and version control tool for teams. It supports various databases including ClickHouse.
[Zeppelin-Interpreter-for-ClickHouse](https://github.com/SiderZhang/Zeppelin-Interpreter-for-ClickHouse) is a [Zeppelin](https://zeppelin.apache.org) interpreter for ClickHouse. Compared with JDBC interpreter, it can provide better timeout control for long running queries.
[ClickCat](https://github.com/clickcat-project/ClickCat) is a friendly user interface that lets you search, explore and visualize your ClickHouse Data.
[clickhouse-monitoring](https://github.com/duyet/clickhouse-monitoring) is a simple Next.js dashboard that relies on `system.*` tables to help monitor and provide an overview of your ClickHouse cluster.
Features:
- Query monitor: current queries, query history, query resources (memory, parts read, file_open, ...), most expensive queries, most used tables or columns, etc.
- Cluster monitor: total memory/CPU usage, distributed queue, global settings, mergetree settings, metrics, etc.
- Tables and parts information: size, row count, compression, part size, etc., at the column level detail.
[DataGrip](https://www.jetbrains.com/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.
[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 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
[SeekTable](https://www.seektable.com) is a self-service BI tool for data exploration and operational reporting. It is available both as a cloud service and a self-hosted version. Reports from SeekTable may be embedded into any web-app.
- Powerful report parameters for SQL filtering and report-specific query customizations.
- Can connect to ClickHouse both with a native TCP/IP endpoint and a HTTP(S) interface (2 different drivers).
- It is possible to use all power of ClickHouse SQL dialect in dimensions/measures definitions.
- [Web API](https://www.seektable.com/help/web-api-integration) for automated reports generation.
- Supports reports development flow with account data [backup/restore](https://www.seektable.com/help/self-hosted-backup-restore); data models (cubes) / reports configuration is a human-readable XML and can be stored under version control system.
[Chadmin](https://github.com/bun4uk/chadmin) is a simple UI where you can visualize your currently running queries on your ClickHouse cluster and info about them and kill them if you want.
[TABLUM.IO](https://tablum.io/) — an online query and analytics tool for ETL and visualization. It allows connecting to ClickHouse, query data via a versatile SQL console as well as to load data from static files and 3rd party services. TABLUM.IO can visualize data results as charts and tables.
