feat(Analytics): create guide about connect tabix with clickhouse

pages/public_cloud/data_analytics/analytics/clickhouse_connect_tabix/guide.en-gb.md

@@ -0,0 +1,119 @@
+---
+title: ClickHouse - Connect with Tabix
+excerpt: Connect to your Analytics for ClickHouse using Tabix
+updated: 2026-01-10
+---
+
+## Objective
+
+Analytics engines allow you to focus on building and analyzing data while OVHcloud handles the database infrastructure and ensures it operates under proper conditions.
+
+**This guide explains how to connect to a ClickHouse analytics instance using Tabix, a lightweight and user-friendly SQL client for ClickHouse.**
+
+## Requirements
+
+- A [Public Cloud project](/links/public-cloud/public-cloud) in your OVHcloud account
+- Access to the [OVHcloud Control Panel](/links/manager)
+- A ClickHouse service running on your OVHcloud Analytics ([this guide](/pages/public_cloud/data_analytics/analytics/analytics_getting_started) can help you to meet this requirement)
+- [Configure your ClickHouse instance](/pages/public_cloud/data_analytics/analytics/clickhouse_incoming_connections) to accept incoming connections
+- A stable version of Tabix installed and public network connectivity (Internet). This guide was created using Tabix version 22.05.25.
+
+## Concept
+
+A ClickHouse service can be managed in several ways.
+
+One of the simplest, yet powerful, approaches is to use the Command Line Interface (CLI), as shown in our guide: [Connect to ClickHouse with CLI](/pages/public_cloud/data_analytics/analytics/clickhouse_connect_cluster_cli), or by using programming languages and drivers.
+
+Another option is to interact directly using a graphical management tool designed for ClickHouse: **Tabix**.
+
+To do so, we will install Tabix, configure your Analytics service for ClickHouse service to accept incoming connections, and finally connect to your ClickHouse service using Tabix.
+
+## Instructions
+
+### Installation
+
+Please follow the [official Tabix documentation](https://tabix.io/doc/Install/) to install Tabix.
+
+We are now ready to learn how to connect to our ClickHouse instance.
+
+### Connect with Tabix
+
+In Tabix, create a new connection and fill in the required fields (name, port, login, password, and SSL certificate if applicable):
+
+![New connection](images/new-connection.png){.thumbnail}
+
+You are now ready to interact with your Analytics service for ClickHouse.
+
+### Insert and Query Data
+
+You can use the SQL editor integrated in Tabix to create your first database and table, and insert sample data. Below is an example that creates the database **company** and table **customer**, then inserts a sample row.
+
+#### Load Data into ClickHouse
+
+To load 100 random rows into a table called `customer`, you can use the SQL editor in Tabix with the following script:
+
+```sql
+CREATE DATABASE IF NOT EXISTS company;
+
+CREATE TABLE IF NOT EXISTS company.customer
+(
+    id UInt32,
+    firstName String,
+    lastName String,
+    email String,
+    age UInt8,
+    createdAt DateTime
+) ENGINE = MergeTree()
+ORDER BY id;
+
+INSERT INTO company.customer
+SELECT
+    number + 1 AS id,
+    arrayElement(['John','Jane','Mary','Michael','Sarah','Robert','Linda','James','Patricia','David'], rand() % 10 + 1) AS firstName,
+    arrayElement(['Smith','Johnson','Williams','Jones','Brown','Davis','Miller','Wilson','Moore','Taylor'], rand() % 10 + 1) AS lastName,
+    concat(lower(arrayElement(['John','Jane','Mary','Michael','Sarah','Robert','Linda','James','Patricia','David'], rand() % 10 + 1)),
+           '.',
+           lower(arrayElement(['Smith','Johnson','Williams','Jones','Brown','Davis','Miller','Wilson','Moore','Taylor'], rand() % 10 + 1)),
+           '@',
+           arrayElement(['example.com','email.com','mail.com','test.com','demo.com'], rand() % 5 + 1)
+    ) AS email,
+    18 + rand() % 60 AS age,
+    now() AS createdAt
+FROM numbers(100);
+
+SELECT '100 random rows inserted into the customer table.' AS message;
+```
+
+![Compass Shell](images/tabixshell.png){.thumbnail}
+
+#### Query Data with the Aggregation Framework
+
+You can use SQL `GROUP BY` queries in ClickHouse to aggregate your data. For example, to count the number of customers for each age:
+
+```sql
+SELECT
+    age,
+    COUNT(*) AS count
+FROM company.customer
+GROUP BY age
+ORDER BY age ASC;
+```
+
+This query provides a summary of customers by age in your ClickHouse service.
+
+## Go further
+
+Explore the [Tabix documentation](https://tabix.io/doc/){.external} to view all the features and learn how to interact with your ClickHouse data.
+
+[ClickHouse service capabilities](/pages/public_cloud/data_analytics/analytics/clickhouse_capabilities_limitations)
+
+[Configuring vRack for Public Cloud](/pages/public_cloud/public_cloud_network_services/getting-started-07-creating-vrack)
+
+Join our [community of users](/links/community).
+
+## We want your feedback!
+
+We would love to help answer questions and appreciate any feedback you may have.
+
+If you need training or technical assistance to implement our solutions, contact your sales representative or click on [this link](/links/professional-services) to get a quote and ask our Professional Services experts for a custom analysis of your project.
+Are you on Discord? Connect to our channel at [https://discord.gg/ovhcloud](https://discord.gg/ovhcloud) and interact directly with the team that builds our databases service!

pages/public_cloud/data_analytics/analytics/clickhouse_connect_tabix/meta.yaml

@@ -0,0 +1,4 @@
+id: 4c1c2769-6a6d-4306-860c-709eaf206053
+full_slug: data-analytics-clickhouse-connect-tabix
+engine: clickhouse
+reference_category: public-cloud-data-analytics-clickhouse-getting-started