
How to use variables in Chartbrew
Variables in Chartbrew let you create adaptable charts, filters, embeds, and reports by replacing fixed values with dynamic placeholders.
Tutorials, product updates, and reporting guides for connecting your data to Chartbrew and building clear client-facing dashboards.
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Variables in Chartbrew let you create adaptable charts, filters, embeds, and reports by replacing fixed values with dynamic placeholders.

Learn how to schedule automated Chartbrew dashboard snapshots, customize theme and size, and deliver images to email, Slack, or any webhook in minutes.

Learn how to connect ClickHouse to Chartbrew, write SQL queries, and build dynamic charts. This guide walks you through setting up a data source, creating datasets, and automating updates for real-time insights.

Learn how to visualize Baserow data in Chartbrew with this step-by-step guide. From setting up an API connection to configuring datasets, handling pagination, and creating interactive charts, this tutorial will help you build a Baserow dashboard effortlessly.

In this tutorial, we'll guide you through the steps to connect your Amazon RDS databases, specifically Postgres and MySQL, with Chartbrew

This tutorial shows you how to connect, query, and visualize your Supabase database with Chartbrew. Create Supabase client reports with ease.

In this tutorial, we are going to connect Heroku Postgres to Chartbrew, fetch some data, and create charts to visualize our data.

In this short tutorial, we will show how you can connect any MySQL database to Chartbrew. Once we connect the database, we are going to write a few simple queries to fetch some data and create datasets to be visualized in multiple ways.
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