Learn how to connect PostgreSQL, MySQL, MongoDB, Supabase, Firestore, Stripe, GA4, and custom APIs to Chartbrew. This blog focuses on practical tutorials, dashboard walkthroughs, reporting guides, product updates, and data visualization tips for teams that need clear client-facing analytics.
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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.
Integrate Google Analytics (GA4) with your Chartbrew dashboards and use our advanced query builder and chart editor to get the most out of your data.
Learn how to connect Timescale databases to Chartbrew and create powerful visualization dashboards and reports to monitor and share with others.
Empower your team and clients with dynamic, branded reporting dashboards
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