The Chartbrew blog
Ideas, guides, and product updates.
Tutorials, product updates, and reporting guides for connecting your data to Chartbrew and building clear client-facing dashboards.
Page 1 of 3
Search results
How to connect Jira to Chartbrew and build project dashboards
Connect Jira Cloud to Chartbrew, create project, sprint, bug tracking, and team workload dashboards, and use Jira AI planning to build charts from natural-language questions.
Read article →
How to connect Stripe to Chartbrew and build a revenue dashboard
Connect Stripe to Chartbrew with the new Stripe source, create starter revenue charts, and use the AI assistant to explore payments, subscriptions, invoices, refunds, fees, and MRR.
Read article →
Visualizing ClickHouse Data with Chartbrew: A Step-by-Step Guide
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.
Read article →
Visualizing Baserow data with Chartbrew
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.
Read article →
How to connect and visualize Amazon RDS data with Chartbrew
In this tutorial, we'll guide you through the steps to connect your Amazon RDS databases, specifically Postgres and MySQL, with Chartbrew
Read article →
Connect and visualize your Supabase Database with Chartbrew
This tutorial shows you how to connect, query, and visualize your Supabase database with Chartbrew. Create Supabase client reports with ease.
Read article →
How to visualize Heroku Postgres data with Chartbrew
In this tutorial, we are going to connect Heroku Postgres to Chartbrew, fetch some data, and create charts to visualize our data.
Read article →
Visualize MySQL data with Chartbrew
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.
Read article →Connect. Explore. Keep watching.
Start exploring your own data.
Use Chartbrew Cloud or host it yourself.
