MySQL integrationBuild MySQL dashboards for revenue, users, product activity, and operations
Connect MySQL to Chartbrew and turn SQL queries, relational tables, joins, orders, users, events, tasks, and customer records into live dashboards.
What You Can Track
MySQL metrics for everyday business reporting
Use Chartbrew to report on the customer, revenue, product, and operational data already stored in your MySQL database.
Revenue and orders
Track orders, invoices, paid revenue, refunds, and customer value from relational tables.
User growth
Chart signups, activated users, accounts, and teams over time.
Operational workflows
Report on tickets, jobs, tasks, bookings, shipments, or other workflow records.
Product activity
Turn event tables or audit logs into usage and engagement dashboards.
Table summaries
Create KPIs from counts, sums, averages, joins, filters, and calculated SQL fields.
Client filters
Reuse one dashboard across clients, tenants, accounts, products, or regions.
How It Works
From MySQL connection to live dashboard
The MySQL workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect MySQL
Add your MySQL host, database, user, password, and connection options in Chartbrew.
Inspect tables and fields
Use your schema, tables, columns, and joins to decide which reporting datasets should power the dashboard.
Build reusable datasets
Write queries for KPIs, trends, breakdowns, and tables that can be reused across dashboards and clients.
Share live reporting
Publish dashboards, embed charts, and send scheduled snapshots to keep stakeholders aligned.
Why Chartbrew for MySQL
A live dashboard layer for MySQL data
Chartbrew adds reusable SQL datasets, AI-assisted queries, snapshots, embeds, and secure sharing on top of MySQL.
Native MySQL connection
Use Chartbrew as a reporting layer on top of MySQL without exporting tables into a separate spreadsheet workflow.
Schema-aware reporting
Build datasets from tables, fields, joins, and query results so charts stay grounded in the structure of your data.
AI-assisted queries
Use Chartbrew AI to draft dataset ideas and query starting points when you want to move faster from schema to chart.
Scheduled refreshes
Keep dashboards up to date with automatic refresh schedules for daily, weekly, monthly, or operational reporting.
Secure sharing
Share dashboards, embedded reports, and snapshots without giving every stakeholder direct database access.
Multiple sources together
Place database metrics beside API, analytics, product, customer, payment, and project management data.
Setup Requirements
What you need before connecting MySQL
Start with the right MySQL access, a clear reporting scope, and a few fields that map to useful dashboard metrics.
A MySQL database reachable from Chartbrew
Host, port, database name, user, password, and optional SSL settings
A read-only user with access to reporting tables or views
Known tables, joins, or reporting questions for the first dashboard
Date, status, customer, account, numeric, or category fields for useful charts
| Dataset idea | What it can power |
|---|---|
| Daily revenue | Paid orders or invoices grouped by day |
| New users | Signups or accounts created over time |
| Active accounts | Accounts with recent product or transaction activity |
| Orders by status | Orders, tickets, or jobs grouped by workflow status |
| Top customers | Customers ranked by revenue, usage, order count, or activity |
| Feature usage | Events grouped by feature, plan, or account |
| Overdue tasks | Open records past due or not updated recently |
| Client summary | KPIs filtered by customer, workspace, region, or tenant |
Setup Guide
Follow the MySQL visualization guide
Use the walkthrough to connect MySQL, write SQL datasets, and build a Chartbrew dashboard from relational data.
Related Features
Features that make MySQL reporting useful
Use MySQL dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
SQL query builder
Write, test, and reuse SQL datasets for operational charts, tables, filters, and dashboard sections.
AI SQL assistant
Ask Chartbrew to draft SQL queries and chart ideas from your schema when you need a faster starting point.
Data update schedules
Refresh database dashboards automatically so recurring reports stay current without manual exports.
Dashboard snapshots
Send scheduled dashboard snapshots to clients, operators, founders, and internal reporting channels.
Filter variables
Reuse one dashboard across customers, regions, products, statuses, date ranges, and team-specific views.
Embedded reports
Embed live database dashboards into portals, admin panels, client workspaces, or internal tools.
Related Integrations
Connect MySQL with the rest of your reporting stack
Blend MySQL metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
MySQL integration questions
Practical details about using MySQL data in Chartbrew dashboards.
Build your MySQL dashboard
Turn MySQL tables into live dashboards without exporting data
Connect MySQL, create reusable SQL datasets, and share dashboards for teams, clients, and recurring reports.
