Amazon RDS integrationBuild Amazon RDS dashboards for PostgreSQL, MySQL, and operational reporting
Connect Amazon RDS databases to Chartbrew and turn SQL queries, tables, joins, customer records, product events, finance data, and operational metrics into live dashboards.
What You Can Track
Amazon RDS metrics for product, operations, and client dashboards
Use RDS MySQL or RDS PostgreSQL data to report on the business entities, events, and KPIs already stored in your production database.
Revenue and orders
Track order totals, paid revenue, refunds, invoices, and customer value from relational tables.
User growth
Chart signups, activated users, accounts, teams, and retention signals over time.
Operational status
Report on tickets, jobs, tasks, shipments, bookings, or internal workflow states.
Product activity
Turn event tables into usage, feature adoption, and engagement dashboards.
Database table summaries
Create KPI cards and tables from joins, filters, counts, sums, and calculated fields.
Client reporting
Use filter variables to reuse RDS dashboards across clients, tenants, or accounts.
How It Works
From Amazon RDS connection to live dashboard
The Amazon RDS workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect Amazon RDS
Add your RDS PostgreSQL or RDS MySQL host, database, port, user, password, and SSL 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 Amazon RDS
A secure reporting layer on top of Amazon RDS
Chartbrew keeps reporting close to your source of truth while giving stakeholders dashboards, snapshots, embeds, and AI-assisted dataset building.
Native RDS connection
Use Chartbrew as a reporting layer on top of Amazon RDS 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 Amazon RDS
Start with the right Amazon RDS access, a clear reporting scope, and a few fields that map to useful dashboard metrics.
An Amazon RDS PostgreSQL or MySQL database reachable from Chartbrew
Database host, port, database name, user, password, and SSL settings
A read-only database user with access to the reporting tables or views
Allowed network access from your Chartbrew environment to the RDS instance
A few known reporting questions, table names, or joins to start the first datasets
| Dataset idea | What it can power |
|---|---|
| Daily orders | Orders, payments, or bookings grouped by day |
| Revenue by customer | Customer-level revenue from invoice, order, or transaction tables |
| New accounts | New signups or organizations over time |
| Active users | Recent activity grouped by day, team, plan, or segment |
| Workflow backlog | Open tickets, jobs, orders, or tasks grouped by status |
| Feature usage | Events or audit records grouped by feature name |
| Tenant summary | KPIs filtered by client, workspace, or account ID |
| Exception table | Failed jobs, stale records, overdue tasks, or records needing review |
Setup Guide
Follow the Amazon RDS connection guide
Use the setup walkthrough to connect RDS, configure access, create datasets, and start building database dashboards in Chartbrew.
Related Features
Features that make Amazon RDS reporting useful
Use Amazon RDS 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.
FAQ
Amazon RDS integration questions
Practical details about using Amazon RDS data in Chartbrew dashboards.
Build your Amazon RDS dashboard
Turn Amazon RDS data into live dashboards without exporting tables
Connect RDS PostgreSQL or MySQL, write reusable datasets, and share operational reporting across teams and clients.
