MongoDB integrationBuild MongoDB dashboards for collections, documents, product activity, and operations
Connect MongoDB to Chartbrew and turn collections, Mongo shell queries, documents, nested fields, users, events, and operational records into live dashboards.
What You Can Track
MongoDB metrics for application and operational reporting
Use MongoDB collections as reusable dashboard datasets for product, customer, support, revenue, and internal workflow reporting.
Collection counts
Track documents, active records, new objects, and grouped totals across collections.
User and account metrics
Report on users, accounts, workspaces, teams, and customer activity stored in MongoDB.
Status distributions
Group documents by status, plan, role, stage, type, or custom field.
Event trends
Chart activity, jobs, messages, orders, or product events over time.
Nested document fields
Use nested fields and query output to create KPIs, charts, and tables.
Operational review tables
List stale records, failed jobs, recent activity, or documents needing attention.
How It Works
From MongoDB connection to live dashboard
The MongoDB workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect MongoDB
Add a MongoDB connection string or host, database, user, password, and authentication 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 MongoDB
Shareable dashboards on top of MongoDB application data
Chartbrew gives MongoDB teams reusable query datasets, AI-assisted reporting, scheduled refreshes, snapshots, and embedded dashboards.
Native MongoDB connection
Use Chartbrew as a reporting layer on top of MongoDB 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 MongoDB
Start with the right MongoDB access, a clear reporting scope, and a few fields that map to useful dashboard metrics.
A MongoDB database reachable from Chartbrew
A connection string or host, database, user, password, and authentication details
A read-only user with access to reporting collections
Collection names and fields for the first dashboards
Timestamp, status, account, user, numeric, or nested fields for useful reporting
| Dataset idea | What it can power |
|---|---|
| Documents by status | Documents grouped by status, type, plan, or workflow field |
| New documents | Documents created by day, week, or month |
| Active accounts | Users, teams, accounts, or workspaces with recent activity |
| Collection totals | Current counts and summary values from key collections |
| Product events | Events grouped by name, user, account, or time period |
| Failed jobs | Documents representing failed, pending, or stale jobs |
| Recent records | Latest documents with selected fields for review |
| Customer view | Metrics filtered by tenant, customer, organization, or workspace ID |
Setup Guide
Follow the MongoDB visualization guide
Use the guide to connect MongoDB, query collections, and create your first dashboard from document data.
Related Features
Features that make MongoDB reporting useful
Use MongoDB dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
MongoDB query assistant
Use AI-assisted query generation to move faster from MongoDB collections to dashboard datasets.
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 MongoDB with the rest of your reporting stack
Blend MongoDB metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
MongoDB integration questions
Practical details about using MongoDB data in Chartbrew dashboards.
Build your MongoDB dashboard
Turn MongoDB collections into live app and operations reporting
Connect MongoDB, create reusable query datasets, and share product, customer, and workflow dashboards.
