MongoDB Charts

MongoDB Charts

It is a built-in feature of MongoDB Atlas and is widely used for analytics, reporting, and business insights.

What is MongoDB Charts?

• Visualizes MongoDB data in real time

• No SQL or coding required

• Connects directly to Atlas clusters

• Supports aggregation pipelines

• Create dashboards & share them

Why Use MongoDB Charts?

•  Real-time analytics

•  No ETL or data export

• Secure & role-based access

•  Uses MongoDB Aggregation internally

•  Responsive & interactive dashboards

Supported Chart Types

• Bar Chart

• Line Chart

• Area Chart

• Pie / Donut Chart

• Table

• Heatmap

• Geo Map

• KPI / Number Chart

How MongoDB Charts Works (Flow)

Step-by-Step: Create a Chart

1️⃣ Open MongoDB Atlas

• Go to Charts section

• Click New Dashboard

2️⃣ Connect Data Source

• Select Cluster

• Choose Database & Collection

3️⃣ Choose Chart Type

Example: Bar Chart

• X-Axis → course

• Y-Axis → count

• Aggregation → COUNT

4️⃣ Apply Filters (Optional)

Example:

• age > 20

• course = BA

5️⃣ Save & Add to Dashboard

• Resize & arrange charts

• Add multiple charts per dashboard

Example Use Case

Student Analytics Dashboard

•  Students per course (Bar Chart)

• Average age trend (Line Chart)

•  Course distribution (Pie Chart)

• Total students (KPI)

MongoDB Charts vs BI Tools

Security & Sharing

• Share dashboards via link

• Control access using Atlas roles

• Embed charts in web apps (iframe)

MongoDB Charts vs Aggregation

• Aggregation → data processing

• Charts → data visualization

• Charts internally use aggregation pipelines

Best Practices

• Index fields used in charts

• Pre-aggregate heavy reports

• Use filters for performance

• Avoid very large collections without $match

Common Mistakes

• No indexes → slow charts

• Too many widgets in one dashboard

• Not filtering data

• Expecting charts to modify data

Quick Recap