Angular has evolved dramatically in the past two years. With the introduction of Angular v19, Signals, Zoneless change detection, and built-in Server-Side Rendering (SSR) support, building interactive dashboards in Angular is now faster, more performant, and more maintainable than ever.
This comprehensive guide walks you through creating powerful dashboards in Angular, starting with modern Angular v19 patterns, then showing you how to supercharge your dashboards with Databrain's embedded analytics platform.
What you'll build:
A modern Angular v19 dashboard with SSR support
Integration with Databrain for production-ready analytics
Prerequisites:
Node.js 20+ and npm 10+
Basic Angular knowledge
Familiarity with TypeScript (recommended
Without Databrain - Building an Interactive Angular Dashboard
Let's start by building a custom dashboard to understand the fundamentals, then we'll integrate Databrain for production-ready features.
Getting started with Angular V19
Angular v19 introduces a revolutionary approach with standalone components, built-in SSR, and Signals. Let's set up a modern Angular project:
Bash
# Install Angular CLI globally
npm install -g @angular/cli
# Create new project with SSR enabled
ng new dashboard-app --routing --style css --ssr
Key changes from older Angular versions:
`--ssr` flag automatically configures server-side rendering
Zoneless change detection available (no zone.js dependency)
Signals enabled by default for reactive state management
Standalone components are now the default (no NgModule needed)
What's different in 2025:
No `app.module.ts` required (standalone components are default)
`app.config.ts` replaces module configuration
SSR configured out of the box
Better tree-shaking and smaller bundle sizes
Adding Font Awesome Icons
We'll need icons for our dashboard. Install Font Awesome with Angular v19 support:
Alternate Solution: With Databrain - Create Angular Dashboards in Minutes
Now that you understand how to build dashboards manually in Angular, let's talk about the reality of production applications.
The Challenge of Custom Dashboards at Scale
Building a dashboard from scratch is excellent for learning, but production dashboards require significantly more:
Real-time data synchronization across multiple data sources
Advanced filtering with dynamic drill-downs and cross-filtering
User permissions and role-based access control (RBAC)
Multi-tenant architecture with data isolation
Scheduled reports and automated email exports
Export capabilities (PDF, CSV, Excel)
50+ chart types and visualizations
Mobile responsiveness across all devices
Building all of this from scratch can take 3-6 months of development time and cost $50,000-$200,000. This is where Databrain becomes valuable.
What is Databrain?
Databrain is an embedded analytics platform that provides production-ready dashboard components designed for modern web applications. It handles the complex infrastructure while letting you focus on your core product.
Step 1: Connect to Your Data Source in Databrain
Before integrating Databrain into your Angular app, you need to set up your data source and create dashboards in the Databrain platform.
Connecting Your Data Source:
1. Sign up at [usedatabrain.com](https://www.usedatabrain.com)
2. Create a workspace for your project
3. Connect your data source:
Click on "Data Sources" in the sidebar
Select your database type (PostgreSQL, MySQL, MongoDB, ClickHouse, etc.)
Enter your database credentials
Test the connection
Save your data source
Supported Data Sources:
PostgreSQL, MySQL, SQL Server, MongoDB
Snowflake, BigQuery, Redshift
ClickHouse, DuckDB, Trino
REST APIs and custom integrations
100+ pre-built connectors
Step 2: Create a Metric in Databrain Dashboard
Once your data source is connected, create visualizations and metrics:
Creating a Metric in Databrain Dashboard:
Access Your Databrain Worskpace
Log in to your Databrain account and navigate to the workspace where you want to create the dashboard. Workspaces are like project folders where you organize your dashboards and metrics.
Open or Create a Dashboard
Inside your chosen workspace, you can either open an existing dashboard or create a new one. Dashboards are where you'll display your metrics.
Click on "Create Metric"
Within the selected dashboard, you'll find an option "Create Metric". Click on this to start creating your new metric.
Choose Metric Type
Databrain offers different types of metrics. You can select from single values, charts, or tables based on what best suits your data presentation needs.
Define Metric Settings
If you're creating a chart, you can further customize it by selecting the chart type (e.g., bar chart, line chart), and formatting options (e.g., colors, labels).
Data Visualization
If you're creating a chart, you can further customize it by selecting the chart type (e.g., bar chart, line chart), and formatting options (e.g., colors, labels
Apply Filters ( If Needed)
You can add filters to the metric to display specific data subsets. For instance, you can filter data by date, category, or any relevant criteria.
Customize Appearance (If Desired)
You can customize the appearance of your metric to make it visually appealing. This might include adjusting fonts, colors, and other styling options.
Save Your Metric
Once you've configured all the settings, make sure to save your metric. This ensures your work is stored and can be accessed later.
View Your Metric on the Dashboard
Your newly created metric will now appear on the dashboard. You can arrange and organize it on the dashboard as needed.
By following these steps, you can easily create a metric in your Databrain dashboard, enabling you to visualize and present your data in a meaningful way.
Step 3: Setup Angular for Databrain Integration
Now let's integrate your Databrain dashboard into your Angular v19 application.
Install the Required Package
Bash
npm install @databrainhq/plugin
This package provides the web components needed to embed Databrain dashboards in your Angular application.
Step 4: Integrating Databrain Dashboard into Your Angular Application
1. Update app.config.ts (Angular v19 Way)
Since we're using standalone components in Angular v19, we need to configure custom elements support:
After completing the integration, run your Angular application:
Development Mode:
Bash
ng serve
With Server-Side Rendering (Production):
Bash
ng build
npm run serve:ssr
Your application will start, and you can navigate to the Analytics page to see your Databrain dashboard embedded and running.
Make sure to replace `your-databrain-token-here` and `your-dashboard-id` with your actual credentials from the Databrain platform.
Step 6: Customize Your Dashboard
Tweak the Dashboard
Customizing your dashboard lets you tailor it to your specific needs and preferences. Here are few examples of customization you can do:
Drag and Drop: You can rearrange metrics on your dashboard by simply dragging and dropping them. This flexibility allows you to create a visually pleasing layout.
Change Colors: To match your brand or improve data visualization, you can change the colors of charts, including individual elements like bars in a bar chart.
User Permissions: You can choose whether users can modify the dashboard's metrics or not. This control ensures your data remains secure and that the dashboard serves its intended purpose.
Make The Dashboard Accessible
Now that you've connected, created, integrated, and customized your dashboard, it's time to share it with your audience.
While saving the dashboard to a workspace, you can select 'current user' or 'all users.' This decision determines who can access and view the dashboard.
By following these steps, you'll be able to create, customize, and share data-rich dashboards effectively, ensuring your data is both accessible and visually engaging.
Manual Dashboard vs. Databrain: When to Use Each
Feature
Manual Dashboard
Databrain
Time to Deploy
2-6 months
1-2 days
Development Cost
$50,000-$200,000
$99-$499/month
Maintenance
Ongoing dev team
Fully managed
Chart Types
Build each one
50+ pre-built
Data Sources
Custom integration
100+ connectors
Real-time Updates
Build yourself
Built-in
Mobile Responsive
Custom CSS needed
Automatic
RBAC & Security
Build from scratch
Enterprise-ready
Exporting (PDF/CSV)
Build yourself
One-click
Email Reports
Build infrastructure
Built-in scheduler
Best For
Learning, simple dashboards
Production apps, SaaS products
Conclusion
You now have two powerful approaches:
Custom Dashboard (Parts 1-4) - Perfect for learning Angular v19 patterns and simple use cases
Databrain Integration (Part 5) - Production-ready analytics in hours instead of months
For production applications, most teams use a hybrid approach:
Databrain for complex analytics, reporting, and customer-facing dashboards
Custom components for simple metrics and app-specific UI