MongoDB powers real-time analytics with its aggregation pipeline, change streams, and Atlas integration for dashboards. The aggregation pipeline provides a powerful framework for data transformation, grouping, filtering, and computation directly in the database. Change streams...
ZTABS builds real-time analytics with MongoDB — delivering production-grade solutions backed by 500+ projects and 10+ years of experience. MongoDB powers real-time analytics with its aggregation pipeline, change streams, and Atlas integration for dashboards. The aggregation pipeline provides a powerful framework for data transformation, grouping, filtering, and computation directly in the database. Get a free consultation →
500+
Projects Delivered
4.9/5
Client Rating
10+
Years Experience
MongoDB is a proven choice for real-time analytics. Our team has delivered hundreds of real-time analytics projects with MongoDB, and the results speak for themselves.
MongoDB powers real-time analytics with its aggregation pipeline, change streams, and Atlas integration for dashboards. The aggregation pipeline provides a powerful framework for data transformation, grouping, filtering, and computation directly in the database. Change streams push data changes to applications in real time, enabling live dashboards and event-driven analytics. Atlas Charts builds dashboards directly on MongoDB data without ETL pipelines. For applications that need analytics on operational data in real time — user behavior tracking, product metrics, operational dashboards — MongoDB eliminates the traditional ETL delay between data generation and insight.
A multi-stage processing pipeline that groups, filters, transforms, and computes analytics in the database. Express complex analytics without moving data to a separate warehouse.
Push data changes to applications in real time. Live dashboards update instantly when underlying data changes. No polling or periodic refresh needed.
Build interactive dashboards directly on MongoDB data. No ETL pipeline, no separate BI tool configuration. Real-time charts that reflect current data.
Pre-compute expensive aggregations as materialized views. Schedule refresh or trigger on data changes. Dashboards read pre-computed results in milliseconds.
Building real-time analytics with MongoDB?
Our team has delivered hundreds of MongoDB projects. Talk to a senior engineer today.
Schedule a CallUse the $merge stage in aggregation pipelines to create and refresh materialized views on a schedule, keeping dashboard queries fast while source data stays fresh.
MongoDB has become the go-to choice for real-time analytics because it balances developer productivity with production performance. The ecosystem maturity means fewer custom solutions and faster time-to-market.
| Layer | Tool |
|---|---|
| Database | MongoDB Atlas |
| Analytics | Aggregation Pipeline |
| Visualization | Atlas Charts / Grafana |
| Real-Time | Change Streams / WebSockets |
| Search | Atlas Search (Lucene-based) |
| Processing | Atlas Triggers / Realm Functions |
A MongoDB real-time analytics system captures events (page views, clicks, transactions, API calls) as documents in a time-series or standard collection. The aggregation pipeline runs multi-stage analytics: $match filters by time range and event type, $group aggregates by dimensions (user segment, product category, geographic region), $window computes moving averages and running totals, and $merge writes results to a materialized view collection. Change streams push new events to a WebSocket server that updates live dashboards in the browser.
Atlas Charts connects directly to collections and materialized views for self-service dashboard creation. For high-volume analytics, sharding distributes data and computation across multiple nodes. Atlas Search adds full-text search with faceted filtering for log analysis and event exploration.
Atlas Triggers run serverless functions on data changes for alerting and derived computations.
Our senior MongoDB engineers have delivered 500+ projects. Get a free consultation with a technical architect.