How fresh is "real-time" in practice?

Our real-time pipelines deliver data to dashboards within 1-5 seconds of the event occurring. For most business applications, this is indistinguishable from instant.

What volume of data can the system handle?

Our architectures handle millions of events per day as a baseline. With Kafka and ClickHouse, we have built systems processing hundreds of millions of events daily.

Can I embed analytics in my own application?

Yes. We build embeddable dashboard components using React that integrate directly into your application with role-based access and white-labeled styling.

Real-Time Analytics That Drive Decisions

Streaming data pipelines, time-series databases, and interactive dashboards. Our AI-managed teams build analytics platforms that deliver insights in milliseconds, not hours.

Solution: Real-Time Analytics

Real-time analytics platforms process and visualize data as it arrives, enabling instant decision-making. Unlike batch analytics that report on yesterday, real-time systems show what is happening now — user behavior, system performance, business metrics, and anomalies. Building one requires streaming ingestion, efficient storage, and responsive visualization layers.

Stack Components

Apache Kafka / Amazon Kinesis (Stream Processing): Distributed event streaming for ingesting millions of events per second with guaranteed delivery and replay capability.
ClickHouse / TimescaleDB (Analytics Database): Columnar or time-series database optimized for fast aggregation queries over billions of rows with sub-second response times.
Apache Flink / Spark Streaming (Stream Processing Engine): Real-time computation on data streams for aggregations, windowing, pattern detection, and enrichment before storage.
D3.js / Recharts / Grafana (Visualization Layer): Interactive charts, dashboards, and drill-down interfaces that update in real time as new data flows in.
WebSocket / SSE (Real-Time Delivery): Push-based protocols that deliver dashboard updates to browsers instantly without polling.

Best For

Business intelligence dashboards
Application performance monitoring
IoT sensor data visualization
Financial trading and risk analytics
Marketing campaign performance tracking
Operational monitoring for logistics and supply chain

Case Studies

SaaS Usage Analytics Dashboard: Real-time product analytics platform tracking user behavior, feature adoption, and conversion funnels for a B2B SaaS company with 50K+ daily active users.
- ClickHouse processing 100M+ events daily with sub-200ms queries
- Real-time funnel visualization updating every 5 seconds
- Custom cohort analysis with 30-day retention tracking
- 70% reduction in time-to-insight vs. previous batch analytics
Logistics Fleet Monitoring: Real-time dashboard tracking 500+ delivery vehicles with GPS, speed, route deviation, and ETA calculations.
- GPS data ingested via Kafka at 10K events/second
- Live map with vehicle positions updating every 3 seconds
- Automated alerts for route deviations and delivery delays

Frequently Asked Questions

How fresh is "real-time" in practice?: Our real-time pipelines deliver data to dashboards within 1-5 seconds of the event occurring. For most business applications, this is indistinguishable from instant.
What volume of data can the system handle?: Our architectures handle millions of events per day as a baseline. With Kafka and ClickHouse, we have built systems processing hundreds of millions of events daily.
Can I embed analytics in my own application?: Yes. We build embeddable dashboard components using React that integrate directly into your application with role-based access and white-labeled styling.