Event Processing

Transform raw events into actionable insights. StreamCore's stream processing engine enables you to perform sophisticated analyses and computations on continuous data streams.

Processing Features

💾

Stateful Processing

Maintain state across event processing with automatic state management

⏱️

Time Windowing

Process events using tumbling, sliding, and session windows

🔗

Joins and Aggregations

Combine streams and perform complex aggregations in real-time

🎯

Complex Event Processing

Detect patterns and complex event sequences across streams

✓

Exactly-Once Semantics

Guarantee no data loss and no duplication in processing

🔍

Interactive Queries

Query the state of your running processing applications

Event Timeline Processing

Process events as they flow through your system with complete visibility into the timeline. Track event progression from ingestion through processing to delivery.

  • → Event ingestion with timestamps
  • → Processing with watermarks
  • → Results delivery and state updates
  • → Complete audit trail and metrics
Event timeline visualization

Core Capabilities

Time Windowing

Process events in windows of time to calculate aggregations and detect patterns. Choose from various windowing strategies based on your use case.

WindowingExample.java java 
// Tumbling window aggregation
stream
  .groupBy(key = "user_id")
  .windowedBy(tumbling(Duration.ofSeconds(10)))
  .aggregate(sum("amount"))
  .toStream()
  .to("output-topic");

Stream Joins

Correlate data from multiple streams in real-time. Perform stream-stream joins, stream-table joins, and multi-stream joins to build comprehensive views.

StreamJoinExample.java java 
// Stream-stream join
streamA
  .join(streamB,
    (leftValue, rightValue) ->
      new CombinedEvent(leftValue, rightValue),
    JoinWindows.of(Duration.ofSeconds(5))
  )
  .to("joined-topic");

Common Use Cases

Fraud Detection

Detect fraudulent transactions in real-time by correlating user behavior patterns across multiple events and comparing against historical baselines.

Real-time Analytics

Calculate metrics, dashboards, and reports in real-time as data flows through your system. Get instant insights without waiting for batch processing.

Anomaly Detection

Identify unusual patterns and outliers in real-time. Alert operations teams immediately when anomalies are detected.

Event-Driven Automation

Trigger automatic actions and workflows based on specific event patterns. Build reactive systems that respond instantly to business events.

Start Processing Events Today

Build real-time processing applications with StreamCore

View Documentation