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Stream Processing,
Reimagined in Rust

Eventflux is a high-performance Complex Event Processing (CEP) engine built from the ground up in Rust. Process millions of events per second with SQL-like queries, pattern matching, and real-time analytics.

1M+Events/sec
0Garbage Collection
SQLFirst Design

Real-World Event Processing

See how Eventflux handles complex streaming scenarios with elegant SQL queries

📈

High-Frequency Trading

Detect arbitrage opportunities by correlating price feeds from multiple exchanges in real-time. Trigger alerts when price spreads exceed thresholds within time windows.

Solution
-- Detect arbitrage opportunities across exchanges
SELECT a.symbol, a.price AS price_a, b.price AS price_b,
ABS(a.price - b.price) AS spread
FROM ExchangeA AS a
WINDOW TUMBLING(1 sec)
JOIN ExchangeB AS b
ON a.symbol = b.symbol
WHERE ABS(a.price - b.price) / a.price > 0.001
INSERT INTO ArbitrageAlerts;
🌡️

IoT Anomaly Detection

Monitor thousands of IoT sensors simultaneously. Detect anomalies when temperature readings exceed thresholds, triggering maintenance alerts before equipment fails.

Solution
-- Detect temperature anomalies in IoT sensors
SELECT sensor_id,
AVG(temperature) AS avg_temp,
MAX(temperature) AS max_temp,
MIN(temperature) AS min_temp,
COUNT(*) AS reading_count
FROM SensorReadings
WINDOW TUMBLING(5 min)
GROUP BY sensor_id
HAVING MAX(temperature) > 100
OR MIN(temperature) < 0
INSERT INTO AnomalyAlerts;
🔒

Fraud Detection Patterns

Identify fraudulent transaction patterns by detecting sequences of events that match known fraud signatures. Flag accounts with suspicious rapid transaction bursts.

Solution
-- Detect suspicious transaction patterns
SELECT account_id,
COUNT(*) AS tx_count,
SUM(amount) AS total_amount,
AVG(amount) AS avg_amount
FROM Transactions
WINDOW SESSION(10 min, account_id)
GROUP BY account_id
HAVING COUNT(*) > 5
AND SUM(amount) > 10000
INSERT INTO FraudAlerts;

Why Eventflux?

Built for the demands of modern real-time data processing

Blazing Fast

Lock-free data structures and zero-allocation hot paths deliver over 1 million events per second.

🔤

SQL-First

Write queries in familiar SQL with streaming extensions. No new language to learn.

🛡️

Memory Safe

Built in Rust with zero unsafe code in the hot path. No garbage collection pauses.

🔍

Pattern Matching

Detect complex event patterns with temporal constraints and correlation rules.

💾

Stateful Processing

Enterprise-grade state management with incremental checkpointing and recovery.

🌐

Distributed Ready

Scale horizontally with built-in support for clustering and partition-aware processing.

Ready to Process Events at Scale?

Join the community building the next generation of stream processing.