Apache Samza vs Apache Storm

Developers should learn Apache Samza when building real-time analytics, monitoring systems, or event-driven applications that require low-latency processing of streaming data meets developers should learn apache storm when building applications that require real-time stream processing, such as real-time analytics, fraud detection, iot data processing, or social media sentiment analysis. Here's our take.

Apache Samza

Nice Pick

Developers should learn Apache Samza when building real-time analytics, monitoring systems, or event-driven applications that require low-latency processing of streaming data

Pros

• It is particularly useful in scenarios involving complex stateful computations, such as sessionization, fraud detection, or real-time recommendations, where maintaining state across events is critical
• Related to: apache-kafka, apache-hadoop

Cons

• Specific tradeoffs depend on your use case

Apache Storm

Developers should learn Apache Storm when building applications that require real-time stream processing, such as real-time analytics, fraud detection, IoT data processing, or social media sentiment analysis

Pros

• It's particularly useful in scenarios where low-latency processing of continuous data streams is critical, and it integrates well with message queues like Kafka or RabbitMQ for data ingestion
• Related to: apache-kafka, apache-flink

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Apache Samza is a framework while Apache Storm is a platform. We picked Apache Samza based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Apache Samza wins

Based on overall popularity. Apache Samza is more widely used, but Apache Storm excels in its own space.