Apache Storm vs Apache Samza

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 meets developers should learn apache samza when building real-time analytics, monitoring systems, or event-driven applications that require low-latency processing of streaming data. Here's our take.

Apache Storm

Nice Pick

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

Apache Samza

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

The Verdict

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

The Bottom Line

Apache Storm wins

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