Apache Beam vs Apache Storm

Developers should learn Apache Beam when building complex, scalable data processing applications that need to handle both batch and streaming data with consistency across different execution environments 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 Beam

Nice Pick

Developers should learn Apache Beam when building complex, scalable data processing applications that need to handle both batch and streaming data with consistency across different execution environments

Pros

• It is particularly useful in scenarios requiring portability across cloud and on-premises systems, such as ETL (Extract, Transform, Load) pipelines, real-time analytics, and event-driven architectures, as it simplifies deployment and reduces vendor lock-in
• Related to: apache-flink, apache-spark

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 Beam is a framework while Apache Storm is a platform. We picked Apache Beam based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Apache Beam wins

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