Apache Flink offers true stream processing:

• Processes data as it arrives
• Supports stateful processing and complex event patterns
• Ideal for low-latency, real-time applications, such as event-time processing
  
  

Spark Streaming, on the other hand, uses micro-batching, which introduces some latency:

• Better suited for batch-oriented workloads with occasional real-time requirements

Snowplow integrates seamlessly with both frameworks, but Flink is typically the better choice for strict real-time applications.