Apache Flink vs Spark Streaming: which is better for real-time data processing?

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.