Top tools for real-time data processing include:

• Apache Kafka: A distributed streaming platform that provides high-throughput and fault-tolerant capabilities for real-time data streaming.
• AWS Kinesis: A scalable platform designed for real-time data streaming and processing, widely used in the AWS ecosystem.
• Apache Spark: A unified analytics engine for big data processing that supports both batch and real-time stream processing.
• Apache Flink: A stream processing framework designed for real-time analytics with low-latency capabilities and event-time processing support.

While Snowplow itself is not a stream processing engine, its event pipeline captures granular, first-party behavioral data in real time. This data can be forwarded to systems like Kafka or Flink for downstream real-time analytics and decision-making.