What are the top tools for real-time data processing (Kafka, Kinesis, Spark, Flink)?

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.

Learn How Builders Are Shaping the Future with Snowplow

From success stories and architecture deep dives to live events and AI trends — explore resources to help you design smarter data products and stay ahead of what’s next.

Browse our Latest Blog Posts

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.